Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Vulnerability Assessments in an Agentic World: Step-by-Step Guide

An old package or a misconfigured cloud storage bucket can be identified by a legacy scanner, but it does not account for the unique risk profile of autonomous systems. It cannot confirm that an AI agent with access to your production environment can chain together a CRM read, an email send and a production write using inherited credentials. Your agents are dynamic: they plan, call tools, and act across multiple environments, and some may retain context or long-term memory beyond the original request.

Adopting & Implementing Zero Trust: Moving from Concept to Execution

Zero Trust is often summarized as “never trust, always verify.” More precisely, it is a security model built on the premise that trust should never be granted implicitly based on where a user, device, workload, or resource sits. That makes Zero Trust much bigger than deploying a particular product or turning on a handful of access policies.

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.

How Far Can Prompt Injection Reach in Agentic Coding Assistants?

The blast radius of a prompt injection against your coding assistant was set weeks ago, by whoever built the dev environment image. Same assistant, same model, same injected sentence: on a laptop it collects every repository, SSH key and cloud login the developer holds; on a provisioned dev box it collects an organization token plus whatever the image left behind; on a CI runner it collects a deployment credential and a network path to production. Three environments, three incidents, one payload.
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Increasingly Dangerous Threats, Not More Alerts, Are the New SOC Challenge

For years, security operations centres have operated under the same constraints of more alerts than analysts, more investigations than hours in the day, and more pressure than most teams can sustainably absorb. That imbalance is becoming dangerous as frontier models rapidly improve at finding vulnerabilities and turning them into exploits, while defenders are left dealing with the consequences in real time.