Prevent your agents from making mistakes in real time
Enforce deterministic policies and evidence checks at runtime before agents take action
Our Product
What we do:
Agent controls
Deterministic Workflows
Define explicit workflows that enforce the required order and scope of tool calls, ensuring agents cannot skip steps or invoke unauthorized actions.
Evidence Grounding
Accumulate and reference verified evidence from prior tool calls so all future actions are grounded in observed data, not hallucinated assumptions.
Runtime Guardrails
Intercept and validate tool calls at execution time, blocking actions that violate policy or conflict with cached evidence before they execute.
Agent insights and improvement
Guided Retries
When an action is blocked, Salus returns structured feedback explaining exactly what failed and why, enabling the agent to reattempt the action with corrected context.
Full Visibility
Inspect a complete trace of agent decisions in natural language including what was blocked, why it failed, and how the agent responded.
Stress Testing (Pre-Deployment)
Generate thousands of realistic and adversarial scenarios from a small seed set to measure tool call level correctness before deployment.
Easy integration
Salus integrates directly into your existing agent stack via a lightweight SDK. Add a single decorator per tool call to enable runtime enforcement. No model changes, prompt rewrites, or refactoring required.
Teams can be up and running in minutes. We're also available 24/7 to help integrate Salus live to ensure policies and workflows are configured correctly.
Ready to secure your AI agents?
Book a 30 minute live demo with our team to learn how Salus can protect your business from costly mistakes.
Got questions? Reach out to us anytime: founders@usesalus.ai