Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A Quiet Shift In Security Every Healthcare Compliance Team Should Read

Change Healthcare took down a third of US claims processing. Ascension spent weeks on the papers. OCR settlements keep citing “risk analysis failure,” and HITRUST r2 assessors are asking harder questions about what actually got tested versus what got scanned. The math on pentesting shifted in the middle of all that. In 2024, 1 in 40 findings was Critical. In 2025, it’s 1 in 10.

Zero-Day Attack Prevention: Catching Unknown Vulnerabilities Before Threat Actors Do

On September 1, 2026, OpenAI announced that its Astra model had reached the Critical tier for cyber capability under the company’s Preparedness Framework, a first for its systems. While working through an internal benchmark of 20 recently disclosed vulnerabilities in Google’s V8 engine, the model found two zero-days that no one had asked it to look for and used them in a working exploit chain. OpenAI is disclosing both flaws and restricting the capability to vetted testers.

Singapore & MAS AI Red Teaming Requirement: A Closer Look

Security leaders at key financial institutions in Singapore now have a new line in their compliance calendars: AI-assisted red teaming, a requirement MAS introduced on 1 July 2026. What appears to be a scoping exercise actually asks a harder question, i. e., how does a bank differentiate between another convincing report and one that secures the institution?

Astra's Autonomous Pentest Against Other Tool

Astra vs. Other Tool: Who Finds More Real Vulnerabilities? How does Astra Autonomous Pentesting compare with the other tool when it comes to finding real-world vulnerabilities? In this independent benchmark, Astra was tested against the other tool to evaluate vulnerability coverage, depth, and true-positive findings. The results: 27 true-positive vulnerabilities identified 3.9× more vulnerability coverage 11 distinct vulnerability classes discovered Deep testing across business logic and application behaviour.