Service
AI penetration testing.
An AI pentest at Frontier Intruder is still a pentest. Models enumerate internet-facing assets, identity edges, and forgotten cloud surfaces at machine speed. Operators pick the ridge line and prove impact.
What this engagement covers
External tests start from the public perimeter: domains, APIs, SaaS edges, exposed buckets, SSO oddities. Assumed-breach work starts from a foothold you grant. In both cases the question is not a count of CVEs. It is whether an attacker can take a path that matters — data, control, or a quiet seat in identity.
Where the model helps
Recon and graph-building are where autonomy earns its keep. The system drafts an attack graph and ranks likely paths. It does not get a kill-chain of its own. Unattended exploitation is out of bounds. A senior tester signs every claim that leaves the room.
What you receive
A short path narrative for the board, a technical appendix for owners, reproduction steps, and a verification pass on critical routes after you patch. Not a scanner dump with a new cover.
Related: LLM application testing · method.