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

About Krioa Security

We built Krioa Security for enterprises that want to adopt AI without accepting blind spots around model traffic, tool execution, and autonomous runtime behavior.

Why we exist

AI adoption moves faster than enterprise control systems were designed for.

Many organizations can launch AI pilots quickly, but production adoption creates harder questions: who can inspect risky prompts, who approves sensitive actions, how tool-connected workflows are mediated, and what evidence remains when something needs to be reviewed later.

Krioa Security was built to give security, platform, and governance teams a practical operating layer for those questions. The goal is not to slow AI down. The goal is to make adoption defensible.

Krioa Security is part of the 0DCyber Sagl product portfolio. 0DCyber Sagl is a Switzerland-based cyber security company focused on delivering reliable, scalable, and secure solutions for different industries, with Krioa Security carrying a dedicated focus on AI security.

Mission Help enterprises secure AI where real execution risk appears.
Focus LLM traffic, MCP tool mediation, and agent runtime governance.
Approach Operational control without breaking the delivery path.
What we build

A security platform designed around live AI operations, not just policy documents.

LLM Security Gateway

Inspect prompts and responses before model output reaches users.

Apply security policy and review logic directly in the path of model traffic.

MCP Proxy

Mediate tool-connected workflows before downstream systems are touched.

Keep protocol-connected actions on a governed path instead of exposing tools directly.

Secure Agentic AI Runtime

Control tool use, delegation, limits, and approval paths during execution.

Support safer agent adoption with runtime boundaries and durable action history.

How we think

Enterprise AI security needs enforceable operating controls.

We believe the strongest AI security posture comes from combining inspection, approval, grounding, and auditability into the same operating surface. That means security should be close to execution, not only documented in separate governance processes.

  • Human approval should exist where automation creates real downstream risk
  • Trusted knowledge should be available when unsupported answers are unacceptable
  • Runtime evidence should remain available for investigation, audit, and review
Control Govern live AI activity with enforceable review and policy decisions.
Clarity Give operators a more understandable record of prompts, tools, and actions.
Confidence Move from experimentation to rollout with stronger operational evidence.
Talk to Krioa Security

See how the platform fits into your AI rollout and governance model.

Explore the product, review the control surface, or continue into the application login.