Posts tagged “Policy Enforcement”

The European Parliament voted to extend EU AI Act deadlines for high-risk systems. The underlying requirements haven't changed. Here's how to re-sequence your compliance program without losing momentum.

AI agent governance enforces organizational rules on autonomous AI systems that take actions on your behalf. Learn why it matters, what's missing from current approaches, and how to get started.

AI security researchers tested agents in a simulated corporate environment. Agents published passwords publicly, disabled antivirus, and persuaded each other to justify unsafe actions. Every failure was preventable with controls that should have been in place.

A compliance automation platform allegedly fabricated SOC 2, ISO 27001, and HIPAA reports for hundreds of clients. The scandal reveals a structural flaw: the industry treats compliance as a document to produce, not a state to maintain.

Microsoft's Agent 365 solves agent visibility. Palo Alto's contextual red teaming solves vulnerability discovery. Neither solves organizational policy enforcement — the layer regulated industries need most.

LLM guardrails solve one layer of governance — filtering prompts and responses. But organizations face five critical gaps: multi-surface enforcement, stateful agent governance, organization-specific rules, graduated enforcement, and compliance evidence.

AI agents don't just generate text — they take actions, access systems, and make decisions. Governing them requires more than output filters. Here's what real agent governance looks like in practice: tool-level access control, session-aware policy evaluation, human approval gates, and full decision chain auditability.

AI agents are taking actions — calling APIs, sending emails, accessing data, making decisions. Before any of that happens, these five policies should be in place. Concrete rules, real examples, and the reasoning behind each one.