AI Data Security

As artificial intelligence becomes more integrated into national systems, securing the data that powers these tools is essential to ensuring public trust and system resilience. A new report outlines the risks posed by unauthorized access, data poisoning, and poor data hygiene within AI systems—especially those influencing public services and critical infrastructure. It calls for a multi-layered approach to AI data security, with strong governance, access controls, and monitoring mechanisms at every stage of the data lifecycle. Agencies are encouraged to adopt these measures proactively to safeguard decision-making integrity.