Why it matters
- Autonomous capability must be safe before it is powerful.
- Production environments require rate limits, exclusions and human approval for sensitive tests.
- Buyers need confidence that the platform cannot drift outside authorised use.
Safety Controls
Control automation depth, tool trust, scope, approval and execution limits for offensive workflows.
Evidence traceApproved scopeTarget-aware testing
Capability architecture
Autonomy remains inside explicit technical and human boundaries.
Safety controls enforce target scope, tool trust, rate and action constraints, and approval gates for sensitive execution.
ThreatCanary approach
- Enforce scope checks, intensity profiles, rate limits, testing windows and exclusion rules.
- Use approval queues for generated tools, risky tests or sensitive actions.
- Track trust levels, AI toggles, credential use and audit logs.
What it validates or reveals
- Authorised execution.
- Approval requirements.
- Actions, evidence and decisions suitable for audit.
Evidence produced
- Scope decision and blocked-action record.
- Human approval, denial and expiry history.
- Auditable execution limits and policy version.
Evaluate the capability
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