Governance & Control Framework

Security & Governance Readiness Audit

Assess your agentic AI security posture. Prompt injection resistance, PII handling, Human-in-the-Loop, and audit trail readiness. Production targets from 2026 governance frameworks.

For scaling businesses with revenue to protect. ~5 min.

Overall Readiness

0%
High Risk

Prompt Injection / Jailbreak Resistance

Target: > 99.9%

Score: 0%

Data Privacy / PII Handling

Target: 100% (Zero leakage)

Score: 0%

Policy & Governance

Target: < 0.1% violation rate

Score: 0%

Logic Transparency / Audit Trail

Target: High (Full trace)

Score: 0%

Human-in-the-Loop (HITL)

Target: Defined by risk level

Score: 0%

Recommendations

  • • Deploy agents in Docker sandbox for isolation.
  • • Implement HITL for email send, CRM write, and payment actions.
  • • Enable full trace logging before production.
  • • Run prompt injection tests before go-live.

Get Your Audit Report

Email your readiness score, dimension breakdown, and the Security Handbook. Share with your security or compliance team.

Secure Deployment

OpenClaw Consult builds hardened, self-hosted agentic systems with the Security Cage architecture. Full audit trail, zero-leakage configs.

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Frequently Asked Questions

What is prompt injection and how do I resist it?
Prompt injection is when malicious input manipulates an AI's behavior. Resist by filtering/sanitizing user inputs before agent context, using structured output and tool-calling to limit free-form response, and testing against known jailbreak patterns. Target >99.9% resistance for production.
When is Human-in-the-Loop (HITL) required?
HITL is required for high-risk actions: email send, CRM write, payment, external API calls. Define escalation paths for edge cases and allow humans to override or roll back agent actions. Risk level determines which actions need approval.
What does production-ready agent security look like?
Production-ready: PII/PHI redacted before LLM, data residency controls, audit trail for every decision, guardrails (allow/deny lists), policy violation detection. Deploy in Docker sandbox for isolation. Enable full trace logging before go-live.

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