Solutions
AI security & governance
Consider risk, oversight and operational control as part of the architecture.
A practical path
Define the target and threat scope. Select adversarial and benign scenarios so false positives are evaluated alongside failures.
Use Scan Lab to collect coverage and findings. Translate reviewed evidence into a policy with an explicit owner and revision.
Evaluate Guard at the chosen runtime boundary, measuring latency, masking, failure behavior and decision records before rollout.
Before implementation
Reference architecture, not a customer case study. Product availability, integration versions, data boundary and success criteria are agreed for each deployment.
What to verify
- A named owner and an explicit permission boundary
- A reproducible success and failure scenario
- An inspectable outcome, with recovery and support ownership
Products in this solution
AI security & reasoning
Pyrodit Scan Lab
Evaluate how AI systems respond to attacks, solve tasks and handle feedback—with traceable evidence.
AI runtime security
Pyrodit Guard
Define which AI requests and tool actions are allowed, which need review and how sensitive data should be handled.
Enterprise agent orchestration
Pyrodit Agentic Runtime
Coordinate long-running work, specialist agents and business rules in one workflow that preserves its state and explains its outcome.