AI Security Atlas › All entries › Autonomous Agent & MCP Security
Verifiable Action Previews for Approvers
Approval requests show system-generated previews of the exact action and its effect, with forced confirmation for sensitive actions.
Open in the interactive atlas →Impact
Makes human oversight meaningful: reviewers judge the action, not the agent's pitch.
Why this severity
Guardrails take the highest severity of the risks they mitigate: Approvals Based on Agent-Written Summaries (Medium), Human Approval Manipulation (Medium).
Method: OWASP Risk Rating Methodology
Related
Mitigates
- Approvals Based on Agent-Written Summaries Vulnerability · Medium severity
- Human Approval Manipulation Threat · Medium severity
Needed by
- Dual-Agent Approval Loop Guardrail · Fixes high risks
Remediation
- Generate previews (diffs, recipients, amounts) from the tool layer.
- Require typed confirmation for irreversible actions.
- Cap approvals per reviewer per hour and escalate the rest.
How to verify
- Misleading-summary red-team set shows a lower approval rate after rollout.
- Sensitive actions cannot complete without forced confirmation.
Framework mapping
OWASP Top 10 for Agentic Applications 2026
- ASI09:2026 Human-Agent Trust Exploitation
MITRE ATLAS
- AML.M0029 Human In-the-Loop for AI Agent Actions
NIST AI RMF 1.0
- MEASURE 2.8 Transparency and accountability risks are examined and documented