GDPR (General Data Protection Regulation) is a data privacy protection law enacted by the European Union (EU) that came into effect on 25 May 2018. GDPR compliance regulates how organisations collect, store, process, and share personal data of individuals within the EU and the European Economic Area (EEA).

In this article…

Why does GDPR compliance matter?

What are the key things to know about GDPR?

GDPR in action – an example

What is the importance of GDPR, especially in digital ecosystems?

What are the main challenges of GDPR compliance in 2025?

In the context of GDPR in 2025, what are data challenges businesses face?

How can companies ensure GDPR compliance?

What are the specific GDPR concerns for the financial sector?

GDPR case study: HSBC – strengthening data privacy and compliance

Comments on GDPR from compliance specialists and industry leaders

A GDPR compliance checklist for the pharmaceutical sector (2025)

A GDPR compliance checklist for the insurance sector (2025)

A GDPR compliance checklist for the public sector (2025)

A GDPR compliance checklist for the legal sector (2025)

A GDPR compliance checklist for the financial services sector (2025)

Data privacy compliance software

Why does GDPR compliance matter?

GDPR is important because it protects individuals’ privacy and data rights, while also holding organisations accountable for how they handle personal information. Here’s why it matters.

GDPR protects personal data

GDPR ensures that companies cannot misuse or exploit personal data. Your name, email, IP address, and even biometric data are safeguarded, reducing risks like identity theft and fraud.

GDPR gives individuals more control

Because of GDPR, people now have the right to:

• Access their data (i.e. know what companies store about them).
• Request deletion (i.e. the right to be forgotten).
• Withdraw consent (e.g. easily unsubscribe from marketing emails).
• Move data to another service (i.e. data portability).
• Change their personal details
• Request restricted processing of their data
• Choose if their data is subject to automated decision making and profiling
• Be informed of changes in how their data is used.

GDPR helps prevent data breaches and cybercrime

With strict security requirements, companies must encrypt, secure, and monitor personal data, reducing the chances of massive data leaks.

GDPR holds companies accountable

Organisations must:

• Keep records of how they collect and process data.
• Notify authorities within 72 hours of a data breach.
• Stay compliant – there are penalties for non-compliance (up to €20 million or 4% of annual revenue).

GDPR has a global impact

Even though GDPR is an EU law, it applies to any company worldwide that handles data from EU/EEA residents. This has forced global businesses (like Google, Facebook, Amazon) to improve their data policies.

GDPR builds consumer trust

People are more likely to engage with brands that respect their privacy. GDPR-compliant businesses and organisations gain credibility and customer loyalty.

What are the key things to know about GDPR?

GDPR applies to any organisation worldwide that processes the personal data of EU/EEA residents, not just companies based in Europe. Key aspects include:

• Personal data protection– covers any information that can directly or indirectly identify an individual (e.g. name, email, IP address, biometric data).
• Consent– requires clear and explicit consent from individuals before collecting their data. It must be as easy for a subject to remove their consent as it is to give it.
• Right to access– individuals can request access to their data and how it is being used.
• Right to be forgotten– people can request for their personal data to be deleted.
• Data portability– individuals can request their data in a format that allows them to transfer it elsewhere.
• Breach notification– organisations must inform authorities within 72 hours of a data breach.
• Accountability and compliance– companies must document their data protection practices and may need to appoint a Data Protection Officer (DPO).
• Penalties– non-compliance can result in heavy fines, up to €20 million or 4% of annual global turnover, whichever is higher.

GDPR in action – an example

Let’s take an online shop. This shop is UK-based and sells its clothes to people around Europe. Here’s how it’s affected by GDPR.

Marketing consent

This online shop has to have opt-in consent from its customers. The shop isn’t allowed to ‘pre-tick’ consent boxes and automatic subscription to newsletters is not permitted.

Customer data requests

If a customer wants to know what personal data the shop has about them, the company must provide the relevant information within one calendar month. These requests are, in the context of GDPR, called data subject access requests (DSAR). Automating these requests through PRECOGNIQ ensures timely and accurate responses to requests, reducing administrative burden.

What’s an SRR?

A subject right request (SRR) is the term given to any data subject right request. A subject access right (SAR) is one of those rights. Specifically the right of access under article 15 of the GDPR. A SAR is made when an individual – usually a customer or employee – contacts your organisation to exercise their data rights. It’s a regulatory requirement that you carry out their wishes within a specified period (one calendar month, in the case of GDPR).

Right to be forgotten

If a customer requests their account and data to be deleted, the company must comply unless there’s a legal reason to keep some information (e.g. because of tax records).

Third-party compliance

If the company uses third-party services like payment processors (e.g. PayPal, Stripe) or email marketing tools (e.g. Mailchimp), it must ensure those services are also GDPR-compliant.

Data breach notification

If hackers steal customer data (e.g. names, addresses, or payment details), the company must report the breach to authorities within 72 hours.

What is the importance of GDPR, especially in digital ecosystems?

Data is a valuable asset in today’s digital world and GDPR plays an important role in ensuring that data is handled responsibly. Here’s why GDPR is particularly important in digital ecosystems.

GDPR protects user privacy in a data-driven world

Digital platforms, from social media to e-commerce, constantly collect, analyse, and share user data. GDPR ensures that companies can’t exploit personal data without user consent, reducing risks of data misuse.

GDPR regulates big tech and online services

Tech giants like Google, Facebook, and Amazon process massive amounts of personal data. GDPR forces them to be transparent about how they track users, collect data, and target ads.

It has led to stricter privacy settings (e.g. cookie consent pop-ups, opt-out options for personalised ads).

GDPR helps prevent some data breaches and cyberthreats

Digital ecosystems rely on cloud computing, AI, and IoT, all of which store sensitive data. GDPR enforces strong cybersecurity measures, ensuring companies encrypt data and have response plans in place.

GDPR helps increase trust and transparency

Users in digital spaces (social media, fintech, e-health, etc.) expect privacy and control over their data. GDPR builds consumer trust by giving individuals rights over their own information. Also, companies that comply with GDPR can benefit from stronger relationships with their customers.

GDPR supports ethical artificial intelligence (AI) and digital innovation

AI and machine learning models rely on vast amounts of personal data. GDPR ensures AI is used ethically, preventing biased decision-making and unlawful profiling. Under GDPR, companies must explain how AI-driven decisions are made if they affect individuals (e.g. credit scoring, job applications).

