Low risk
Read-only lookups, summaries, and local drafts can often be allowed with lighter controls.
Operational security journal Deep guide June 6, 2026
Governance guide
How to govern agent actions without slowing the whole team down
The job of governance is not to make agents useless. It is to let teams keep the benefits of autonomy while putting hard limits around the actions that could harm users, data, or production systems.
AI Agent Security
Build the risk model before the controls
If the team cannot name the dangerous actions, it will not know where to place the controls. Start by listing the side effects the agent could produce, then classify each one by severity and reversibility.
Medium risk
Outbound requests, message sends, and limited writes need policy checks and logs.
High risk
Credential use, production changes, and irreversible data actions should require tighter gating.
Ambiguous risk
If the impact depends on hidden context, the action should be treated as risky until proven otherwise.
AI Agent Security
Controls should sit between intent and execution
A control model only works when it is deterministic. The model can suggest; the policy layer decides whether the action is allowed.
Argument checks
Validate all tool arguments before they reach the backend.
Identity checks
Know which user, agent, and system are involved in the request.
Data sensitivity
Sensitive data should trigger stricter rules and more logging.
Decision logging
Record not just the result, but the reason the action was allowed or denied.
AI Agent Security
Roll out governance in phases
The strongest rollout path is gradual. Start with visibility, move to soft enforcement, and only then make the policy hard enough to block risky actions by default.
Phase one is observation: log what the agent tries to do and where the requests cluster.
Phase two is warning and review: flag or queue risky requests before they execute.
Phase three is enforcement: deny requests that violate policy, even when the model is confident.
Next step
Make governance a runtime boundary, not a slide deck
VEX Protocol is meant to sit in front of real side effects so autonomous systems can stay useful without becoming uncontrollable.
Sources
References and further reading
OWASP GenAI Security
The primary risk framing for tool-rich AI systems.
NIST AI RMF
Risk management structure for AI systems.
OWASP Agentic Security
Agent-specific considerations.