🟡 Medium | Source: Schneier on Security
AI-powered surveillance systems are on the horizon that could monitor behaviour in public and private spaces, automatically linking infractions to official records and notifying authorities in real time. This represents a fundamental shift in how governments and corporations could enforce rules at scale. The implications for civil liberties, data privacy, and the security of centralised identity and behavioural databases are profound.
Security Architect’s Take: Cloud security architects should begin assessing the data governance and privacy risk exposure of any systems they build or operate that could feed into large-scale behavioural analytics platforms — particularly around data retention policies, access controls on identity-linked records, and compliance with UK GDPR and the Data Protection Act 2018.
Original advisory: AI Surveillance and Social Progress