GDPR forces businesses to be accountable

Companies must document how they collect, process, and store data. They must conduct Data Protection Impact Assessments (DPIAs) when handling sensitive information. Non-compliance can lead to substantial fines (€20 million or 4% of global turnover).

GDPR sets a global standard for data privacy

Though it’s an EU law, GDPR has influenced global regulations (e.g. CCPA in California; India’s Personal Data Protection Bill). Many international companies now adopt GDPR-like policies to avoid legal risks when operating in Europe.

Conclusion

GDPR is essential in digital ecosystems because it balances innovation with privacy. It ensures that businesses can leverage data responsibly while giving individuals more control over their personal information. In a world where data fuels everything from AI to targeted ads, GDPR protects users, fosters trust, and strengthens digital security.

What are the main challenges of GDPR compliance in 2025?

As digital ecosystems evolve, GDPR compliance has become more complex. In 2025, organisations face several challenges due to emerging technologies, stricter enforcement, and evolving regulations. Here are some of the main challenges.

AI, machine learning and automated decision-making

Challenge: AI systems process vast amounts of personal data, often in ways that are difficult to explain. GDPR requires transparency and accountability for AI-driven decisions.

Example: companies using AI for hiring or credit scoring must justify their decisions and allow users to challenge them (Article 22 GDPR – Automated individual decision-making, including profiling.

Solution: businesses need to develop explainable AI (XAI) and ensure ethical data processing.

Increasing cybersecurity threats and data breaches

Challenge: cyberattacks (e.g. ransomware, phishing, data breaches) are more sophisticated, making GDPR’s 72-hour breach notification rule harder to comply with.

Example: hackers targeting cloud storage providers can expose millions of records, leading to massive GDPR fines.

Solution: companies must invest in real-time threat detection, encryption, and incident response plans.

Complexity of third-party and cloud compliance

Challenge: many businesses rely on third-party vendors (e.g. cloud providers, payment processors, CRM tools). If a vendor is non-compliant, the business is still liable under GDPR.

Example: a UK retailer using a non-compliant US cloud provider could still face GDPR fines.

Solution: companies must audit all third-party vendors, ensuring GDPR-compliant contracts (Data Processing Agreements – DPAs) are in place.

Global data transfers and post-Brexit regulations

Challenge: the EU-US Data Privacy Framework and Brexit have created uncertainty around international data transfers.

Example: the Schrems II ruling invalidated the EU–US Privacy Shield, requiring businesses to use Standard Contractual Clauses (SCCs) for transatlantic data transfers.

Solution: companies must stay updated on legal frameworks and implement data localisation strategies where needed.

Stricter enforcement and larger GDPR fines

Challenge: data protection authorities are becoming more aggressive in investigating and fining companies.

Example: Meta was fined €1.2 billion in 2023 for improper data transfers, and fines are expected to increase.

Solution: businesses must ensure continuous compliance, with regular GDPR audits and privacy impact assessments.

Growing consumer awareness and lawsuits

Challenge: consumers are more aware of their privacy rights, leading to more data access requests, complaints, and legal claims.

Example: individuals can now sue companies for GDPR violations, leading to class-action lawsuits (e.g. TikTok fined for handling children’s data).

Solution: businesses must improve data request handling systems and provide clear privacy policies.

Managing employee data and remote work

Challenge: GDPR also applies to employee data, but remote work makes data security harder.

Example: remote workers using personal devices or unsecured networks create compliance risks.

Solution: companies must enforce strong access controls, VPN usage, and employee data protection policies.

Conclusion

In 2025, GDPR compliance is more challenging than ever due to evolving technology, stricter enforcement, and increasing cybersecurity threats. Businesses must prioritise privacy-first approaches, strengthen security, and stay updated on regulations to avoid fines and maintain consumer trust.

In the context of GDPR in 2025, what are data challenges businesses face?

As digital ecosystems evolve, businesses face increasing data management challenges under GDPR, especially with cross-border data transfers and emerging technologies like AI. Below are the key challenges.

Cross-border data transfers and regulatory uncertainty

Challenge: GDPR restricts data transfers outside the EU/EEA, requiring companies to use approved safeguards. However, legal frameworks keep changing, creating uncertainty.

Key issues:

• the EU-US Data Privacy Framework (2023) replaced the Privacy Shield, but legal challenges could disrupt it.
• Brexit means UK businesses must comply with both GDPR and UK GDPR, adding complexity.
• Standard Contractual Clauses (SCCs)require businesses to conduct Transfer Impact Assessments (TIAs), increasing administrative burdens.

Example: Meta was fined €1.2 billion in 2023 for improper EU-US data transfers.

Solution:

• implement data localisation strategies to store EU data within the EU.
• use SCCs and assess third-party compliance with GDPR.
• regularly review legal developments in data transfer frameworks.

AI and automated decision-making compliance

Challenge: AI processes vast amounts of personal data, but GDPR requires transparency, fairness, and accountability. Businesses must explain how AI makes decisions, especially in areas like hiring, credit scoring, and healthcare.

Key Issues:

• article 22 GDPR gives individuals the right not to be subject to fully automated decisions.
• AI often relies on black-box models, making explanations difficult.
• bias in AI decision-making can violate GDPR principles of fairness and non-discrimination.

Example: a financial institution using AI for loan approvals must explain its algorithmic decisions and allow customers to challenge them.

Solution:

• use explainable AI (XAI) to ensure transparency.
• conduct Data Protection Impact Assessments (DPIAs) before deploying AI.
• ensure AI models only process necessary and lawful personal data.

Increased cybersecurity risks and data breaches

Challenge: cyberthreats (like ransomware, phishing, supply chain attacks) are increasing, making GDPR’s 72-hour breach notification rule difficult to comply with.

Key Issues:

• businesses must detect and report breaches quickly to avoid fines.
• data stored in cloud environments faces greater exposure to cyberthreats.
• weak third-party security can lead to indirect GDPR violations.

Example: British Airways was fined £20 million for a 2018 cyberattack that compromised 400,000 customer records.

Solution:

• implement real-time threat detection and encryption.
• regular penetration testing and incident response planning.
• ensure cloud service providers comply with GDPR security requirements.

Managing employee and customer data in remote work environments

Challenge: GDPR applies to employee data, but remote work creates risks, such as unsecured devices, weak passwords, and data leaks.

Key issues:

• employees accessing customer data from personal devices may breach GDPR.
• lack of clear policies for remote work data security.
• companies must ensure lawful monitoring of employees without violating privacy rights.

Example: a company monitoring remote workers via webcam or tracking software must ensure compliance with GDPR’s principles of lawfulness, transparency, and necessity.

