
SAILLENTBook a DemoDefine, version, and manage security policies as code. Integrate with your existing Git workflows for peer review, automated validation, and instant rollback.
From code to production in four simple steps
Bring software engineering discipline to your AI security policies.
Store AI security policies in Git repositories with complete history, ownership, and change tracking.
Require security reviews before policies affect production AI systems.
Promote policies across development, staging, and production environments.
Instantly revert policy changes when unexpected behavior occurs.
Track who changed policies, what changed, and when enforcement rules were updated.
Define exactly how AI agents interact with your systems and data.
Control which agents can access specific tools and systems.
Define which MCP servers and tools agents are allowed to execute.
Prevent sensitive information from being exposed during AI interactions.
Apply stronger controls based on identity, context, and risk level.
Simple YAML syntax for powerful security rules
See how SAILLENT protects AI agents in real-time. Block prompt injection, prevent data leakage, and enforce zero-trust tool access.