For AI agents where mistakes are expensive.
From trading agents to clinical assistants, Mitrity keeps agents that do important work within bounds. Pick your industry below, or go straight to the problem you need to solve.
Trading and analysis agents that stay within limits
Agents that size trades and handle customer data work at machine speed, under risk limits and privacy law. Mitrity enforces both just as fast, before an order or a query goes through.
Clinical assistants with minimum-necessary access
“Minimum necessary” should be enforced on every query, not just promised in a policy PDF. Mitrity checks each record access against the scope you declared for the agent, in real time.
Infrastructure automation with a hard stop
Cost optimizers, incident responders and provisioning bots have real power over production. Mitrity gives them room to work, and stops them the moment their behavior moves away from the baseline.
One governance layer across every agent
When agents work together, actions that look harmless on their own can add up to data being moved. Mitrity looks across all your agents at once, with one policy model for every framework.
Or start from the problem you need to solve.
Approve agents before they run
Every agent has a lifecycle status, signed-off reviews and regular re-reviews. An approval gate can refuse the actions of any agent nobody approved.
Governance Lifecycle →Show EU AI Act and NIST AI RMF readiness
See where you stand against the EU AI Act, NIST AI RMF, ISO/IEC 42001 and 27001, GDPR, SOC 2, the OWASP LLM Top 10 and MITRE ATLAS, control by control. It's worked out from your governance record, and every gap is named. Your SOC 2, GDPR and ISO 27001 reports come from the same record.
Compliance Frameworks →Red-team your agents
Run controlled attacks against your LLM routes and agent endpoints. Findings are mapped to the OWASP LLM Top 10 and MITRE ATLAS.
Red Teaming →Scan models before your agents load them
Find unsafe pickles, hidden instructions and remote code without running anything, and check hosted models against your policies.
Model Scanning →Stop prompt injection
Three layers of screening catch attempts to override instructions, hijack the agent's persona or hide text in encodings, before any of it reaches the agent.
Injection Detection →Manage AI agent credentials
Swap long-lived API keys for short leases that are issued when needed, expire within minutes and only go to agents with a grant.
Credential Broker →Control privilege escalation
Every handoff from one agent to another is mapped and limited. Access can only shrink further down the chain, and you can limit depth, loops and fan-out.
Delegation Governance →Inventory your agents
A live bill of materials for every agent, tool, model, credential and connector, always up to date.
AIBOM →Govern SaaS-embedded AI agents
See and assess the agents running inside Microsoft 365, Salesforce, GitHub and Snowflake. It's AI-SPM for the agents you didn't deploy.
SaaS-embedded agents →Try it with your own agents.
Start free, set it up in minutes, and see your agents' actions in the decision stream today.