Solution:

• enforce strong access controls, VPNs, and multi-factor authentication.
• provide GDPR training for remote employees.
• implement clear remote work policies on data protection.

Growing consumer awareness and increased data requests

Challenge: individuals are exercising their GDPR rights more frequently, creating operational burdens for businesses handling:

• right to Access (Article 15)– users request copies of their personal data.
• right to Erasure (Article 17)– ‘right to be forgotten’ requests.
• right to Object (Article 21)– opt-out from data processing (e.g. targeted advertising).

Key issues:

• responding to Data Subject Access Requests (DSARs) within one calendar month can be costly.
• companies must verify identities before fulfilling requests to prevent fraud.
• large businesses face thousands of data requests, creating administrative strain.

Example: TikTok was fined €345 million in 2023 for failing to handle children’s data requests properly.

Solution:

• automate DSAR handling with self-service portals.
• ensure identity verification measures to prevent fraudulent requests.
• maintain clear privacy policies to manage user expectations.

Third-party and cloud vendor compliance

Challenge: many businesses rely on third-party services (e.g. CRM, cloud storage, analytics tools), but GDPR makes the data controller responsible for vendor compliance.

Key issues:

• if a third-party vendor is non-compliant, the business is still liable under GDPR.
• companies must ensure Data Processing Agreements (DPAs) are in place.
• shadow IT(employees using unauthorised apps) creates GDPR risks.

Example: A UK retailer using a non-GDPR-compliant US cloud provider can still face penalties.

Solution:

• conduct vendor audits and require GDPR compliance certifications.
• use Data Processing Agreements (DPAs) to define data protection responsibilities.
• implement shadow IT monitoring to prevent unauthorised data transfers.

Conclusion

In 2025, GDPR compliance is becoming more challenging due to evolving technology, stricter regulations, and growing cyberthreats. Businesses must take a privacy-first approach, investing in secure, transparent, and ethical data practices to stay compliant.

How can companies ensure GDPR compliance?

To stay compliant with GDPR, companies must take a proactive, structured approach to data protection. Below are the main ten key steps businesses should follow.

1. Appoint a Data Protection Officer (DPO) (if required)

Who needs a DPO?

• Public authorities or organisations (e.g. hospitals, banks) processing large-scale sensitive data.
• Companies using data for automated decision-making or profiling.

DPO responsibilities:

• ensure compliance with GDPR policies.
• conduct Data Protection Impact Assessments (DPIAs).
• act as the contact point for regulators and data subjects.

2. Conduct a GDPR data audit

Why? Identifies what personal data you collect, how you process it, and where it’s stored. Follow these steps:

• map out data flows (who collects, processes, and shares data).
• identify legal bases for data processing (consent, contract, legal obligation, legitimate interest).
• check third-party vendors (cloud providers, payment processors) for GDPR compliance.

3. Implement data minimisation and purpose limitation

Why? GDPR requires companies to only collect necessary data and use it for a specific purpose. Follow these best practices:

• avoid collecting excessive personal data (e.g. asking for a date of birth when not required).
• ensure data is not stored longer than necessary (data retention policy).
• anonymise or pseudonymise data where possible.

4. Strengthen cybersecurity measures

Why? GDPR requires businesses to protect personal data from unauthorised access, loss, or breaches. Follow these security measures:

• encrypt sensitive data.
• use multi-factor authentication (MFA) for user accounts.
• ensure regular security audits and penetration testing.
• implement real-time breach detection.

5. Ensure lawful and transparent data processing

Why? GDPR requires a clear legal basis for processing data and transparency with users. Follow these best practices:

• obtain explicit consent before collecting personal data (no pre-ticked boxes).
• update privacy policies to clearly explain what data is collected and why.
• allow users to easily withdraw consent.

6. Manage data subject access requests efficiently

Why? GDPR grants individuals rights over their data, including:

• right to access (Article 15) – users can request a copy of their data.
• right to be forgotten (Article 17) – users can request data deletion.
• right to data portability (Article 20) – users can request their data in a usable format.

Follow these best practices:

• set up an automated system for handling requests.
• verify user identities before processing requests.
• respond within one calendar month (GDPR deadline).

7. Ensure third-party compliance (i.e. vendor management)

Why? Businesses are responsible for ensuring GDPR compliance of any third parties handling their data. Follow these steps:

• sign Data Processing Agreements (DPAs) with vendors.
• regularly audit third-party services (e.g. cloud providers, CRM tools).
• use GDPR-compliant tools for email marketing, analytics, and payments.

8. Prepare for data breaches

Why? GDPR requires businesses to report serious breaches within 72 hours. Follow these best practices:

• develop a Data Breach Response Plan.
• train employees on how to detect and report breaches.
• notify the Data Protection Authority (DPA) and affected users within 72 hours.

9. Stay updated with GDPR and train employees

Why? GDPR regulations evolve, and staff errors are a major cause of data breaches. Follow these best practices:

• conduct regular GDPR training for employees handling data.
• keep track of GDPR enforcement trends and regulatory updates.
• assign privacy champions in different departments to ensure compliance.

10. Avoid these common GDPR mistakes

• Not obtaining clear consent (e.g. using pre-ticked boxes).
• Failing to document processing activities.
• Not securing customer and employee data properly.
• Using non-GDPR-compliant third-party tools.
• Ignoring data subject access requests or delaying responses.

Final thoughts

Ensuring GDPR compliance in 2025 requires a privacy-first approach. Businesses must focus on strong security, transparent data practices, and continuous monitoring to avoid hefty fines and protect user trust.

What are the specific GDPR concerns for the financial sector?

The financial sector (banks, fintechs, insurance firms, and payment providers) faces unique GDPR challenges due to the high volume of sensitive data, strict regulatory oversight, and increasing cyberthreats. Below are the key concerns and how businesses can address them.

Processing of highly sensitive personal data

Challenge: financial institutions process personally identifiable information (PII) and special category data (e.g. biometrics for authentication, health data for insurance). GDPR requires lawful, secure, and transparent data processing.

Key concerns include:

• legal basis for processing – financial firms must ensure all data collection complies with Article 6 GDPR (e.g. contract necessity, legal obligation, consent).
• data minimisation – only necessary data should be collected (e.g. avoiding excessive customer profiling).

Solution:

• conduct Data Protection Impact Assessments (DPIAs) before introducing new data-driven financial products.
• ensure clear consent mechanisms for processing non-essential data.

