AgentGuardian checks every tool call against your policies before it executes and recovers failing agents at runtime. Your agent code stays unchanged.
@arep_agent
MCP gateway
REST API
If your agent calls tools, AREP can govern it.
Agents loop, time out, and drift from their stated intent in production. Most teams learn about it from a pager, hours later, with no way to stop the next call. Observability tells you what went wrong. It does nothing to prevent it.
A reliability layer between your agents and their tools, acting before users notice anything.
Wrap your agent with one decorator or route tool calls through the gateway. AREP captures every invocation before it executes.
Policies run before the tool does. Each call is allowed, denied, or held for human sign-off. A denied call never reaches the tool.
When a failure is detected, the recovery engine acts on the incident immediately. How serious it is picks the action, while the agent is still running.
Every tool call is checked against your policies before it runs. Anything denied never reaches the tool.
Failing agents are retried, rerouted, or isolated automatically, matched to how serious the incident is.
Related failures roll up into one prioritized incident that tells the full story of what caused it.
Every agent and tool on one live map. Health changes and blocked calls appear the moment they happen.
Actions that drift from what the agent said it would do get flagged before they complete.
A tamper-evident record of every decision, verifiable on demand when compliance asks.
Start with vetted policy packs, then extend them with rules of your own. Every decision is recorded for audit.
Curated policy packs cover the riskiest tool surfaces, so agents are governed from the first call.
Express your organization's rules and roll them out per agent, per tool, or across the whole fleet.
Run any policy in dry-run against live traffic and see what it would block before it blocks anything.
Sensitive actions wait for sign-off, and critical incidents reach your on-call in the channels you already use.
Software that supervises other AI agents is projected to take 10 to 15 percent of the agentic AI market by 2030. AgentGuardian is built for that category: the enforcement layer between agents and the systems they can damage.
Sources: Markets & Markets, 2025 · Gartner on agent sprawl, 2026 · Gartner on guardian agents, 2025 · Gartner on project cancellations, 2025
We're onboarding teams that run AI agents in production and need a policy layer they can show to compliance.
We'll reach out within 48 hours to set up your onboarding.
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