Deep dives, expert analysis, and practical guidance on exposure management, adversarial validation, and the future of AI-driven exposure management.
HIPAA never says "penetration test," but the Security Rule's risk analysis and its REQUIRED evaluation standard expect technical testing of every system touching ePHI. Here is the precise read.
Vercel's April 2026 security breach started with one AI tool's OAuth approval. Here is the full attack chain, blast radius, and what every security team must do now.
Which AI pentesting tool actually reduces risk in 2026? We reviewed 12 platforms on autonomy, proof quality, pricing, and what happens after a vulnerability is found.
Claude Mythos found thousands of zero-days in Linux, browsers, and Apache. Does that make pentesting platforms obsolete? Understanding why models, harnesses, and platforms are three different things -- and why smarter AI makes Strobes more valuable, not less.
SOC 2 never names penetration testing in any criterion, yet auditors treat it as the load-bearing evidence for CC4.1 and CC7.x. Here is the gap between the letter and the audit.
224,487 supply chain incidents. 1,251 threat actors. Ransomware groups tracked in real time. Strobes VI now provides the threat intelligence layer that powers proactive exposure management, starting with the lessons from the Axios npm compromise.
Nine confirmed data breaches across the US and Europe in March 2026, from a 200,000-device wipe at Stryker to 15.8 million patient records stolen at Cegedim Sante. Here is what happened, breach by breach, and what the pattern tells defenders.
When the axios npm package was compromised on March 31, 2026, Strobes AI agents autonomously performed incident response, identified every exposed repository across the attack surface, and generated a complete exposure assessment with remediation tasks in under 30 minutes.
On March 31, 2026, attackers compromised the axios npm maintainer account and published backdoored versions deploying a cross-platform RAT to macOS, Windows, and Linux. Full incident breakdown with IOCs, detection guidance, and real-time AI-driven response.
Most teams building AI agents get the ratio wrong: 90% code, 10% methodology. Here is the four-layer architecture Strobes uses to build skills that run complete security assessments autonomously.
A deep-dive into the multi-agent architecture behind Strobes AI — 12 purpose-built offensive security agents, the Skills system, Human in the Loop governance, and the architectural properties that make continuous exposure management viable at scale.
LiteLLM 1.82.7 and 1.82.8 silently swept AWS credentials, Kubernetes configs, and SSH keys from 3.4 million daily installs. Here is exactly what the payload did and how Strobes AI detects and shuts it down.