Stronger cybersecurity and fraud prevention

Challenge: financial firms are prime targets for cyberattacks (phishing, identity theft, ransomware). GDPR’s Article 32 requires firms to implement appropriate security measures to protect personal data.

Key concerns include:

• Data Breach Notification Rule (72 Hours) – firms must report breaches to regulators and affected customers within 72 hours.
• increased Ransomware Attacks – cybercriminals increasingly target financial data, leading to GDPR compliance risks.

Solution:

• use end-to-end encryption and real-time fraud detection tools.
• implement Zero Trust security models to restrict unauthorised access.
• conduct regular penetration testing and third-party risk assessments.

AI, automated decision-making and customer profiling

Challenge: many financial institutions use AI-driven credit scoring, fraud detection, and risk analysis, but GDPR restricts automated decision-making that impacts individuals.

Key concerns include:

• right to explanation (Article 22 GDPR) – customers can challenge AI-based decisions (e.g. loan denials).
• bias in AI algorithms – unfair data processing could lead to discrimination (e.g. biased lending models).

Solution:

• implement explainable AI (XAI) to ensure transparency in decisions.
• allow manual intervention for critical decisions affecting customers.
• ensure data protection by design when developing AI-driven financial services.

Third-party compliance and open banking risks

Challenge: many financial institutions outsource services (e.g. cloud providers, payment gateways) and participate in open banking, increasing GDPR risks.

Key concerns include:

• liability for third-party breaches – financial firms remain responsible for GDPR compliance of third-party providers.
• secure open banking APIs – GDPR requires strict security for APIs that share financial data with third parties.

Solution:

• ensure Data Processing Agreements (DPAs) are signed with all vendors.
• conduct regular third-party audits to assess GDPR compliance.
• implement secure API authentication to prevent unauthorised data access.

International data transfers and regulatory compliance

Challenge: financial firms operating globally must ensure compliance with GDPR’s data transfer rules (especially post-Brexit and after Schrems II).

Key concerns include:

• EU–US data transfers – The EU–US Data Privacy Framework (2023) is under legal scrutiny.
• UK–EU data transfers – UK firms must comply with both UK GDPR and EU GDPR.

Solution:

• use Standard Contractual Clauses (SCCs) and conduct Transfer Impact Assessments (TIAs) for non-EU data transfers.
• implement data localisation strategies to store EU customer data within the EU.

Managing customer data requests (right to and access and erasure)

Challenge: financial institutions must handle a high volume of data subject access requests (DSARs) under GDPR.

Key concerns include:

• right to access (Article 15 GDPR) – customers can request copies of their financial data.
• right to erasure (Article 17 GDPR) – banks must delete customer data unless legal obligations (e.g. anti-money laundering laws) require retention.

Solution:

• automate DSAR handling with self-service portals.
• ensure legal exemption documentation for data retention.

Employee data privacy and insider threats

Challenge: banks and financial firms process employee personal data (e.g. performance tracking, biometric logins, monitoring software). GDPR regulates how employee data is handled.

Key concerns include:

• lawful employee monitoring – GDPR limits excessive workplace surveillance.
• insider data breaches – employees handling financial data pose a security risk if proper controls aren’t in place.

Solution:

• implement role-based access controls (RBAC) to restrict sensitive data access.
• ensure employee privacy policies comply with GDPR.
• conduct cybersecurity awareness training to reduce insider threats.

Marketing and customer consent management

Challenge: financial institutions must ensure marketing practices (email, SMS, targeted ads) comply with GDPR and e-privacy regulations.

Key concerns include:

• explicit opt-in for marketing (Article 6 GDPR) – no pre-ticked consent boxes.
• data retention limits – financial firms cannot keep marketing data indefinitely.

Solution:

• implement consent management platforms (CMPs) to track customer preferences.
• provide easy opt-out mechanisms for marketing communications.

Conclusion

The financial sector faces complex GDPR challenges due to the high sensitivity of data, reliance on AI, third-party risks, and cybersecurity threats. To stay compliant, financial firms must:

• strengthen cybersecurity to prevent data breaches.
• ensure AI transparency in automated decision-making.
• implement secure Open Banking APIs and third-party audits.
• automate customer data requests for efficiency.
• stay updated on cross-border data transfer laws (e.g. Schrems II, Brexit changes).

GDPR case study: HSBC – strengthening data privacy and compliance

HSBC, one of the world’s largest financial institutions, operates in over 60 countries, processing vast amounts of customer financial data. The introduction of GDPR in 2018 and ongoing regulatory updates in 2025 forced HSBC to revamp its data privacy strategy to ensure compliance and avoid hefty fines. Here’s a summary of the key GDPR challenges that HSBC faced.

Managing customer data across multiple jurisdictions

Issue: HSBC processes customer data globally, meaning compliance with both EU GDPR, UK GDPR, and local data protection laws (e.g. Singapore’s PDPA, California’s CCPA).

Risk: cross-border data transfers became more complex after the Schrems II ruling, requiring HSBC to reassess Standard Contractual Clauses (SCCs) and data localisation strategies.

Solution: HSBC implemented regional data centres to store European customer data within the EU, reducing reliance on international data transfers.

Preventing cybersecurity breaches and fraud

Issue: HSBC, like other banks, faced increasing threats from cyberattacks, phishing scams, and insider breaches.

Risk: a data breach could trigger GDPR’s 72-hour notification rule, leading to fines of up to €20 million or 4% of annual revenue.

Solution:

• end-to-end encryption and multi-factor authentication (MFA) to protect customer data.
• AI-powered fraud detection to prevent unauthorised access.
• regular penetration testing and internal audits.

AI and automated decision-making in credit scoring

Issue: HSBC uses AI-driven credit scoring models to assess loan applications. However, GDPR restricts fully automated decisions (Article 22) if they significantly impact individuals.

Risk: customers could challenge HSBC’s AI-driven credit decisions, demanding explanations for loan rejections.

Solution:

• HSBC introduced explainable AI (XAI), ensuring transparency in decision-making.
• customers can request a manual review of AI-generated decisions.

Handling customer data requests (right to access and erasure)

Issue: HSBC receives thousands of data subject access requests (DSARs) from customers wanting access to their financial data.

Risk: GDPR mandates firms to respond within one calendar month, creating operational pressure.

Solution:

• HSBC implemented a self-service GDPR portal, allowing customers to request account data securely and also request data deletion (if legally allowed).
• HSBC automated identity verification to prevent fraud.

Marketing and customer consent management

Issue: HSBC needed to ensure its marketing campaigns (emails, SMS, ads) complied with GDPR’s consent requirements.

