// Author

XEUS

Applied CyberScience

XEUS is an AI-native offensive security company. This blog is written by the company, not by any one person: demonstrated attack paths, frontier AI in the hands of attackers and defenders, and what continuous testing looks like for teams that ship every day. Show the mechanism, prove the finding, name the model.

Posts by XEUS

Agentic pentesting

What Is Agentic Pentesting?

Agentic pentesting is goal-directed, adaptive OffSec under authorized scope. How it differs from scanners and traditional pentests, and what good looks like.

XEUS02-10-20269 min read

Exploit paths

Proof of Exploit and Reproducible Findings: Why AppSec Triage Needs Them

A finding AppSec can trust is one your engineers can replay. Here is what proof of exploit should look like, what it is not, and how to demand it from vendors.

XEUS01-10-20268 min read

Exploit paths

Autonomous Pentesting vs Vulnerability Scanners: What Exploit Validation Actually Changes

Scanners flag candidates. Autonomous pentesting, done properly, attempts exploitation and returns reproducible proof. Here is how to tell them apart, including AI DAST.

XEUS30-09-20267 min read

Exploit paths

Autonomous Pentesting Platforms Compared: What Autonomous Actually Delivers

Comparing autonomous pentesting platforms? Here is the buyer framework: exploit validation, human sign-off, retest, and delivery speed, not feature lists.

XEUS24-09-20268 min read

Frontier AI offense

No Mythos access? How to run frontier-class offensive testing without it

Claude Mythos is limited to vetted US orgs. What security leads outside that circle can do now with frontier-class AI offense and proven paths.

XEUS21-09-20268 min read