Put agents in production — without losing control.
Agents that execute workflows and call tools create risk on every step and every hand-off. Kynexa evaluates each one, so autonomy never means exposure.
The problem
Autonomous and multi-agent systems retrieve data, call tools and pass results between agents. Each action is a chance to over-retrieve, escalate privilege or leak one agent's data into another's reasoning and most teams have no step-level control or record. It's why a large share of enterprises are expected to pull agents back out of production.
How enforcement changes the workflow
Without governance
- Agents over-retrieve and escalate privilege
- One agent's data leaks into another's reasoning
- No step-level control or record
Kynexa enforces
- Evaluate every step: retrieval, tool call, hand-off, output
- Minimize data on each inter-agent exchange
- Require approval for high-impact actions
With Kynexa
- Consistent policy gates on every step
- No cross-agent leakage
- Complete trace of what each agent accessed and shared
Audit evidenceRecords initiating identity, data accessed, policy, model, tool, memory, output and decision reason for each step.
What you get
Per-step policy gates
Across retrieval, tools, hand-offs and outputs.
Data minimization on every inter-agent exchange
So one agent's data can't leak into another's.
Step-level and outcome-level evaluation
Grounded and lineage-aware.
A complete audit trail
Of what each agent accessed and shared.
Outcome
Agent systems with consistent policy gates, data minimization, and audit evidence for production review.
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.