Secure AI Data for the EU AI Act

The EU AI Act is a comprehensive regulatory framework that requires organizations developing or deploying high-risk AI systems to ensure compliance with strict requirements around data governance, transparency, and security. The regulation impacts industries like healthcare, finance, law enforcement, and critical infrastructure.

Kiteworks enables compliance through robust security measures including immutable audit logs, granular access controls, strict authentication, and strong encryption. The platform’s comprehensive logging and reporting capabilities help organizations meet their obligations under Chapters 2 and 3 of the Act while maintaining secure AI data governance.

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The Challenge of Balancing Innovation With Compliance

Organizations implementing high-risk AI systems must navigate complex requirements around data governance, security, and monitoring while maintaining detailed audit logs and documentation—all while ensuring their AI development and deployment practices remain innovative and effective.

The Complex Web of Risk Management and Data Controls

Organizations must develop and maintain extensive risk management systems throughout their AI systems’ life cycle while ensuring precise data governance controls. They need to implement continuous monitoring, perform rigorous testing, maintain detailed technical documentation, and guarantee human oversight—all while addressing cybersecurity vulnerabilities and preventing bias. These demands force teams to balance innovation with strict compliance measures that affect every aspect of AI development and deployment.

Balance Documentation and Real-time Oversight

Organizations must maintain extensive documentation and monitoring systems for 10 years while simultaneously managing real-time oversight of AI operations. Companies need to keep detailed logs, implement corrective actions immediately when issues arise, and maintain constant communication with authorities. The dual pressure of maintaining historical records while actively monitoring current operations creates significant operational strain for teams managing high-risk AI systems.

Streamline Compliance While Accelerating AI Innovation

Strict Security and Access Controls Protect Data

The Kiteworks AI Data Gateway provides a secure bridge between AI systems and enterprise data repositories, ensuring that only authorized entities can access sensitive information, facilitating Chapter 2 of the EU AI Act through comprehensive technical controls. Kiteworks enforces strict governance policies, ensuring that every interaction between AI systems and enterprise data enforces authentication standards, data encryption, and secure deletion policies. The system’s sandboxed architecture isolates components and applies least-privilege access, helping organizations meet accuracy, robustness, and cybersecurity requirements.

Monitor Real Time With Robust Audit Logs

The platform automatically maintains audit logs, supporting Chapter 3 compliance through comprehensive logging and monitoring capabilities. The platform maintains detailed audit logs that track all Kiteworks platform activities, user interactions, and data access to track and report on data used for the knowledge base and who sourced it. Organizations receive immediate notifications of incidents, with real-time logging supporting swift responses. Administrative dashboards display usage metrics and compliance reporting, while documentation and reporting tools help organizations demonstrate compliance to authorities.

Frequently Asked Questions

Chapter 2 establishes core technical requirements for high-risk AI systems, including: implementing a robust risk management system throughout the system’s life cycle; ensuring high-quality training, validation and testing data sets; maintaining detailed technical documentation and audit logs; enabling appropriate human oversight; achieving suitable levels of accuracy, robustness, and cybersecurity; and providing clear user information. These requirements aim to ensure high-risk AI systems are safe, secure, and respect fundamental rights.

Under Chapter 3, deployers of high-risk AI systems must ensure proper human oversight by competent, trained personnel, monitor system operations, maintain audit logs for at least six months, and inform affected workers when deploying AI systems in the workplace. Deployers must also conduct impact assessments before deployment and notify authorities of serious incidents.

The European AI Board serves as the key advisory body, consisting of Member State representatives. It coordinates national authorities, shares technical expertise, advises on implementation, contributes to standards development, and issues recommendations on matters like codes of practice. The Board also assists with regulatory sandboxes, monitors AI trends, promotes AI literacy, and works closely with the AI Office to ensure consistent application of the Act.

Kiteworks implements comprehensive data governance through its AI Data Gateway between AI systems and enterprise data repositories, which controls access to sensitive information using zero-trust principles. The platform enforces authentication standards, encrypts data at rest and in transit, and maintains detailed audit logs of all data interactions.

Kiteworks employs a multi-layered security approach that includes sandboxed architecture, zero-trust approach, and double encryption of data between AI systems and enterprise data repositories. The platform’s isolated components and continuous monitoring help organizations identify and mitigate risks. These features support compliance with the Act’s requirements for robust risk management systems.

The platform generates comprehensive documentation through its audit logging system between AI systems and enterprise data repositories, tracking all data interactions and system changes. Organizations can easily generate compliance reports, access historical records, and demonstrate their adherence to regulations. The system maintains these records in a format that satisfies the Act’s 10-year documentation requirement.