AI Runtime Security

The AI Action Firewall

Control what AI is allowed to do. Every AI request passes through SAILLENT before it reaches models, APIs, tools, or sensitive data.

AI Ecosystems We Secure

How the AI Action Firewall Works

Every AI action is intercepted, inspected, evaluated, and enforced before execution.

Every AI request passes through SAILLENT before reaching models, APIs, MCP tools, or enterprise systems.

Analyze prompts, responses, tool calls, identities, metadata, and execution context in real time.

Apply zero-trust policies to determine whether the requested action is permitted based on risk and identity.

Allow, modify, or block actions before they reach downstream systems, ensuring policy compliance.

Prevent prompt injection, data leakage, and unauthorized tool execution during runtime automatically.

Record every decision with complete security evidence for investigation, compliance, and incident response.

Inspect, evaluate, and enforce security policies on every AI action before it reaches models, tools, APIs, or enterprise data.

Inspect prompts, responses, tool calls, identities, metadata, and execution context before every AI action is executed.

Evaluate every AI action against zero-trust policies and enforce allow, modify, or block decisions before execution.

Protect sensitive data through automatic detection and redaction while blocking prompt injection and unauthorized tool execution.

Record every security decision with identities, timestamps, policy evaluations, and enforcement outcomes for investigation and compliance.

Every AI action is evaluated, enforced, and recorded as it happens.

Security Decisions Stream

Live

Time	Agent	Action	Decision	Reason
10:42:15	Customer Support Bot	MCP: execute_sql	Blocked	Unauthorized Tool
10:42:18	Finance Agent	Send Prompt	Allowed	Policy Passed
10:42:26	HR Assistant	Upload File	Allowed w/ Redaction	PII Detected
10:42:31	Research Agent	MCP: read_documents	Allowed	Authorized
10:42:39	Coding Agent	Prompt	Blocked	Prompt Injection