Solutions · Confident AI adoption

Say yes to AI,
without losing control.

Roll out copilots, coding agents, and autonomous workflows across the company, with security in the loop on every action instead of in the way of every project.

The story

2026 has two kinds of enterprises.

The ones shipping with AI, and the ones still reviewing it. The difference is rarely ambition. It is whether security has a way to say yes that does not mean surrender. Blocking AI loses the productivity and keeps the shadow usage. Allowing everything works right up until the incident. The way out is neither: approve agents fast, and govern what each one actually does.

The blocked path

Every new agent waits on a security review, because once it connects, nobody controls what it does.

Time to yesquarters
Shadow AI meanwhilegrowing
!

The open path

Teams adopt whatever works. The risk arrives unmanaged and invisible, until it is neither.

Time to yesinstant
Controlnone
THE AGEN WAY

The governed path

Approve in hours, judge every action at runtime, block only the call that crosses policy.

Time to yeshours
Controlper action
The mechanics

Approval stops being the control point.

Because every action is judged at runtime, security can say yes faster: it can stop any single action later.

THE
ADOPTION
FLYWHEEL
01 · SAY YES
Approve the agent in hours
Onboarding is a policy decision, not a quarter-long review.
02 · GOVERN
Judge every action
A verdict in under 30ms stops only the call that crosses policy.
04 · YES, FASTER
Trust compounds
Each governed rollout makes the next approval easier to give.
03 · PROVE
Show why it was safe
Evidence at action time turns every rollout into a case study.
Watch it happen

One policy, every surface, live.

The same rule enforced at the gateway, on the device, and in the browser, from one console.

one policy everywhere · live product scene
Who it serves

One motion, three winners.

For the CISO
Yes becomes safe to say
Every approval is backed by runtime control and per-action evidence. Adoption stops being a leap of faith.
For IT and platform teams
One console, not ten point tools
Agents, connectors, policies, and evidence in one place, on the stack you already run.
For the business
AI at full speed
Copilots and autonomous workflows ship at the pace the roadmap wants, with governance built in.
From the field · Cisco
My team had a simple goal: make our data accessible securely via MCP to as many use cases as possible, and the Frontegg team has made it possible.
CIVP of Engineering · CiscoIn production
External MCPSecurity telemetry + identity signalsGoverned internal + external use cases
Outcome Full customer-facing MCP integration within one week.
FAQ

Questions, answered.

How is this different from blocking risky tools?
Blocking works at the tool level and kills productivity with the risk. Agen.co works at the action level: the tool stays, the bad action stops.
What changes for employees?
Nothing. Teams keep their tools and workflows. Governance rides along invisibly until an action crosses policy.
How fast can we onboard a new agent?
Typically hours. Register the agent, assign an owner, apply a policy. The runtime takes it from there.
Where do we start?
Most teams start with discovery to see what is already running, then turn on governance for the highest-risk paths first.

Unblock the AI roadmap.

Adoption at full speed, with control you can prove.