Find where your detection fails, before an attacker does.

Two ways in, whether you run a detection system or build one.

See where your live system fails, and get the fix to your vendor.

A white-glove evaluation of your own system against the threats circulating now, built on data matched to your world.

Custom data, externally produced or drawn from your own, matched to the threats your system meets.

A report mapping your detector against the current threat scope, per condition and per group.

The exact attacks that beat you, handed to your detector vendor to close the gaps.

We measure what a detector actually catches, not how it markets. See the method.

Pull labeled attack data through our API and red-team your model against what is landing now. Built for the teams that build detection.

We benchmark public and private models, so we can tell you which one holds for your threat, not which one markets best.

Identity verification and KYC

Synthetic IDs and face-swaps are clearing remote onboarding.

Hiring and interview platforms

Synthetic candidates are interviewing their way into real roles.

Banks and financial services

Voice clones are defeating phone authentication.

Enterprises and executives

Executive deepfakes are authorizing real wire transfers.

Insurance

Claimants are using AI to inflate or fabricate damage, and a real-looking photo is no longer proof.

Ecommerce

Fake listings, AI product shots, and doctored return photos are moving real money.