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POLICY DECISION ENGINE

Runtime Policy Engine

Every AI request is evaluated against identity, context, risk, and security policy before execution. Make zero-trust decisions in microseconds.

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Evaluating AI Actions in Real Time

Every tool call, prompt, and model request is inspected against your policies before it reaches your systems.

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What the Engine Enforces

Make zero-trust decisions based on identity, context, and risk.

Context-Aware Decisions

Evaluate AI actions using identity, tool, destination, risk score, and execution context before allowing them.

Zero-Trust Authorization

Determine whether every AI action should be allowed, modified, blocked, or require additional approval.

High-Performance Execution

Built in Rust for memory-safe, deterministic execution. Evaluate complex policies in sub-milliseconds with zero garbage collection pauses.

Complete Decision Logging

Record every evaluation, policy match, and enforcement action with full context for investigation and compliance.

What Policies Can Be Enforced?

Control every aspect of AI interactions with granular security policies.

Tool Authorization

Control which MCP tools and APIs AI agents can access. Block unauthorized tool execution.

MCP Server Authorization

Verify and control access to MCP servers. Ensure only approved servers are used.

Prompt Security

Detect and block prompt injection attacks, jailbreak attempts, and malicious instructions.

Sensitive Data Protection

Automatically detect and redact PII, secrets, and sensitive information in prompts and responses.

Approved Models

Restrict AI agents to approved models only. Block access to unauthorized LLMs.

Context-Aware Access

Enforce policies based on user identity, environment, risk score, and execution context.

Enforcement Outcomes

The Policy Engine can take one of four actions for every AI request.

Allow

Request passes all policy checks and is allowed to proceed without restrictions.

Deny

Request violates security policy and is blocked before reaching downstream systems.

Allow with Obligations

Request is allowed but modified (e.g., sensitive data redacted, parameters adjusted).

Require Approval

Request is held for human approval before execution based on risk or policy rules.

Get Started Today

Ready to Secure Your AI?

See how SAILLENT protects AI agents in real-time. Block prompt injection, prevent data leakage, and enforce zero-trust tool access.

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TRUST & COMPLIANCE

Built for the frameworks your auditors care about

SAILLENT produces the cryptographic, exportable evidence regulated teams need — across the US, Canada, and Europe. Explore compliance tooling →

SOC 2 Type II
DESIGNED FOR
Trust Services Criteria controls
ISO 27001:2022
DESIGNED FOR
Information security controls
GDPR
CAPABILITIES FOR
EU data protection requirements
HIPAA
CAPABILITIES FOR
Healthcare privacy controls
NIST AI RMF
ALIGNED WITH
AI risk management framework
ISO/IEC 42001
ALIGNED WITH
AI management systems
OSFI E-23
RELEVANT TO
Financial AI oversight requirements
SR 11-7
RELEVANT TO
Model risk management requirements

Capability claims only — formal certifications & attestations in progress · Technical evidence available under NDA

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