A deep dive into the [un]prompted AI security conference, the new Zero Day Clock initiative for vulnerability management, the emergent risks of autonomous AI agents, and the pervasive issue of burnout in the cybersecurity field.
A detailed breakdown of the updated OWASP Top 10 vulnerabilities for Large Language Models (LLMs), explaining threats like prompt injection, data poisoning, and supply chain risks, along with practical defense strategies.
Experts from IBM discuss the nuanced role of AI in mainframe modernization, the immense infrastructural and product challenges behind global AI adoption, and the critical need for a multi-layered, security-by-design framework for the safe deployment of AI agents.
Jason Martin of HiddenLayer discusses the significant security vulnerabilities of OpenClaw, a viral open-source AI personal assistant. The analysis covers critical flaws like prompt injection, insecure defaults, and the potential for creating sophisticated botnets, offering key lessons for securing the next generation of autonomous AI agents.
A deep dive into the 2026 IBM X-Force Threat Intelligence Index, exploring the shift to exploiting public-facing applications, the rise of AI agent-related threats, critical AI infrastructure flaws, and the need for a more human-centric approach to threat intelligence.
Experts from IBM discuss Google's $200B AI investment in India, Claude's autonomous C compiler creation, the significant security risks in AI agent skills, and the looming AI ROI problem facing IT leaders, debating the shift from per-token to value-based pricing.