GOVERN

Agents You Can Trust in Production

Automatically give every agent the same fully scoped permissions, role-based policies and credential controls you already enforce for human users. Control exactly which tools an agent can call and catch anything unsafe before it reaches production, gate higher-risk actions behind human approval, and keep a complete audit trail of everything your agents do.

Book Demo

How do I make sure every agent my team deploys is safe to run in production?

Controlling a single-task agent invoked from your laptop is simple — no permission structures, no rate limits, and no blast radius past your own machine. Put agents into workflows running end-to-end in production, touching real infrastructure and credentials, and the complexity ramps up. With Komodor, it doesn’t matter whether the agent was built from scratch, imported, or deployed from the catalog — every one automatically inherits the enterprise-grade governance production agents need: RBAC, guardrails, organizational standards enforcement, and credential brokering.

Give Agents the Exact Permissions They Need

Every agent on the Komodor platform gets the same fine-grained RBAC as your human users, covering exactly who can invoke, configure, or approve what.

Roles and policies for humans and agents

One system defines who can invoke, configure, and approve what; no separate model for agents.
Per-integration, scoped access

Read vs. write, environment by environment; an agent only touches what its policy allows.
Brokered credential store

Agents get scoped, brokered access at run time and never hold an exposed key.
Effective-capabilities view

See one agent’s resolved access — roles, policies, and direct grants combined — in a single place.

Human-in-the-Loop Approval, Exactly Where Needed

Any action you flag as risky automatically routes to the right teammate for a decision, with the agent’s full reasoning and intent attached.

Configurable risk threshold

Gate on actions you mark risky, or require approval on every write; your call.
Routed to the right person

Approval requests go to the appropriate teammate automatically, not a shared inbox.
Full context attached

What the agent wants to do and why, right alongside the approve/reject decision.
Platform-wide approval queue

Every action awaiting a decision sits in one place across your whole fleet.

Enforce Organizational Standards

Set organization-wide standards, including model use, PII handling, budget ceilings, and eval coverage, so violations are caught automatically, before they ship, not after.

Allowed model versions

Reject any agent or experiment that reaches outside the approved model list.
Budget must be defined

Every workflow needs an explicit spend ceiling before it can go live.
Guardrail policy required

Every workflow needs an assigned guardrail configuration — which gates run, which rules apply — before it can go live.
Quality evaluation coverage minimums

Require a minimum sampled eval coverage before production traffic runs unattended.

A Gate on Every Boundary

A system prompt is a request, not a control, and instructions baked into an agent drift. That’s why Komodor puts a checkpoint on every boundary a run crosses, checked against your rules before the agent acts on it.

Five gates, one mechanism

Input, tool calls out, tool results in, prompts out, completions in. Configured once, enforced identically at every crossing.
Cheapest check first

Exact-match rules catch the obvious, predefined detectors catch PII and secrets, an LLM judge steps in only for what patterns can’t catch— hijacks, dangerous intent, hallucinated actions.
Four verdicts, your call

Allow and log, redact in flight, block outright, or hold for approval. An agent never decides its own consequences.
Every verdict on record

Audit every decision, what was caught per agent and per run.

Spend Budgets and Rate Limits

Cap and control spend per agent, team, or label, with limits enforced automatically, so a runaway loop or a bad tool call doesn’t lead to spiraling cost escalations.

Per-agent invocation guardrails

Runs per window, concurrency, tool-call and token limits, set via UI, API, schedule, or webhook.
Monthly spend caps

By agent, team, or label, with utilization tracked against the cap in real time.
Alert thresholds

Get notified before a budget is exhausted, not after.
Configurable exhaustion actions

Notify, block, throttle, require approval, or pause experiments automatically when a limit hits.

The Control Plane for Governing Your Fleet

A centralized control plane covers full agent inventory, run history with rollback, and complete action-level audit trails across every agent, policy, and module.

Full fleet inventory

Health, ownership, labels, and archival status for every agent.
Run history and versioning

Every run logged, skills and tools attached per agent,  with the ability to roll back a version.
Rate limits and autoscaling

Visible and adjustable right alongside the rest of the fleet’s operating state.
Full action-level audit trail

Every action taken by an agent, a policy trigger,  or a solution module, logged and attributable.

The Gap Between a Governed Fleet and a Reliable Workflow

An incident response workflow orchestrates agents across multiple steps from trigger to outcome.

Even with proper governance, your agents need to be more than just safe to be effective in enterprise. That requires workflow infrastructure that chains multiple agents in order, each step’s output feeding the next, leading to a defined, measurable outcome. Our Solution Modules – across AI SRE, Cost Optimization, and AI Software Operations – package that work end to end.

Ingest & Produce

Synthesize & Analyze

Signal Agent

Investigate

Agent A VS Agent B

Remediate

Proposer Executor

Verify

No agent needed

Notify

Out-of-the-box agent
Bring-your-own agent
VS Competing agents
Tandem agents

Ready to implement fully governed agentic operations?

Book Demo

Agents You Can Trust in Production

How do I make sure every agent my team deploys is safe to run in production?

Give Agents the Exact Permissions They Need