Safety Controls

Control automation depth, tool trust, scope, approval and execution limits for offensive workflows.

Deterministic evidenceScope-aware executionAdaptive capability

Capability architecture

Safety Controls: context, validation and evidence.

This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what 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.

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.

A clear explanation of the exposure, affected assets and likely attack path.
Reproducible evidence suitable for analysts, developers and risk owners.
Prioritisation based on exploitability, business impact, sensitive data and chainability.
Owner, remediation and workflow context that can move into Jira, Slack, SIEM or reporting.

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