Risk: GDPR prohibits pre-ticked marketing consent boxes and requires clear opt-out options.

Solution:

• HSBC rolled out a Consent Management Platform (CMP) to track customer preferences.
• customers can update marketing preferences anytime via the mobile app.

Outcome: HSBC’s GDPR compliance success

• No major GDPR fines since implementation.
• Improved customer trust and data security.
• Faster data subject access request processing (reduced from 30 days to 10 days).
• Enhanced AI transparency in financial decision-making.

Key takeaways for financial institutions

• Invest in AI transparency for credit scoring and risk analysis.
• Implement data localisation to simplify cross-border compliance.
• Strengthen cybersecurity to prevent GDPR breaches.
• Automate DSAR handling to improve customer experience.
• Ensure marketing consent compliance to avoid fines.

Comments on GDPR from compliance specialists and industry leaders

On the importance of GDPR compliance

“GDPR is not just about avoiding fines; it’s about building trust. Customers expect transparency, and financial institutions must prove they deserve that trust.”
— Elizabeth Denham, former UK Information Commissioner 

On data protection in financial services

“Financial institutions handle the most sensitive data. Compliance is not optional – it’s a fundamental pillar of risk management and customer confidence.”
— Giovanni Buttarelli, former European Data Protection Supervisor

On GDPR and AI in finance

“AI-driven decision-making in banking must be explainable. GDPR mandates fairness and accountability, meaning ‘black-box’ algorithms will not pass regulatory scrutiny.”
— Max Schrems, Privacy Advocate and Lawyer

On cross-border data transfers

“Post-Schrems II, financial firms must rethink data transfers. Relying on old mechanisms is risky – data localisation and impact assessments are the new norm.”
— Eduardo Ustaran, Global Privacy and Cybersecurity Lawyer

 On cybersecurity and GDPR

“Financial firms face the double challenge of cyberthreats and regulatory fines. Strong encryption, access controls, and real-time monitoring are no longer optional.”
— Helen Dixon, Irish Data Protection Commissioner

A GDPR compliance checklist for the pharmaceutical sector (2025)

The pharmaceutical sector processes vast amounts of personal and sensitive health data, making GDPR compliance critical. Below is a comprehensive checklist to ensure full compliance while managing patient data, clinical trials, and research and development.

1. Data protection governance and accountability

• Appoint a Data Protection Officer (DPO) if processing large-scale sensitive health data.
• Maintain a Record of Processing Activities (RoPA) (Article 30 GDPR).
• Conduct Data Protection Impact Assessments (DPIAs) for high-risk data processing (e.g. AI-based diagnostics, clinical trials).
• Implement data protection by design and default in all projects.

2. Legal basis for processing health data

• Ensure all personal and health data processing is lawful (Article 6 GDPR).
• Use explicit consent (Article 9) for sensitive health data, unless exemptions apply (e.g. public interest, scientific research).
• Maintain clear and accessible patient information about data usage.
• Implement consent management systems for easy withdrawal.

3. Secure clinical trial and research data

• Ensure anonymisation or pseudonymisation of patient data in research.
• If reusing data for research, confirm it aligns with initial consent or legitimate interest.
• Implement ethical approval and regulatory compliance checks (e.g. EMA, MHRA).
• Maintain data retention policies aligned with clinical trial regulations.

4. Cross-border data transfers and third-party compliance

• If transferring health data outside the EU, use Standard Contractual Clauses (SCCs) or adequacy agreements.
• Conduct Transfer Impact Assessments (TIAs) post-Schrems II ruling.
• Ensure third-party vendors (e.g. cloud storage, labs) sign Data Processing Agreements (DPAs).
• Verify compliance of AI-driven drug development platforms with GDPR.

5. Cybersecurity and data breach management

• Encrypt health records and use multi-factor authentication (MFA).
• Implement role-based access controls (RBAC) for sensitive data.
• Develop a Data Breach Response Plan (Article 33 GDPR).
• Notify regulators of breaches within 72 hours.
• Conduct regular penetration testing to identify vulnerabilities.

6. Data subject rights and transparency

• Enable patients and trial participants to:
  • access their data (Article 15 GDPR).
  • correct inaccuracies (Article 16 GDPR).
  • request data deletion where applicable (Article 17 GDPR).
• Ensure automated AI-based health decisions provide human oversight (Article 22 GDPR).
• Provide a clear privacy policy on data usage and storage.

7. Employee and internal compliance training

• Conduct regular GDPR and data privacy training for employees handling patient data.
• Implement strict employee access policies for medical records.
• Establish whistleblowing channels for GDPR violations.

Final steps

1. Conduct annual GDPR audits to assess compliance.
2. Stay updated on EU regulatory changes affecting pharma data.
3. Align GDPR efforts with good clinical practice (GCP) and ISO 27001 for data security.

A GDPR compliance checklist for the insurance sector (2025)

The insurance sector processes vast amounts of personal, financial, and health data, making GDPR compliance critical. This checklist ensures that insurers comply with data protection laws while managing claims, underwriting, and fraud detection.

1. Data protection governance and accountability

• Appoint a Data Protection Officer (DPO) if processing large-scale sensitive data.
• Maintain a Record of Processing Activities (RoPA) (Article 30 GDPR).
• Conduct Data Protection Impact Assessments (DPIAs) for high-risk processing (e.g. AI-based risk profiling, health data).
• Implement data protection by design and default in all processes.

2. Legal basis for processing personal and sensitive data

• Ensure all data processing has alawful basis (Article 6 GDPR).
• Use explicit consent (Article 9) for health data in life and health insurance.
• Justify automated decision-making (Article 22 GDPR) in claims assessment and risk profiling.
• Provide clear customer notices explaining data usage and retention periods.

3. Customer data rights and transparency

• Enable policy holders to:
  • access their data (Article 15 GDPR).
  • correct inaccuracies(Article 16 GDPR).
  • request data deletion (where applicable, Article 17 GDPR).
• Allow customers to challenge automated underwriting decisions.
• Provide a transparent privacy policy on websites and policy documents.

4. Cybersecurity and data breach management

• Encrypt policyholder and claims data and use multi-factor authentication (MFA).
• Implement role-based access controls (RBAC) for sensitive data.
• Develop a Data Breach Response Plan (Article 33 GDPR).
• Notify regulators of breaches within 72 hours.
• Conduct regular cybersecurity audits and penetration testing.

