AI Security

A comprehensive breakdown of May 30, 2026 AI news, focusing on Anthropic's market dominance, the new Claude Opus 4.8 architecture, and the critical SymJack RCE vulnerability affecting major AI coding agents.

A deep dive into the first documented case of an AI-generated zero-day exploit targeting 2FA, exploring the shift from AI assistants to AI operators and how to defend your infrastructure.

Learn how to build zero-cost, zero-trust AI agents using local Qwen models and the MCPS protocol for cryptographic tool-call integrity and absolute data privacy.

An in-depth analysis of how autonomous AI agents can exploit internal RAG systems like McKinsey's Lilli, featuring exploit paths, architectural vulnerabilities, and defense strategies.

A comprehensive guide for security professionals transitioning into AI red-teaming, covering prompt injection, RAG vulnerabilities, and control stack testing using modern LLM APIs.

Google's Threat Intelligence Group has identified and neutralized the first confirmed instance of a zero-day vulnerability developed with the assistance of AI, marking a significant shift in the cybersecurity landscape.

A technical deep dive into the security architecture required to run LLM-generated code safely, focusing on sandboxing, network isolation, and telemetry.

An in-depth analysis of the Meta internal AI agent leak, offering a strategic security framework for enterprises deploying autonomous agents using Claude 3.5 Sonnet, OpenAI o3, and DeepSeek-V3.

OpenAI has significantly enhanced its Agents SDK, introducing new features for handoffs, safety guardrails, and multi-agent orchestration to empower enterprise-grade autonomous workflows.

Safetensors, the high-performance and secure model weight format, has officially joined the PyTorch Foundation. Explore why this transition from Pickle is critical for the future of AI infrastructure.

Meta and other major AI labs have suspended their relationship with data vendor Mercor following a significant security breach that potentially exposed sensitive AI training methodologies.

Anthropic, the developer of Claude, has experienced a series of internal and external security lapses recently, highlighting the vulnerabilities in the AI supply chain and the critical need for resilient API management.