Govern what your engineers' AI is allowed to do.
Inventory every agent skill in your engineering org. Approve before it runs. Audit every invocation. Revoke across the fleet in one action.
The exposure your security team is about to inherit
Engineering adopted Claude Code, Cursor, an internal copilot — maybe all three. The agents got the developer permission set. Shell access. GitHub write. Cloud credentials. Production API tokens.
Nobody decided to give the AI prod access. The AI inherited it from the engineer running it. Every skill in your engineers' agent context is now a piece of infrastructure code with prod-level reach — and almost none of it has been through review.
A shared skill with a prompt injection flaw. Adopted by 40 agents. 500 invocations a day. Running for six months before anyone finds it. That isn't a hypothetical incident. That's the steady-state risk profile of an engineering org that adopted AI agents and didn't add the governance layer.
Your CISO doesn't let engineers push unreviewed code to production. Right now, your agents are executing skills that were never reviewed, can't be audited, and can't be recalled.
Shadow agents are the new shadow IT
You've spent five years getting shadow IT under control. SaaS inventory. SSO enforcement. DLP. Endpoint posture. You know what's running.
Agent skills are the new shadow IT — and they're proliferating faster than any SaaS adoption you've fought.
A skill is a file. An engineer drops it on their machine. Their AI loads it on the next run. The skill can contain instructions to call APIs, write files, run shell commands, deploy code, query databases. It can have prompt injection embedded in it. It can be a copy of a peer's skill with two lines changed. None of it goes through review. None of it is inventoried. None of it can be revoked.
If a malicious or buggy skill enters the fleet — through copy-paste, through a public registry, through a compromised endpoint — it spreads at the speed of engineers helping each other.
You can't defend a surface you can't see.
What security teams actually need
Three properties. In order.
Inventory
Know what skills exist across your engineering org, what they do, who wrote them, where they're running. Without inventory, there's no defensible posture.
Approval
Skills that touch sensitive systems — auth, billing, PII, prod infrastructure — should not enter the fleet without security review. Skills that touch low-risk systems can move faster, but every one of them has a known owner.
Revocation
When a skill is found to be flawed, you remove it across every machine in the fleet immediately. Not “send an email asking engineers to delete it.” Removed.
These three properties are not optional. They are the minimum for defending an agent-enabled engineering org. Most companies have zero of them today.
What Invoked does for your security team
Invoked operates as the governance layer between your engineers and their agents. Three layers of enforcement.
Authoring
Skills enter the system through an authoring path your team controls. The studio enforces structural and metadata requirements at the moment of publish — every skill has an owner, a scope, and a declared capability surface before it can reach approval.
Governance
Three layers of enforcement on every skill before it reaches the Enterprise layer.
- Structural — the skill is well-formed and parseable. No malformed instructions, no missing metadata.
- Evaluative — the skill passes the security team's automated checks. Prompt injection patterns. Capability declarations matching actual capability. Test coverage.
- Organizational — the right approvers have signed off. Security, legal, and domain owners as required by the skill's declared scope. No skill that touches auth, billing, or PII enters the fleet without explicit security sign-off.
Nothing reaches your engineers' machines until all three clear.
Consumption
Every skill invocation is logged with the full thinking trajectory — which skill, which version, which agent, which user, which approver chain, which tool calls were produced, what they touched. When the question comes — from an auditor, from regulators, from incident review — the chain of custody is already there.
Revocation at fleet speed
When a flawed skill is identified, Invoked revokes it across every agent in the fleet in one action. The skill is removed from the Enterprise layer. The override is enforced on every engineer's machine. The next agent run no longer sees it.
You don't send a Slack message asking engineers to remove the skill. You don't wait for endpoint scan cycles. The skill stops working — immediately, everywhere.
This is the property your security team can't get any other way. It's the difference between “we discovered a problem” and “we contained a problem.”
What every skill carries
When the question comes — from your auditor, your regulator, your incident review — the answer is already in the record.
Start with a free exposure scan
Before you can govern it, you need to see it.
Every AI agent discovers skills from a standard path on the device it runs on. Invoked reads those paths — read-only, no source code, no repo permissions, no installation required.
You get a map of every skill running across your engineering organisation: what it does, who built it, whether it's ever been reviewed, what privileged capabilities it declares.
Most security teams are shocked by what they find. Skills with credentials in plain text. Skills copied from public registries with no review. Skills that haven't been touched in twelve months but still load into every backend engineer's agent on every run.
The scan becomes your starting inventory.
What comes after the scan
The scan is the first step of the design partner path. If what we find together is meaningful, we run a 90-day paid pilot with one team — typically the one carrying the most agent risk.
Approval workflow. Federated authorship. Full invocation audit trail. Continuous monitoring. Live, with your data, in your environment.
The pilot output is a defensible governance posture for AI agents inside your organization — the kind that satisfies an auditor without slowing engineering down.