AI Runtime Security for Agents and LLM Traffic: 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 HikmaEdgeFrequently asked questions
What does Fix It do in production?
Fix It places the Intelligent Gateway in the traffic path and inspects requests and responses in real time. It can allow, redact or block traffic before unsafe behavior reaches a model, tool, API or user.
What threats can it block?
Fix It supports prompt-injection detection, PII and sensitive-data redaction, data-leakage prevention, tool containment and allow-listing, egress controls, and blocking agent behavior that breaches policy. HikmaAI provides 20+ live controls across the runtime layer.
Does HikmaAI store our prompts and conversations?
HikmaAI is self-hosted first and runs inside your infrastructure, so production prompts, model traffic and sensitive data do not need to leave your perimeter, including in fully air-gapped deployments.
Can it protect MCP traffic?
Yes. HikmaAI covers agent-to-MCP traffic, MCP servers and tools, including containment of an MCP server's blast radius and inspection at the gateway boundary.
Can it stop runaway AI spend?
Yes. Governance includes per-agent, per-tenant and per-key budget controls, including a runtime spend circuit breaker, so limits are enforced before a runaway loop shows up on the invoice.
Will it break our existing AI stack?
No. HikmaAI is infrastructure- and model-agnostic: existing AI systems stay unchanged, and protection begins when traffic is routed through the gateway. No agent SDK or code rewrite is required.
See how HikmaAI blocks or changes a risky protected interaction before it reaches the next system.