Stop risky AI interactions before they reach the next system.
The Runtime Engine sits in the protected traffic path. For supported interactions, it can inspect, modify, allow or block before the request completes.
Protection outside the agent.
A system prompt is not a security boundary.
Enforcement has to live at a layer the agent’s own reasoning cannot override. HikmaAI does that at the traffic boundary, inside your infrastructure.
Runtime security controls
Risky interaction
A protected agent attempts to send sensitive data to an unapproved endpoint.
Protection
PII and egress policy can redact or block the request before it completes.
Evidence
The runtime record shows what was evaluated, which policy applied and the outcome.
AI Firewall
Inspect requests and responses and block dangerous content or behavior before it reaches the next system.
Guardrails
Keep protected agent behavior inside the boundaries you declared, on both input and output.
PII Redaction
Mask personal and sensitive data before it leaves the protected environment.
Secret injection
Keep real credentials out of the agent and inject them only at the controlled egress point.
Tool allow-list
Restrict each agent to the tools it is explicitly allowed to call.
Egress allow-list
Default-deny outbound access so agents reach approved endpoints and nothing else.
Contain the blast radius.
When an agent is manipulated or simply goes off-script, the goal is not only to detect it. The goal is to stop the action, limit what the agent can reach, and preserve the evidence of what happened.
Built for production.
- LOC IN AGENTS
- 0
- SDK REQUIRED
- No
- BY DESIGN
- SELF-HOSTED
- ENFORCED INLINE
- PROTECTED TRAFFIC
The same runtime, now in coding-agent environments.
HikmaEdge extends inspection and enforcement to supported coding-agent traffic, so protected developer workflows can follow centrally managed policy.
Explore HikmaEdgeSee how HikmaAI blocks or changes a risky protected interaction before it reaches the next system.