Autonomous AI agents require a reassessment of access control, auditing, and data protection, with an open orchestration layer preserving independence from individual vendors.
Security architectures must realign: agents require unique identities, strict access controls over models, data, and tools, plus central control points – otherwise uncontrollable shadow IT emerges with significant abuse potential.
While 54.5 % of German companies already use AI, regulated industries in particular lack governance structures for autonomous systems – the costs of this gap quickly exceed the costs of structured, controlled implementation.
AI agents automate firewall rule management by deriving policies from knowledge graphs, reducing complexity and attack surface while keeping humans in control.
