Turn AI policy into evidence of enforcement.
Kynexa helps risk and compliance teams define controls for data, models, tools, agents, memory and outputs, then capture structured evidence of what happened and why.
- Policies without runtime enforcement
- Evidence scattered across apps
- Manual, slow reviews
Principles and policies are not enough.
AI governance programs often document acceptable use, risk tiers, model approvals, human oversight and record-keeping requirements without a consistent runtime enforcement layer. When evidence is scattered across applications, reviews become manual and control effectiveness is difficult to prove.
What risk and compliance teams get
Policy mapped to runtime decisions
Translate requirements into controls for retrieval, model use, tool access, memory, outputs and high-impact actions.
Approval and exception workflows
Require accountable human review where policy, risk tier or action impact demands it.
Complete AI activity traces
See initiating identity, data accessed, policy applied, model used, tool called, memory touched, output generated and decision reason.
Accurate framework mapping
Map controls and evidence to relevant obligations while preserving monitored, aligned and roadmap status.
What changes for you
- What you can control
- Policy mapped to runtime decisions and approvals.
- What you can prove
- Complete, structured traces of every AI action.
- What changes operationally
- Reviews use evidence, not manual reconstruction.
- Primary stakeholders
- AI risk, compliance, internal audit.
- Evidence produced
- Exportable structured evidence for regulators.
See Kynexa govern your AI — in 30 minutes.
Bring a real use case. We'll set up governed retrieval, reasoning and audit on your stack.