Turn protected AI interactions into evidence your team can use.
The Governance Engine connects policy, runtime records, assessment findings and HikmaProve validation results so your team can show what was assessed, which control applied and what happened.
Policy that is enforced, not documented and forgotten.
Define rules per agent and evaluate them against protected activity. Governance is strongest when it is attached to the enforcement layer, not when it sits in a separate dashboard after the event.
Per-agent policy
Apply different rules to different agents based on their job, access and risk.
Budget control
Set and enforce spend boundaries per tenant, key or agent instead of discovering overruns on the invoice.
Audit trail
Record what happened, when it happened, which actor was involved and which source or policy applied.
HikmaScore™
Summarize assessment results in a score backed by the underlying findings and evidence.
Compliance is an output of security.
EU AI Act, OWASP, NIST AI RMF and other mappings are useful because they turn evidence into a format auditors and compliance teams recognize. They should not replace the underlying security controls.
From technical records to leadership answers.
How exposed are the systems we assessed?
Use assessment results and supporting evidence rather than a blanket organisation-wide health claim.
Are our controls working?
Show that a protected interaction was evaluated and an action was allowed, changed or blocked.
Can we prove what happened?
Provide a record of the assessed interaction or finding, the applicable control and the outcome.
Give security, compliance and leadership a record they can review, share and verify.