Hannibal Puts Autonomous Penetration Testing Under Your Control
Autonomous penetration testing in the Praetorian Guard Platform has changed shape. Hannibal started as a hunt agent for external and cloud attack surfaces. Today, it’s something your security team can run entirely on its own terms. Web applications and LLM endpoints are now first-class attack surfaces. Hunts can authenticate into applications, test what a real […]
FreeBSoD: Leveraging Language Models to Find and Exploit Kernel Bugs (Part 2 of 2)
Overview In the first installment of this series, I walked through how I leveraged large language models to assist in identifying several vulnerabilities in the FreeBSD kernel, including a stack-based buffer overflow assigned CVE-2026-3038. This raised a natural follow-up question. Can language models effectively write exploits for memory corruption vulnerabilities? This article explores that question. […]
Multi-Step Attack Vectors: When Vulnerabilities Form an Attack Chain
Praetorian’s approach to cybersecurity centers around a core belief that combining innovative technologies and the best people in the business leads to real results. In our experience, neither can fully solve cybersecurity challenges on its own. We therefore have designed our services organization and offerings to blend them seamlessly. We applied the same philosophy when […]
Meet Nosey Parker — An Artificial Intelligence Based Scanner That Sniffs Out Secrets
Introduction Because inadvertent secrets disclosure is one of the more common attack paths into an organization, we’ve developed Nosey Parker—a machine learning powered, multi-phase solution for locating secret exposures. Nosey Parker has a significantly higher signal-to-noise ratio than many popular alternatives. With ML denoising, false positives are all but eliminated and our standalone ML-powered scanner […]