Salus

Founded by Vedant Singh in 2026

Verify and intercept AI agent calls against policies before backend execution

Pricing model

Paid

Rating

★ Mixed Reviews

Time to value

Quick Setup (< 1 hour)

You can use Salus to verify and control consequential actions taken by AI agents before they reach your backend systems. It inspects proposed tool calls at runtime, checking them against policies and contextual evidence to catch incorrect parameters or unauthorized operations. When an agent proposes an invalid action, Salus stops execution and returns specific correction steps directly to the agent so it can self-repair. The system provides verifiable audit receipts for every decision, allowing you to deploy autonomous agents without risking unverified real-world side effects.

What Salus does

Intercept consequential tool calls before backend executionValidate agent actions against operational policiesReturn structured repair steps to agents for self-correctionGenerate decision receipts for runtime tool verificationsProtect Python backend functions with execution guardsVerify fresh contextual evidence before modifying system stateRuntime interception of agent tool calls before executionAutomated structured repair instructions returned to agentsPolicy and contextual session evidence verificationVerifiable decision receipts documenting every authorization outcomeSimple Python SDK decorator for wrapping write toolsZero modifications required for existing agent loops and backend logic