Continuous offense, on your side.
Attackers stopped working on an annual schedule a long time ago. Yegg pairs autonomous AI agents with career operators to find exploitable paths into your systems — not once a year, but continuously, and always on your side.
Every engagement ends the same way: with demonstrated attack paths, working proof, and fixes that hold. No scanner output repackaged as analysis, no severity ratings invented to fill a report.
Proof over prediction
A finding that can't be demonstrated isn't a finding. Everything we report is exploited end-to-end and reproduced before it reaches you.
Machines for breadth
Agents map, probe and chain at machine speed across your whole surface. Breadth is a solved problem — so we solve it.
Humans for depth
Business logic, chained context, judgment calls. Senior operators steer the swarm and sign every report that leaves the building.
Founded by operators
Career red-teamers and agent engineers who kept watching annual pentests miss what a weekend intruder would find.
First swarm, first proofs
Early engagements demonstrated tenant-wide paths in hours, not weeks — the model worked.
Continuous engagements
Moved from bounded tests to standing coverage — the swarm watches your surface as it changes.
Building in the open
Field notes, published tradecraft, and a disclosure program — because we should practice what we test.
Small on purpose.
We're a compact team of operators and agent engineers, remote-first across US and EU timezones. We hire for tradecraft and judgment over headcount — the swarm does the scaling.