The control layer for AI agents | AlienGiraffe
The control layer for AI agents

Your team is already using AI. Start steering it.

Unmanaged MCPs, long-lived credentials, and runaway AI cost are already piling up across your org. AlienGiraffe gives Security and IT the visibility and control to govern all of it, and gives your team safe, one-click access to the tools they love.

Backed by StartX (X25) Presented at OWASP

One gateway between the AI your team uses and the systems it touches.

Every prompt, tool call, and credential flows through a layer you own.

Agentic tools
Codex
Cursor
Claude Desktop
AlienGiraffeAudit · Control · Enablement
Your systems
GitHub
Atlassian
Snowflake

The problem

Your team is using AI tools you can't control.

Source code, customer data, and credentials are leaking out through them, and you can't see it, scope it, or shut it off.

Ungoverned sprawl

Engineers wire up Cursor, Claude Code, and hundreds of MCPs, CLIs, and skills, adopted far faster than any review process can keep pace.

Over-scoped connectors

MCPs ship broad permissions by default, so you either block them outright or grant read-only and forfeit the entire value of agentic write access.

Standing credentials

Long-lived, broadly-scoped tokens sit on developer laptops, unrotated, unmonitored, and expanding your attack surface by the day.

Zero observability

You can't enumerate what a tool can reach, revoke its access, halt it mid-session, or attribute a dollar of what it spends.

What it is

A control layer for AI agents, MCPs, and CLIs.

It's a gateway. Everything your AI tools do passes through it, so you get real control instead of a binary allow/block, and your team keeps the tools they love. We enforce at three points, so you're covered no matter how a tool connects.

01

MCP plane

Govern every MCP server: which teams get which servers and tools, with what permissions.

02

Data plane

A proxy in front of your data-heavy operations that keeps sensitive data out of the MCP request and response entirely.

03

CLI mirroring

For tools that don't speak MCP, our CLI mirrors apply the same permissions and isolation.

How it works

Stop the bleeding, then go all-in on AI.

01

Discover

Our local daemon surfaces every AI client, MCP, CLI, and skill already running across your org. You can't govern what you can't see, so we start here.

02

Enforce & control

Migrate your existing MCPs, integrate your IdP, and set your policies. Define which teams get which tools, what they can do, and what data they touch.

03

Monitor & optimize

Your team gets one-click access to the latest MCPs, skills, and CLIs. You get the full audit trail, plus the data to tighten permissions and cut cost as AI use grows.

Access

MCP and CLI, because your team uses both.

One layer governs every way your team works with AI: managed MCP servers, mirrored CLIs, and whatever tools they love.

IT manages with ease.

Configure MCPs once for the org and publish them to a private registry. Your whole team installs in one click, already configured.

Use the tools you love.

Get the latest MCPs, CLIs, and skills with no ticket and no waiting. Everything arrives pre-configured, so no one is boxed in and no one has to figure it out alone.

Hosted or local.

Run our managed MCPs, or host your own internal ones with the exact same controls, and share them across the org.

Control

Control you can actually operationalize.

Governance that runs in production, not a policy doc nobody enforces.

The Lander - enforcing locally

Our local daemon, distributed through your MDM, enforces the gateway on every endpoint so it is never optional. Revoke or halt any tool instantly, mid-session, the moment something looks wrong. The honor system was never going to pass an audit.

Policy as code

RBAC, agent personas, and session type, expressed as code and kept in version control.

Full audit

Every prompt, tool call, and skill is logged, attributable, and ready for review.

Cost control

Attribute spend per team and tool, then cut it with caching and standardized prompts.

IdP-native

Provision and de-provision through Okta, Entra, or Duo, with group sync built in.

Enterprise-grade security

Built to run inside your perimeter.

Runs fully in your cloud.

Your data and traffic never leave your environment.

Integrates with your IdP

Provision and de-provision through the directory you already run. Group sync over SCIM keeps access current.

Integrations

Natively integrates with your stack.

Okta
Entra
Duo
Splunk
Datadog
S3

Backed by

People who've built this before.

Our investors and advisors have built and backed the security and data infrastructure that runs in production, at the scale our customers live with.

Basis Set Ventures

Backs the companies defining modern data security and governance, including Drata and DataGrail.

SNR

Kevin Mahaffey's fund. Kevin is the founder of Lookout, the mobile and cloud security company he scaled past a $1B valuation.

AME Cloud Ventures
Defined
Dave Hodson

Advisor

Dave Hodson

Led authentication and authorization (AuthZ/N) at Google Cloud and Microsoft.