5. AI, big data and fraud detection compliance

• Ensure AI-driven risk assessment and fraud detection comply with GDPR’s fairness principles.
• Conduct bias testing in predictive models to avoid discrimination.
• Provide explainability for AI decisions (Article 22 GDPR).
• Obtain explicit consent for telematics-based policies (e.g. car insurance tracking).

6. Cross-border data transfers and third-party risk

• If transferring data outside the EU, useStandard Contractual Clauses (SCCs) or adequacy decisions.
• Conduct Transfer Impact Assessments (TIAs) to ensure GDPR compliance.
• Ensure third-party processors (e.g. brokers, reinsurers, cloud providers) sign Data Processing Agreements (DPAs).
• Verify compliance of insurance comparison platforms and aggregators.

7. Marketing and customer consent management

• Obtain explicit opt-in for marketing communications (Article 6 GDPR).
• Implement Consent Management Platforms (CMPs) to track and update preferences.
• Allow easy opt-out mechanisms in emails, SMS, and phone marketing.
• Ensure third-party ad tracking and cookies comply with e-privacy and GDPR.

8. Employee and internal data protection compliance

• Conduct GDPR and data security training for employees handling policyholder data.
• Implement strict employee access policies to prevent internal fraud.
• Establish whistleblowing channels for GDPR violations.

Final steps

1. Conduct annual GDPR audits to assess compliance.
2. Stay updated onregulatory changes affecting insurance data.
3. Align GDPR efforts with Solvency II & ISO 27001 for data security. 

A GDPR compliance checklist for the public sector (2025)

Public sector organisations, including government agencies, councils, NHS bodies, and law enforcement, handle vast amounts of citizens’ personal and sensitive data. Ensuring GDPR compliance is crucial to protect privacy, maintain trust, and avoid fines.

1. Data protection governance and accountability

• Appoint a Data Protection Officer (DPO) (mandatory for public bodies under GDPR).
• Maintain a Record of Processing Activities (RoPA) (Article 30 GDPR).
• Conduct Data Protection Impact Assessments (DPIAs) for high-risk data processing (e.g. CCTV, biometrics, AI-driven decision-making).
• Implement data protection by design and default in all digital services.
• Ensure GDPR compliance policies are documented and regularly updated.

2. Lawful basis for processing public sector data

• Ensure all data processing has a lawful basis under Article 6 GDPR (e.g. public interest, legal obligation, contract).
• If processing special category data (e.g. health, biometrics, racial data), ensure an additional legal basis under Article 9.
• Justify automated decision-making (Article 22 GDPR) in areas like social benefits or law enforcement.
• Ensure data sharing agreements exist between government agencies.

3. Citizens’ rights and transparency

• Enable individuals to:
  • access their data (Article 15 GDPR).
  • correct inaccuracies (Article 16 GDPR).
  • request data deletion (where applicable, Article 17 GDPR).
• Ensure privacy notices are clear, accessible, and in plain language.
• Provide exemptions where national security or law enforcement applies.

4. Cybersecurity and data breach management

• Encrypt sensitive citizen data and use multi-factor authentication (MFA).
• Implement role-based access controls (RBAC) for public sector staff.
• Develop a Data Breach Response Plan (Article 33 GDPR).
• Notify regulators (e.g. ICO) of breaches within 72 hours.
• Conduct regular cybersecurity audits and penetration testing.

5. AI, biometrics and emerging technology compliance

• Ensure AI-driven decisions (e.g. fraud detection, law enforcement analytics) comply with GDPR fairness principles.
• Conduct bias testing in predictive models used for citizen profiling.
• Obtain explicit consent for facial recognition, biometrics, or smart city surveillance projects.
• Provide explainability for AI-based decisions affecting individuals.

6. Cross-border data transfers and third-party compliance

• If transferring data outside the UK/EU, use Standard Contractual Clauses (SCCs) or an adequacy decision.
• Conduct Transfer Impact Assessments (TIAs) for international data sharing.
• Ensure third-party processors (e.g. cloud providers, contractors) sign Data Processing Agreements (DPAs).
• Regularly review outsourced IT services and vendors for GDPR compliance.

7. Data retention and minimisation

• Apply data minimisation – only collect what is necessary.
• Implement strict data retention policies aligned with sector-specific regulations.
• Regularly review and securely delete outdated records.

8. Employee and public sector training

• Conduct regular GDPR and data security training for government staff.
• Implement strict employee access policies to prevent internal misuse.
• Establish whistleblowing channels for GDPR violations.

Final steps

1. Conduct annual GDPR audits to assess compliance.
2. Stay updated on UK GDPR and Data Protection Act amendments.
3. Align GDPR efforts with freedom of information (FOI) and national security exemptions.

A GDPR compliance checklist for the legal sector (2025)

Law firms, solicitors, barristers, and legal service providers handle highly sensitive client data, including personal, financial, and confidential case details. GDPR compliance is essential to ensure client trust, avoid regulatory penalties, and meet professional obligations.

1. Data protection governance and accountability

• Appoint a Data Protection Officer (DPO) if processing large volumes of sensitive data.
• Maintain a Record of Processing Activities (RoPA) (Article 30 GDPR).
• Conduct Data Protection Impact Assessments (DPIAs) for high-risk data processing (e.g. litigation analytics, AI-driven legal advice).
• Implement data protection by design and default in case management systems.
• Establish GDPR policies and regularly review them.

2. Legal basis for processing client data

• Ensure all data processing has a lawful basis under Article 6 GDPR (e.g. contractual necessity, legal obligation, legitimate interest).
• If processing special category data (e.g. health, criminal records, ethnicity), justify under Article 9 GDPR (e.g. legal claims, public interest).
• Clearly define data retention periods for client records.
• Obtain client consent where necessary, ensuring opt-in mechanisms for marketing.

3. Client data rights and transparency

• Enable clients to:
  • access their data (Article 15 GDPR).
  • correct inaccuracies (Article 16 GDPR).
  • request data deletion (where applicable, Article 17 GDPR).
• Provide a clear, accessible privacy notice explaining data usage.
• Ensure exemptions for legal privilege are properly applied.

4. Cybersecurity and data breach management

• Encrypt sensitive case files and communications (email encryption, secure portals).
• Implement multi-factor authentication (MFA) and role-based access controls (RBAC).
• Develop a Data Breach Response Plan (Article 33 GDPR).
• Notify regulators (e.g. ICO) of breaches within 72 hours.
• Conduct regular cybersecurity audits and penetration testing.

