Created by Peter Felber
Timely AI security news, technical threats, governance updates, and real‑world incident analysis
Explore the latest content tracked by AI Security Pulse
Meta to capture employee mouse movements and keystrokes for AI training, exposing privacy risks in major labs' internal data harvesting. Ignites massive buzz with 692 points on Hacker News.
Governance mirage grips enterprises: 72% claim multiple 'primary' AI platforms amid sprawl from vendors like Microsoft and OpenAI, yet 1/3 lack...
6 AI security incidents rocked April 7-21, 2026—from data leaks to supply chain attacks—with step-by-step paths.
AI security pros: This guide covers 10 AI dangers and risks and how to manage them, spotlighting cybersecurity threats where bad actors exploit AI to clone voices, generate fake identities, and launch convincing cyberattacks.
Frontier prowess in vuln hunting:
Federal and defense sectors push agentic AI for efficiency, but governance lags:
Core weaknesses in LLMs enable poisoning and adversarial attacks:
Frontier defense model launched: GPT-5.4-Cyber is optimized for vulnerability discovery, code analysis, and incident response in secure environments,...
Enterprise AI blind spot exposed: Traditional tools miss prompt injection, data leakage, and unsafe agents in LLMs – a new attack surface demanding...
AI-driven 'patch gap' exploits financial systems faster: AI uncovers vulnerabilities rapidly but attackers exploit them before patches deploy across...
Supply chain attacks accelerating via AI tools demand AI-powered defenses to match adversary speed.
Key breakthroughs in probing AI black boxes:
AI leaders (11%) operationalize securely at scale by embedding governance from design, linking AI to business outcomes with clear metrics and...
Key developments in frontier AI security governance:
Google is ramping up AI-powered cyber defenses to counter machine-speed threats:
Anthropic's Claude Code source code leak from a routine update misconfiguration spread uncontrollably across the internet, defying takedown...
Trade-offs exposed: Generative AI cuts costs and labor in ML systems by aiding design, coding, data synthesis, and output analysis.
