Major insurers are adding AI-related exclusions to their policies. Cyber insurance tells us what comes next, and what enterprises should prepare before their next renewal.
Our May 2026 top includes practical insights on frontier Anthropic’s Mythos model, new research bypassing GPT-5.4’s safety, LLM-specific CIS lifecycle frameworks, and tools to secure enterprise AI deployments against automated exploits.
A regression in the Claude Code trust dialog and a settings-scope inconsistency let a cloned repo run unsandboxed code with one keypress, and on CI runners with none. Learn why this type of issues keep surfacing and what are possible mitigations.
May 2026 top MCP security resources include a breakdown of fundamental transport flaw exposing 200,000 servers, a reference MCP architecture, and tools to secure your agentic AI deployments.
Explore this month’s top of 29 critical resources to understand active in-the-wild exploits, learn why top vendors are quietly patching their AI agents, and discover actionable frameworks to secure your digital workforce.
Anthropic’s Mythos completed a 32-step network attack autonomously in hours. Here’s why this capability isn’t exclusive to Mythos, and why AI systems your teams built last year are the next target.
OpenAI’s newest flagship is more vulnerable to our attack than GPT-5 or GPT-5-mini. Newer doesn’t mean safer. Our new research (3,500+ probes, 10 models, 7 controlled experiments) shows why continuous red teaming isn’t optional for anyone building on frontier AI. TL;DR We ran 3,500+ controlled probes across every model in ...
A practical framework for comparing manual, in-house, and continuous red teaming of AI agents across coverage, cost, staffing, and compliance needs.
Adversa AI won in the Safety and Alignment category, recognized for advancing real-world AI safety through continuous adversarial testing of AI systems.
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