5. AI, e-discovery and digital case management

• Ensure AI-driven legal analytics and case research tools comply with GDPR fairness principles.
• Conduct bias testing in predictive models used for case strategy or sentencing analytics.
• Provide explainability for AI-based decisions affecting clients.
• If using e-discovery tools, ensure compliance with GDPR’s data minimisation requirements.

6. Cross-border data transfers and third-party compliance

• If transferring case data outside the UK/EU, use Standard Contractual Clauses (SCCs) or an adequacy decision.
• Conduct Transfer Impact Assessments (TIAs) for international data sharing.
• Ensure third-party vendors (e.g. cloud providers, legal tech software) sign Data Processing Agreements (DPAs).
• Regularly review outsourced legal research and transcription services for GDPR compliance.

7. Data retention and minimisation

• Apply data minimisation – only collect and store essential case information.
  Implement strict data retention policies (aligned with SRA, Bar Council, or ICO guidelines).
• Regularly review and securely delete outdated client files.
• Use secure disposal methods for paper records (shredding, certified destruction).

8. Employee and legal sector training

• Conduct regular GDPR and data security training for legal professionals and support staff.
• Implement strict employee access policies to prevent internal data misuse.
• Establish whistleblowing channels for GDPR violations.
• Ensure proper handling of privileged and confidential information.

Final steps

1. Conduct annual GDPR audits to assess compliance.
2. Stay updated on UK GDPR, Data Protection Act, and evolving case law.
3. Align GDPR efforts with Solicitors Regulation Authority (SRA) and Bar Standards Board (BSB) compliance requirements.

A GDPR compliance checklist for the financial services sector (2025)

The financial services sector processes vast amounts of personal, financial, and transactional data, making GDPR compliance critical. This checklist ensures banks, investment firms, fintech companies, and insurance providers meet data protection obligations while handling customer data securely.

1. Data protection governance and accountability

• Appoint a Data Protection Officer (DPO) if processing large-scale financial data.
• Maintain a Record of Processing Activities (RoPA) (Article 30 GDPR).
• Conduct Data Protection Impact Assessments (DPIAs) for high-risk processing (e.g. AI-based credit scoring, fraud detection).
• Implement data protection by design and default in all digital services and financial platforms.
• Ensure GDPR compliance policies are documented and regularly reviewed.

2. Legal basis for processing financial data

• Ensure all customer data processing has a lawful basis (Article 6 GDPR), such as:
  • contractual necessity (e.g. processing transactions, loan approvals).
  • legal obligation (e.g. anti-money laundering, KYC requirements).
  • legitimate interest (e.g. fraud prevention, risk assessment).
• Obtain explicit consent for processing special category data (e.g. biometric authentication, credit profiling).
• Ensure automated decision-making (AI-driven credit scoring, loan approvals) has a human review option (Article 22 GDPR).

3. Customer rights and transparency

• Enable customers to:
  • access their data (Article 15 GDPR).
  • correct inaccuracies (Article 16 GDPR).
  • request data deletion (where applicable, Article 17 GDPR).
• Provide clear privacy notices explaining how personal data is used, stored, and shared.
• Allow customers to challenge AI-based financial decisions affecting them.

4. Cybersecurity and data breach management

• Encrypt customer financial data and transaction records.
• Implement multi-factor authentication (MFA) and biometric security for online banking and fintech apps.
• Develop a Data Breach Response Plan (Article 33 GDPR).
• Notify regulators (e.g. ICO, FCA) of data breaches within 72 hours.
• Conduct regular cybersecurity audits and penetration testing.
• Apply strict access controls to prevent insider threats.

5. AI, open banking and digital finance compliance

• Ensure AI-driven credit risk and fraud detection systems comply with GDPR’s fairness and transparency requirements.
• Conduct bias testing in predictive models to prevent financial discrimination.
• If using open banking APIs, ensure third-party providers comply with GDPR & PSD2.
• Provide explainability for AI-based loan decisions (Article 22 GDPR).

6. Cross-border data transfers and third-party compliance

• If transferring financial data outside the UK/EU, use Standard Contractual Clauses (SCCs) or an adequacy decision.
• Conduct Transfer Impact Assessments (TIAs) for global banking operations.
• Ensure third-party vendors (e.g. payment processors, cloud providers) sign Data Processing Agreements (DPAs).
• Verify GDPR compliance of fintech partners and data aggregators.

7. Fraud prevention and transaction monitoring compliance

• Use fraud detection tools in compliance with GDPR and AMLD regulations.
• Minimise data collection in transaction monitoring to avoid excessive profiling.
• Ensure automated fraud checks allow human intervention where necessary.
• Align GDPR compliance with Financial Conduct Authority (FCA) and anti-money laundering (AML) regulations.

8. Data retention and minimisation

• Apply data minimisation principles—only collect what is necessary.
• Implement strict data retention policies aligned with financial regulations.
• Regularly review and securely delete outdated customer records.
• Use secure disposal methods for financial statements and transaction data.

9. Marketing, customer profiling and consent management

• Obtain explicit opt-in for marketing communications (Article 6 GDPR).
• Implement consent management platforms (CMPs) to track and update customer preferences.
• Allow easy opt-out mechanisms for marketing emails, SMS, and phone calls.
• Ensure third-party ad tracking and cookies comply with e-privacy & GDPR.

10. Employee and internal data protection compliance

• Conduct regular GDPR and financial data security training for employees.
• Implement strict employee access policies to prevent internal fraud.
• Establish whistleblowing channels for GDPR violations.
• Ensure proper handling of client financial records and transaction data.

Final steps

1. Conduct annual GDPR audits to assess compliance.
2. Stay updated on UK GDPR, Data Protection Act, FCA, and PSD2 regulations.
3. Align GDPR efforts with ISO 27001 and financial security best practices.

Data privacy compliance software

PRECOGNIQ is a data privacy solution developed by Insightful Technology, designed to automate and streamline compliance with data protection regulations such as the General Data Protection Regulation (GDPR). It offers organisations a comprehensive platform to manage data subject rights access requests and disclosure processes efficiently. 

Key features of PRECOGNIQ include:

• Automated data privacy management: minimises manual intervention and reduces the risk of human error. 
• Subject rights requests workflow: integrated and fully automated to handle requests, simplifying the management of customer and employee data. 
• Data discovery and redaction: the solution enables the creation of web forms to capture privacy rights requests, automating the process from intake to fulfilment, including data discovery and redaction of sensitive information. 

Find out more

Frequently Asked Questions (FAQs)

Who needs to comply with GDPR?
Any organisation that processes the personal data of EU/EEA residents, regardless of where the organisation is based.

