Discovery & Baseline
Comprehensive audit of existing systems, data infrastructure, and AI readiness.
Automating data subject rights, consent management, and data breach notification workflows.
Integrating PETs like differential privacy and homomorphic encryption into AI systems.
Ensuring explainability and auditability of AI decision-making processes.
AI-assisted processing and redaction of FOI requests to meet statutory deadlines.
Implementing ethical guidelines and impact assessments for responsible AI deployment.
AI-driven threat detection and response for enhanced data security.
Proactive identification of non-compliance and automated evidence gathering.
Supporting secure innovation through controlled environments and regulatory guidance.
Automating data retention, archival, and disposition in compliance with regulations.
Ensuring compliance with international transfer mechanisms and adequacy decisions.
Facilitating responsible sharing of public sector data for societal benefit.
Establishing governance for the use of biometric data and surveillance technologies.
Implementing AI to streamline Subject Access Requests (SARs) and deletion requests, reducing manual effort by 70%.
Embedding privacy controls into AI system design from inception, leading to 90% reduction in privacy incidents.
Achieving ISO/IEC 27001 and NCSC Cloud Security Principles for AI systems, ensuring verifiable trust.
Reducing the average FOI response time by 50% through intelligent document analysis and redaction.
Establishing a robust ethical AI review board and impact assessment process, integrating human-in-the-loop oversight.
Continuous, real-time monitoring of AI systems against GDPR and DPA 2018, flagging 95% of non-compliance instantly.
Deploying advanced cryptographic techniques to protect sensitive data used in AI training and inference.
Creating sandboxed environments for AI development that enforce regulatory compliance automatically.
Automated data classification, lineage tracking, and access control for GDPR compliance.
End-to-end auditability of AI models, including bias detection and fairness metrics.
Tools for integrating privacy-enhancing technologies and differential privacy techniques.
AI-powered content redaction for Freedom of Information requests and data disclosures.
Frameworks for ethical AI impact assessments and continuous ethical monitoring.
AI-driven anomaly detection and incident response for data security breaches.
Comprehensive audit of existing systems, data infrastructure, and AI readiness.
Tailored AI governance frameworks, risk assessment, and ethical guidelines.
Deployment of DEFONEOS components in a controlled pilot environment, validating integration.
Full-scale deployment, performance optimization, and continuous monitoring for operational excellence.
Ongoing audit, compliance reporting, and DEFONEOS-SEAL certification maintenance.