Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Agentic AI-Assisted Penetration Testing: AI Scale. Human Precision

When Mythos launched, headlines warning of its potential dangers were prolific. For security risk leaders, it felt like a watershed moment, one that signaled that AI had arrived, but simultaneously raised widespread concern about risk. Many wanted to understand how real the risk was for their organization and what should be done about it.

Can Autonomous Pentesting Rescue CVE Coverage From Vanity Metric Hell?

The security industry killed CVE coverage as a credible metric, and it deserved to die. Vendors inflated the numbers for years in the name of depth, and nobody in the room had an incentive to ask whether they reflected real validated risk or just a longer signature list. So “CVE coverage is a vanity metric” became earned consensus. The question I keep coming back to is whether the autonomous pentesting era makes that consensus outdated.

Autonomous Pentesting Is About To Kill Security Abbreviations

I have watched the security industry run a very profitable game with abbreviations for the last decade. The simple way to do it is to invent a category, give it a cool catchy abbreviation, market it as the missing piece of the stack, and repeat. The greatest examples are CTEM, BAS, ASM, and EASM. Every one of them arrived promising to close the gap the last one left open, and every one of them ended up as a line item on a renewal spreadsheet that nobody at the buyer‘s side could confidently defend.

Chaining Vulnerabilities into Attack Vectors with Autonomous Pentesting

Your vulnerability report is sorted by severity. The adversary looking at the same environment is sorted by path. That mismatch is the whole problem. Open any scanner output, and you get a tidy hierarchy: criticals at the top, then highs, then a long tail of mediums and lows that most teams will never touch. To the person who wrote the ticket, that tail is noise. To someone who thinks in chains, it’s a roadmap. A page of “lows” is not a page of things you can ignore.

Autonomous Pentesting to Vet Vendors at Scale in 2026

Somewhere in your vendor list, right now, there is a door you have never checked. You didn’t build it, you don’t hold the key, and yet if someone walks through it, the breach notification goes out on your letterhead. The numbers too aren’t subtle. Verizon’s 2026 Data Breach Investigations Report found that 48% of breaches now involve a third party, up from 30% just a year earlier, the sharpest rise the report has ever recorded. Your vendors are your attack surface now.

Why DevSecOps Teams Are Adopting an AI Pentesting Solution

Software teams today are shipping code faster than ever before. New features go live weekly, sometimes daily, and the pressure to stay ahead of competitors means security can no longer be treated as a final checkpoint before release. This shift has pushed DevSecOps teams to rethink how they test for vulnerabilities.

Jason Haddix: Stop fearing AI pentesting

This post is based on Mackenzie's conversation with Jason Haddix on The Secure Disclosure podcast. Listen to the full episode or watch below. Jason Haddix has topped the Bugcrowd leaderboards, run security as CISO of Ubisoft, and wrote The Bug Hunter's Methodology, the playbook a lot of working pentesters learned from, so his read on the direction of the field is worth listening to. He believes that “90% of pen tests will be done by AI” in the near future.

Autonomous Pentest Findings: Unauthenticated Kill Switch

Some of the most dangerous vulnerabilities in modern web apps are the default features left switched on where they were never meant to be reachable. The first entry in our Findings from the AP series looks at an exposed actuator endpoint. On paper, this finding started the same way most do: an HTTP endpoint returned a 200. Nothing about that response looks unusual by itself. It’s the kind of line that gets logged, categorized, and moved past in most automated scans.

Indusface WAS AI-Assisted Pentest: Comprehensive Vulnerability Assessment Across Web, API and AI Apps

For years, our security team has run pentests against business-critical applications across industries, and one pattern stands out. The vulnerabilities that are the most difficult to remediate are business logic vulnerabilities: IDOR, broken access control, privilege escalation, and multi-step workflow abuse. These are the kind of vulnerabilities pentest experts find by noticing a broken assumption behind one API call and chasing it until the full exploit path becomes clear.