Security of AIDiscover & Analyze

Someone is fine-tuning a modelOn your customer data.

Discover unapproved AI in cloud and code, then map the frameworks, MCP servers, models, dependencies and secrets behind every agent.

Why It's Hard

You can't govern what you can't see.

Shadow AI hides in cloud control planes, in source code, and in the dependency tree of every agent framework you already have.

Cloud Control Plane Blind Spot

  • OpenAI and HuggingFace never touch CloudTrail
  • SDKs slip in via .env files and lockfiles
  • SaaS AI features leave no cloud audit trail
  • Approvals lag actual usage by months

Supply Chain Opacity

  • Agents pull dozens of transitive dependencies
  • MCP servers ship with write access by default
  • Model providers change routes without notice
  • Secrets end up pasted into system prompts

Governance Without Inventory

  • You cannot approve what you have not inventoried
  • Risk registers reference services no one runs
  • Approvals live in tickets, not in the loop
  • Data-volume signal is missing on every finding

Your Governance Team's Time Is Expensive

The valuable AI-governance work is deciding what is sanctioned. Agent workflows keep the discovery current and the risk-scored inventory ready so governance acts on findings rather than assembling them.

The Portfolio

Two agents mapping the AI estate.

Shadow AI Discovery

Cloud control-plane analysis for native AI services plus source scans of your repositories for third-party SDKs, every finding scored by approval status and data volume, with the CloudTrail event IDs or exact source files cited.

See it work

AI Supply Chain

Maps agent frameworks, models, SDKs, MCP servers, prompt and tool schemas, dependencies, secrets and provenance, then flags vulnerable packages, poisoned artifacts, unsafe defaults and dangerous capabilities against where they are reachable.

How It Works

Scan cloud, scan code, resolve, rank.

01

Scan the cloud

Control-plane activity across accounts and regions is matched against a catalog of native AI services, the ones that leave a trail when they run.

02

Scan the code

Repositories are scanned for third-party AI SDKs, MCP servers, agent frameworks, the usage that never touches the cloud control plane and hides in dependency files and API keys.

03

Resolve

Every dependency is resolved to its true origin and provenance, so a package that arrived transitively through an agent framework is attributed rather than hidden behind it.

04

Rank

Findings are ranked by approval status, data volume, and the capability they unlock, an unapproved high-volume service outranks a sanctioned one; a write-and-delete tool outranks a stale package nothing calls.

Coverage

What The Discovery Finds

Two discovery paths, one inventory, cloud shadow and code shadow surfaced together, with the evidence and the fix on every finding.

Cloud Shadow AI

Native AI services across cloud accounts detected from control-plane activity, with principal, account, region and data volume attached.

Code Shadow AI

OpenAI, Anthropic, Gemini, LangChain and HuggingFace usage found in code, from a gpt-4o call, an OPENAI_API_KEY in a .env, a transformers import.

Agent Supply Chain

Frameworks, MCP servers, SDKs, models, prompts, tool schemas, dependencies, secrets and provenance mapped for every agent workload.

Risk = Sanction × Volume

Findings scored by approval status and the amount of data they move, the two things that must be blocked today are not lost among the approved ones.

Not Another SIEM.The AI Estate, Inventoried.

Existing tools see fragments. Shadow-AI discovery pairs a cloud control-plane view with a source scan and adds the supply-chain map behind every agent, so the estate is inventoried before it is governed.

See it work

Business Outcomes

What the discovery changes.

Seen

AI usage in cloud and in code, inventoried instead of invisible.

Ranked

Scored by sanction and volume, not by brand.

Actionable

Evidence and a tier-appropriate next step on every finding.

Find the AI nobody signed off.

Discover unapproved AI usage across your cloud and your code, map the supply chain behind every agent, and score every finding by real risk.