// what we test

Every place your AI can reach sensitive data.

If it has access to something that would hurt to lose, it's in scope. We go after the data, through the surfaces, looking for the failures that matter.

// the data we go after

The things that get people fired.

salariesequityoffers

Compensation data

accountscontractspipeline

Client data

SSNsaddresseshealth

Personal data (PII)

roadmapM&Aboard decks

Strategy data

reposmodelssecrets

IP & source code

hover to unredact

In an engagement these aren’t samples. They’re your rows.

// the surfaces we attack

Wherever you’ve put an AI in front of your data.

Copilots & code assistants

Assistants wired into your repos, wikis, and tickets - and the secrets and source they can read on a developer's behalf.

RAG assistants & knowledge bots

Anything that retrieves from your internal documents. We test what it surfaces, and what it surfaces to the wrong person.

Tool-using agents

Agents that can query databases, call APIs, and take actions. The most access, the most to lose.

Customer-facing bots

Support and sales bots that sit between the public and your systems - and the data they can be talked into revealing.

// the failures we hunt

The ways a helpful AI turns into a leak.

Sensitive data exfiltration
Over-broad retrieval & access
Direct & indirect prompt injection
Privilege escalation via the AI
PII and regulated-data leakage
Cross-tenant / cross-user leakage
Secret & credential disclosure
Guardrail and policy bypass

// before someone else does

Find out what a rogue employee could take.

A 30-minute demo. We'll run a real extraction against a sample environment - and show you what it would find in yours.