AI & ML Security

Modern cyber defense is increasingly shifting toward proactive automation to counter the speed at which malicious actors identify and weaponize software vulnerabilities. The digital landscape of 2026 relies heavily on a complex web of open-source components that form the invisible foundation of

Manual patching and human-led threat responses have reached a mathematical dead end against weaponized intelligence that catalogs and exploits vulnerabilities at machine speed. The old paradigm of the "coconut strategy," which envisioned a rock-hard outer shell protecting a vulnerable, soft

Infected servers are being repurposed as scanning nodes that actively hunt for other vulnerable LiteLLM and Ollama instances to facilitate exponential botnet growth. The sudden pivot of cybercriminal organizations toward artificial intelligence infrastructure marks a significant turning point in

A carefully placed line of invisible text inside an email can now influence both a person and the AI assistant that screens the inbox, turning a routine phishing message into a two-layer attack. Barracuda researchers found that attackers had begun embedding prompt injections in messages meant for

ThestrategicuseofwellknownbrandnamessuchasNikeandLouisVuittonwithinrecruitment fraudaimstobypassnaturalusercarefulnessduringthehiringprocess. This calculated approach is part of a broader, more insidious trend where cybercriminals leverage the immense public fascination with Artificial Intelligence

The AI Gateway serves as the essential compute layer for GitLab Duo, making a sandbox escape particularly dangerous for organizations relying on AI-assisted coding. The discovery of CVE-2026-90970, which carries a near-perfect severity rating of 9.9 out of 10, marks a significant moment for the