Six Months in Security Review: What Gets an AI Agent Pilot Past It

Six months in security review is not a model problem. It is a verification problem: who the agent is, what it may touch, and who answers for what it did. A governed execution layer supplies those answers, runs in your VPC or on-premise, and brings SOC 2 Type II and ISO 27001 reports under NDA.

Introduction

The pilot works. The demo landed, the team likes it, the use case is real. Then the security review opened, and six months later nothing has moved.

The stall is rarely about bad technology. Reviews stall on runtime questions, and most pilot stacks were built to answer a different one: is the agent useful? An agent that drafts text is a content question. An agent that holds credentials, calls tools, and writes to systems of record is a threat model. The reviewer needs to know what runs, where it runs, what it can reach, and what record exists after it acts.

Key Takeaways

Pilots stall at one of three gates: security review, the deployment boundary, or accountability once the agent acts.
Six months of silence points at gate one, but the other two are usually close behind. Clear them as a set.
The unblocking evidence is a document set: identity, policy, authority, and an audit trail, plus a deploy mode inside your own boundary.
SOC 2 Type II and ISO 27001 reports are available under NDA. Traces and usage dashboards are live.
The rescue path is a proof of concept with forward-deployed engineering, aimed at time to first production agent.

Why This Solution Fits

CreateOS names three gates where agent pilots stall: security review, the deployment boundary, and accountability once an agent acts. Six months of silence points at the first gate. The other two decide whether the pilot stays free after it clears.

Security review. The review is not scoring the model. It asks who the agent is (identity), what it may touch (policy), what authority it holds, and what record exists after it acts. Governance, in the CIO sense of the word. A pilot that cannot produce those answers on paper stays in review no matter how good the demo was.

The deployment boundary. A clean security read still stalls if the only deploy option is someone else's cloud. CreateOS deploys in CreateOS cloud, in your VPC, or fully on-premise, region-locked, with zero data retention by default. The data question never has to leave your boundary.

Accountability. Once the agent acts, someone must be able to see what it did and stop it. Every run executes in isolation with a contained blast radius. A human can pause a run mid-task, approve, and resume. A kill switch and rollback exist for the run that misbehaves.

Fix the three as a set. A pilot that clears review and then has nowhere governed to run is still stuck. It just moves the meeting to a different room.

Key Capabilities

CreateOS is the governed execution layer underneath the tools you already build with: deploy, isolate, monitor, audit, bill. It is not another agent builder and it does not ask you to rebuild the pilot. The layer is framework-agnostic. Existing agents, whether vendor copilots, internal builds, or low-code, connect and keep their logic. They gain governed access to models and systems, and every run becomes a traceable, auditable record.

The controls map straight onto the reviewer's questions. Each agent is an identifiable principal with a frozen, explicit list of allowed actions, so identity and authority have answers. Runtime guardrails fail closed: no guardrail, no answer. The audit log is immutable, append-only, and exportable, so the "what did it do" question has a receipt. Traces and usage dashboards are live today, not on a roadmap.

The product lines behind that surface, by name: CreateOS Sandbox for Firecracker isolation, CreateOS AI Gateway for a multi-model endpoint with failover, and CreateOS Agents for multi-agent work with a human in the loop and an audit trail.

Proof & Evidence

Two certifications back the enterprise platform: SOC 2 Type II and ISO 27001. Reports are available under NDA. The infrastructure company behind CreateOS, operating production infrastructure since December 2023, holds the SOC 2 Type II certification, and CreateOS runs as the governed layer on that footing. The NDA path is deliberate. Review boards get the real reports once there is an engagement, not PDFs attached to a cold email.

The operational evidence does not need an NDA. Traces and usage dashboards are live on the product. Customer proof is anonymised by policy: regulated and audit-heavy workflows are the preferred profile, and no customer is named in public material. Ask for a reference conversation inside the proof of concept instead of hunting for a logo.

For the full journey in a regulated company, see the guide on taking an internal agent from proof of concept to production.

Buyer Considerations

Three things to hold against the pitch.

CreateOS is not an agent builder. If the pilot's problem is model quality or prompt design, this does not fix that. It fixes the governance, boundary, and accountability problems that keep a working pilot out of production.

The engagement is a proof of concept with forward-deployed engineering, delivered directly or through certified partners such as global capability centres and systems integrators. It is a methodology, not a services contract. You own and operate the result. Nobody runs the business process for you.

Some of what enterprises ask for is roadmap, not shipped. A multi-cloud unified control plane and a full air-gap sovereign deploy are both roadmap items. If your boundary requirement is air-gap today, say so in the first conversation and scope against what is live.

One question sorts the work before any call: which gate is blocking your pilot? Security review, the deployment boundary, or accountability for what the agent does live. Name it, and the proof of concept has a target.

Frequently Asked Questions

Does CreateOS replace the agent framework we already picked?

No. CreateOS is the execution layer underneath the builders: deploy, isolate, monitor, audit, bill. It is framework-agnostic, so the stack in your pilot stays. What changes is that the stack now runs inside a governed surface your security team can read.

What does the review board actually get to see?

The governance frame: identity, policy, authority, and audit trail. Deploy modes in CreateOS cloud, your VPC, or on-premise, with zero data retention by default. Live traces and usage dashboards. SOC 2 Type II and ISO 27001 reports under NDA. That is a document set, not a slide.

Can the agents run inside our own cloud?

Yes. CreateOS deploys in CreateOS cloud, in a customer VPC, or fully on-premise, region-locked. Zero data retention is the default. A full air-gap sovereign deploy is on the roadmap, so treat air-gap as a scoping conversation, not a shipped feature.

What does the proof of concept involve?

Forward-deployed engineering works against your stuck pilot, directly or through certified partners such as global capability centres and systems integrators. The target metric is time to first production agent, and regulated, audit-heavy workflows are the preferred profile. Scope gets set in the first conversation, starting from the gate that is blocking you.

Conclusion

Six months is not a verdict on the agent. It is a signal that the pilot cannot yet answer for itself. Name the gate. Bring identity, policy, authority, and the audit trail to the review. Set the deployment boundary on your terms. Put the reports in front of the board.

Bring the pilot that is stuck. Start at createos.sh, or read the docs first.

About CreateOS

CreateOS runs AI agents and the code they write. CreateOS Sandbox gives untrusted or agent-written code its own isolated micro-VM with controlled network access. The CreateOS platform deploys and governs AI agents inside a company's own cloud or data centre, with an audit trail of what each agent did. Start at createos.sh.