SAILLENTBook a DemoEvery AI request is evaluated against identity, context, risk, and security policy before execution. Make zero-trust decisions in microseconds.
Every tool call, prompt, and model request is inspected against your policies before it reaches your systems.
Make zero-trust decisions based on identity, context, and risk.
Evaluate AI actions using identity, tool, destination, risk score, and execution context before allowing them.
Determine whether every AI action should be allowed, modified, blocked, or require additional approval.
Built in Rust for memory-safe, deterministic execution. Evaluate complex policies in sub-milliseconds with zero garbage collection pauses.
Record every evaluation, policy match, and enforcement action with full context for investigation and compliance.
Control every aspect of AI interactions with granular security policies.
Control which MCP tools and APIs AI agents can access. Block unauthorized tool execution.
Verify and control access to MCP servers. Ensure only approved servers are used.
Detect and block prompt injection attacks, jailbreak attempts, and malicious instructions.
Automatically detect and redact PII, secrets, and sensitive information in prompts and responses.
Restrict AI agents to approved models only. Block access to unauthorized LLMs.
Enforce policies based on user identity, environment, risk score, and execution context.
The Policy Engine can take one of four actions for every AI request.
Request passes all policy checks and is allowed to proceed without restrictions.
Request violates security policy and is blocked before reaching downstream systems.
Request is allowed but modified (e.g., sensitive data redacted, parameters adjusted).
Request is held for human approval before execution based on risk or policy rules.
See how SAILLENT protects AI agents in real-time. Block prompt injection, prevent data leakage, and enforce zero-trust tool access.