Deploy agents to production without the security debt
You've built the agent. Now comes the hard part, permissions, compliance, runtime behavior, data handling. QuilrAI's Guardian Agent handles all of it automatically so you ship faster, not slower.
Why agent deployments stall
Every team building autonomous agents hits the same wall. The agent works. Getting it to production safely is a different problem entirely.
Permission sprawl
Writing YAML policies for every tool and API your agent calls. Tedious, error-prone, and out of date the moment you add a tool.
Compliance from scratch
SOC2, HIPAA, GDPR reviews block your launch. Security teams don't know how to review agents. Your release sits in queue.
No runtime visibility
Once deployed, you have no idea what your agent actually does in production. When something goes wrong, you're guessing.
How Guardian fixes it
One setup flow. Full governance. Your team keeps shipping.
Auto-configured governance
Describe your agent in one sentence. Guardian reads it, asks the right questions, and produces a full permission and governance spec, in minutes.
Compliance ready on deploy
Guardian outputs audit-ready documentation for SOC2, HIPAA, GDPR. Review happens before deploy, not after.
Full runtime observability
Every tool call, every data access, every model response logged and monitored. Deviations flagged in real time.
What it looks like in Guardian setup
During the CLARIFY phase, Guardian surfaces every permission decision your agent needs. You approve or restrict, Guardian builds the policy.
- Approved
Allow external API calls?
tools: send_email, webhook_post
- Approved
Allow read access to user database?
tools: query_users, read_records
- Redact both
Data sensitivity: PII [likely], Internal IP [likely]
Guardian walks you through every permission decision in a structured setup flow. You approve, restrict, or redact, Guardian enforces it at runtime.
From agent to governed production in 3 steps
No security backlog. No policy-writing marathon. Just describe and ship.
Describe your agent
One sentence to Guardian. That's it. No policy files, no config YAML.
Answer clarifying questions
Guardian asks about scope, tools, and data. You approve or reject each permission interactively.
Ship with governance
Full policy, audit trail, and runtime monitoring active from the moment your agent goes live.
Production agent security, answered
What does QuilrAI monitor for AI agents in production?
QuilrAI monitors every tool call, API request, and data access made by AI agents in production. It tracks permission usage against declared policy, detects anomalous behavior patterns, blocks violations inline at sub-50ms latency, and writes a tamper-proof log of all agent actions.
How does QuilrAI handle compliance for production AI agents?
QuilrAI auto-generates audit documentation for each agent deployment, including the Guardian setup record, permission decisions with rationale, data sensitivity classifications, and a complete runtime action log. This documentation satisfies SOC 2, HIPAA, and NIST AI RMF audit requirements.
What happens when a production AI agent violates policy?
When a production AI agent attempts a policy violation, such as accessing data outside its scope or making an unauthorized API call, QuilrAI's Guardian blocks the action inline before it completes, logs the violation with full context, and can trigger alerts to your SIEM or security team.
Your agent is built. Let Guardian handle the rest.
Full governance, compliance documentation, and runtime protection, auto-configured from a single description. No policy writing required.