Alberta reviewed 466 million lines of government code in 20 hours using Claude and fixed vulnerabilities that would have taken conventional methods 6.5 years to address.
Organizations must fundamentally adapt their security policies to AI system autonomy and establish differentiated governance controls for each maturity stage (Assistant, Agent, Operator).
AI agents require dynamic identities, short-lived secrets, and gradually reduced privileges instead of static access rights to ensure security and auditability.
AI agents require a rethinking of Zero-Trust strategies because classical onboarding processes do not work for short-lived, autonomous systems and have already led to database losses.
AI accelerates software development but simultaneously eliminates traditional security checkpoints, potentially resulting in poorly protected applications.
SAP environments require structured patch management, privilege minimization, threat detection, and documented access control to systematically address typical vulnerabilities.