What qualifies as personal data under GDPR?
Any information that can directly or indirectly identify an individual, such as name, email, IP address, location data, and biometric data.

What happens if a company doesn’t comply with GDPR?
Non-compliance can result in fines of up to €20 million or 4% of the company’s global annual revenue, whichever is higher.

How can businesses handle subject access requests (SARs) efficiently?
Automating SAR workflows with solutions like PRECOGNIQ ensures timely and accurate responses, reducing administrative workload.

How does GDPR impact marketing activities?
Companies must obtain explicit opt-in consent for marketing communications and provide easy opt-out mechanisms.

Can GDPR compliance be automated?
Yes, platforms like PRECOGNIQ streamline GDPR compliance by automating data subject access requests, privacy rights management, and breach reporting.

How much has been collected in GDPR fines since its enforcement?

As of February 2025, the cumulative total of fines issued for GDPR violations across Europe has reached approximately €5.88 billion since the regulation came into force in 2018. (DLA Piper GDPR Fines Survey 2025)

What are some of the largest GDPR fines issued?

Some of the most significant GDPR fines include:

• Meta Platforms, Inc. – €1.2 billion fine (May 2023) for transferring EU user data to the U.S. without sufficient safeguards.
• Amazon Europe Core S.à.r.l. – €746 million fine (July 2021) for non-compliance with general data processing principles.
  (Statista GDPR Fine Report)

Which industries have incurred the highest GDPR fines?

The media, telecoms, and broadcasting sector has received the highest total GDPR fines, amounting to approximately €4 billion as of February 2025.
(Statista GDPR Fines by Industry)

How has GDPR influenced global data protection regulations?

GDPR has set a global standard for data privacy, with over 140 countries adopting similar data protection regulations worldwide.
(Keevee GDPR Statistics)

What recent GDPR enforcement actions have made headlines?

• TikTok – Fined €345 million in September 2024 for violating children’s privacy regulations.
• British Airways – Fined €22 million in 2020 due to a data breach affecting 400,000 customers.
  (Reuters GDPR Enforcement News)
  (Statista GDPR Fines Report)

What is PRECOGNIQ?

Our PRECOGNIQ is a data privacy compliance solution designed to automate and streamline the processing of data protection regulatory requirements such as GDPR. It automates and simplifies data subject access requests, identity verification, disclosure processes, and data lifecycle management with minimal manual intervention.

How does PRECOGNIQ help with GDPR compliance?

It automates the handling of subject access requests (SARs), data subject access requests (DSARs), subject rights requests (SRRs), ensuring businesses meet data privacy requirements (e.g. GDPR) efficiently. PRECOGNIQ enables organisations to:

• Process privacy rights requests quickly.
• Automate data e-discovery and redaction.
• Maintain compliance with minimal effort.

Who can benefit from using PRECOGNIQ?

Any organisation handling personal data can benefit, particularly businesses in:

• Financial services
• Healthcare and pharmaceuticals
• Public sector and government agencies
• Legal and insurance industries
• Retail and e-commerce

These sectors often deal with large volumes of personal data and complex regulatory requirements.

How does PRECOGNIQ automate subject rights requests (SRRs) and data subject access requests (DSARs)?

The solution provides an integrated workflow that:

• Captures requests through customisable web forms.
• Automatically retrieves relevant data across multiple systems.
• Redacts sensitive information where necessary.
• Streamlines the fulfilment process, reducing administrative workload.

Does PRECOGNIQ support compliance beyond GDPR?

Yes, while PRECOGNIQ is built for GDPR compliance, it also supports regulations such as:

• UK GDPR (post-Brexit regulations)
• California Consumer Privacy Act (CCPA)
• Other global privacy laws (such as India’s DPDP Act, Singapore’s PDPA, and Brazil’s LGPD)

What types of privacy requests can PRECOGNIQ manage?

Our solution supports various privacy requests, including:

• Right to access – Providing individuals with their stored data.
• Right to be forgotten – Erasing personal data upon request.
• Data portability – Allowing users to transfer their data.
• Right to rectification – Updating or correcting personal data.
• Objection to processing – Managing requests to restrict data use.

How does PRECOGNIQ enhance data security?

It includes robust security features such as:

• Automated encryption for personal data.
• Access control management to limit data exposure.
• Audit trails to track data access and changes.
• Real-time breach detection to ensure GDPR’s 72-hour reporting rule compliance.

Can PRECOGNIQ help reduce GDPR compliance costs?

Yes, by automating manual processes, reducing administrative workload, and ensuring accuracy, PRECOGNIQ can significantly lower the costs associated with GDPR compliance, including potential fines for non-compliance.

How does PRECOGNIQ handle data discovery and redaction?

The solution:

• Automatically scans company systems for relevant data.
• Identifies personal and sensitive information.
• Redacts confidential or non-disclosable data before fulfilling a request.

How long does it take to implement PRECOGNIQ?

Implementation time varies depending on the organisation’s size and existing data infrastructure. However, PRECOGNIQ is designed for fast integration with cloud-based and on-premise systems, ensuring minimal disruption.

Is PRECOGNIQ compatible with cloud storage and enterprise systems?

Yes, PRECOGNIQ integrates seamlessly with:

• Cloud storage platforms (AWS, Azure, Google Cloud).
• Enterprise resource planning (ERP) systems.
• Customer relationship management (CRM) tools.
• HR and payroll systems.

How does PRECOGNIQ support organisations handling large-scale data?

For businesses with high volumes of data, PRECOGNIQ ensures:

• Scalability – It can handle thousands of requests efficiently.
• Automation – Reducing human intervention to meet GDPR deadlines.
• Customisation – Adapting workflows to industry-specific needs.

Can PRECOGNIQ assist with Data Protection Impact Assessments (DPIAs)?

Yes, PRECOGNIQ helps businesses conduct DPIAs by:

• Identifying data risks in processing activities.
• Documenting compliance efforts
• Providing audit-ready reports for regulatory bodies.

What happens if an organisation fails to comply with GDPR?

Failure to comply with GDPR can result in:

• Fines up to €20 million or 4% of global revenue, whichever is higher.
• Reputational damage from data breaches or non-compliance.
• Legal action from affected individuals.

PRECOGNIQ minimises these risks by ensuring businesses stay compliant.

How can we get started with PRECOGNIQ?

Organisations can contact Insightful Technology for a demo or a consultation to understand how PRECOGNIQ fits their compliance needs.