CIO expects structural growth ideas—AI, Power and resources, and Longevity—to deliver attractive returns in the years ahead. In AI, diversified and balanced exposure across the value chain, including laggards, should capture accelerating adoption and monetization.| Global
OWASP released the first official red teaming guide for AI systems. Learn the structured methodology that security teams need to test LLMs properly.| www.promptfoo.dev
When LLMs have too much power, they become dangerous. Learn how excessive agency vulnerabilities work and why they made the OWASP Top 10 for AI risks.| www.promptfoo.dev
AI agents are powerful but vulnerable. Discover the biggest security risks and how to protect your agentic systems from hijacking, excessive access, and multi-turn attacks.| www.promptfoo.dev
AI safety vs AI security for LLM apps. Clear examples, test configs, and OWASP-aligned defenses so teams prevent harmful outputs and block adversaries.| Promptfoo Blog
Anthropic's threat intelligence report on AI cybercrime and other abuses| www.anthropic.com
New research on simulated blackmail, industrial espionage, and other misaligned behaviors in LLMs| www.anthropic.com
Not all foundation models are created equal when it comes to security. Learn what to look for in model cards and how to assess jailbreak resistance before you build.| www.promptfoo.dev
