Browsing: AI Security

The rapid development of advanced AI models, like Anthropic’s Mythos, has significantly increased the speed…

Quick Takeaways Cisco Talos disclosed a use-after-free vulnerability (CVE-2026-3779) in Foxit Reader, exploitable via malicious…

Traditional incident response principles still apply to AI, emphasizing clear ownership, containment, safe escalation, and…

NIST’s 2020 IR 8259 provides foundational cybersecurity guidance for IoT device manufacturers to reduce vulnerabilities…

Fast Facts AI accelerates secrets sprawl, increasing vulnerabilities across development tools and environments, with leaked…

The evolving cyber threat landscape necessitates an “agentic SOC” model, which employs autonomous, AI-driven defenses…

Threat actors are embedding AI into all stages of cyberattacks, significantly increasing their speed, scale,…

Frontier AI models like Mythos are powerful for code-centric tasks but lack reliability and context…

Traditional security models are insufficient for AI-driven workflows, necessitating a unified platform that governs AI…

Effective AI agents require alignment across four intent layers—user, developer, role-based, and organizational—to ensure trustworthy,…