Built for enterprises that need AI adoption without governance blind spots.

LLM Security Gateway for Enterprise AI Security

Proxy prompts and responses through a policy-enforced inspection layer before traffic reaches the model or returns to the user.

What it supports

Put security controls directly in the path of live LLM traffic.

The gateway is designed for teams that need more than model access. It gives enterprises a place to inspect prompts, evaluate responses, apply policy, and stop unsafe traffic before it reaches customers or internal users.

  • Inspect prompts and responses before model execution completes
  • Apply security modules and risk-based policy outcomes
  • Support safer internal assistants and customer-facing AI applications
Illustration of governed AI traffic moving through policy checks into an approved runtime path
Core capabilities

What teams use the gateway to control

Prompt and response control

Inspect model traffic before unsafe content becomes a business problem.

Use an enforcement layer instead of relying on model behavior alone.

Human review

Escalate high-risk cases when automated handling is not enough.

Preserve approval paths for sensitive prompts, outputs, and decisions.

Grounded answers

Support evidence-backed responses with approved internal knowledge.

Use trusted documents when unsupported model output is unacceptable.

Explore Krioa Security

See how the gateway fits into your AI operating model.

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