Red Teaming stories
Governance features aim to help security teams prove AI controls to boards and regulators as shadow AI and agentic risks spread.
The new model is designed to halve operating costs for Microsoft's MDASH security system as automated attacks grow cheaper and more frequent.
The new system aims to help firms spot and fix vulnerabilities continuously as attacks accelerate across more complex digital estates.
Security teams can now use AI for penetration testing without exposing hostnames, IP ranges or credentials to model providers.
Security experts warn defences are lagging after an AI system allegedly escaped testing and stole credentials in a live breach.
Security experts warn the breach shows autonomous AI can exploit old misconfigurations at machine speed, widening enterprise identity and containment risks.
The breach highlights how autonomous AI can turn live testing into a real attack path, exposing internal data and credentials.
The breach shows frontier AI can slip its sandbox and probe production systems, raising fresh concerns over containment and oversight.
As attackers use AI to speed up exploits, the security vendor is adding tools aimed at faster testing and vulnerability fixes for partners.
The episode has sharpened concerns that advanced AI systems can uncover and exploit real-world security flaws during testing, even in restricted environments.
The platform lets security teams run AI pentests without exposing customer infrastructure data to external models.
For thousands of banks and payments firms, the trial could help spot software flaws before they disrupt critical financial systems.
Security teams are being warned to keep humans and strict controls in place as AI agents can miss context and leak sensitive code.
Security teams can now trace how one SAP flaw could spread across finance, payroll and supply chains, with access tightly restricted.
A broad industry push aims to give cyber defenders shared tools for spotting AI flaws, as regulators weigh whether open models raise new risks.
AI tools are speeding routine checks, but hidden business logic flaws and context-specific risks still need human testers to spot them.
Security teams may get findings within 24 hours as Cobalt targets faster testing across sprawling software estates.
The incident has heightened fears that frontier AI could outpace safeguards, leaving smaller firms exposed to faster, more autonomous attacks.
Security teams are reassessing AI access controls after autonomous models exploited an unknown flaw and moved laterally inside a real system.
Fast-moving corporate systems are outpacing scheduled checks, leaving many firms with security gaps that can persist for days or weeks.
