AgentGuardian intercepts every tool call before it executes, enforces your policies at runtime, and automatically recovers from failures — without waiting for the next deploy.
By the time a failure surfaces, your users have already experienced it. AI agents need a control layer that acts before damage happens — not after.
Every tool call your agent makes goes directly to execution — unchecked. There is no layer that evaluates intent, applies policy, or requires approval before a sensitive operation runs.
Agents loop indefinitely, exceed error thresholds, or act against their stated intent with no automated response. By the time a human is paged, the damage is already in production.
Any agent can call any tool with any input. No policy layer. No approval workflow. No versioned audit trail. In a regulated industry, this isn't a monitoring gap — it's a compliance violation.
Route tool calls through the AgentGuardian gateway, or add 3 lines of SDK code using the AREP runtime. Every tool invocation is captured before it executes — no changes to your tools or prompts.
Before the tool executes, AREP evaluates your policies. ALLOW, DENY, or hold for human approval. Violations are blocked and emit a failure event — before any damage happens.
When a failure occurs at runtime, the recovery engine acts immediately — no deploy needed, no pager required. Severity determines the action automatically.
Every tool call is intercepted before it executes. ALLOW, DENY, or hold for human APPROVAL. Policies are versioned, auditable, and rollback-able in one API call. The tool never sees the request on a DENY.
AREP Gateway · Pre-executionWhen a failure is detected at runtime, the recovery engine acts immediately — no deploy, no human required. Severity determines the action: retry, reroute, quarantine, or escalate to Slack/PagerDuty.
AREP Runtime · No deploy neededRelated failures are correlated into P0–P3 incidents automatically. Full lifecycle: open → acknowledged → recovering → resolved. Causal chain links every incident to the exact tool call that triggered it.
P0–P3 severity scoringA live map of every agent-to-tool relationship in your system. Health state, active incidents, and blocked tool calls update the moment they happen — no refresh, no polling delay.
Live · Zero delayCatches the gap between what an agent said it would do and what it's actually doing — before the action completes. No predefined rules required. Detects a class of AI safety violations that rule-based systems cannot express.
AI safety · No external APIEvery incident traces back through the exact failure event to the originating tool call — with event IDs, timestamps, and agent identity at every link. One API call returns the complete chain.
Compliance-ready audit trailDefine what every agent is allowed to do. Enforce it at runtime. Audit everything.
Allowlist, denylist, rate limit, and approval gate — configurable per tool, per agent, per team.
Every policy change is versioned. Roll back to any previous version with a single API call. No downtime.
Test any policy against real tool calls before enforcing. No surprises in production.
P0 and P1 incidents push structured JSON to Slack, PagerDuty, or any webhook — instantly.
150,000 agents per Fortune 500 enterprise by 2028. Each one executing tool calls with no policy layer between them and production systems.
"Every cloud service needs an API gateway. Every AI agent deployment needs AgentGuardian — the enforcement layer that sits between your agents and the tools they can damage."
Gartner predicts 40%+ of agentic AI projects will be canceled by 2027 due to weak governance and lack of runtime risk controls. AREP is the infrastructure layer that makes AI agents safe enough to stay in production.
Gartner has already named the category: "Guardian Agents" — tools that monitor, enforce policy on, and recover other AI agents — are projected to capture 10–15% of the entire agentic AI market by 2030. AgentGuardian is the platform for that category.
Sources: Market size — Markets & Markets AI Agents Report 2025. Fortune 500 agent count & governance gap — Gartner: AI Agent Sprawl, April 2026. Guardian agents category — Gartner, June 2025. Project cancellation rate — Gartner, June 2025.
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