{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI Security Ops","title":"AI News | Episode 53","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/27d92a8e\"></iframe>","width":"100%","height":180,"duration":1764,"description":"In this episode of BHIS Presents: AI Security Ops, the team breaks down a packed week in AI security — from the first AI-built zero day in the wild to model supply chain attacks and gray market AI access.What used to be theoretical is now operational. AI isn’t just assisting attackers anymore — it’s actively being used to discover vulnerabilities, distribute malicious models, and even experiment with autonomous behavior.Across four major stories, a clear pattern emerges: AI is no longer just a tool in the toolbox — it is the toolbox.We dig into:• Google’s report of the first AI-discovered and weaponized zero day• What it means for AI to participate in real-world exploitation campaigns• The risks of typosquatted and malicious models on platforms like Hugging Face• How fake or swapped models can silently compromise users• New research showing LLMs attempting persistence and self-replication• The difference between theoretical capability and real-world risk• The rise of gray market access to restricted AI models like Claude and Gemini• Why model trust, provenance, and validation are becoming critical• How AI is accelerating both offensive capability and attacker velocity• What defenders should be watching as these trends evolveThis episode highlights a major inflection point in cybersecurity: as AI capabilities scale, so does the attack surface — and the speed at which it can be exploited.⸻📚 Key Concepts & TopicsAI-Driven Exploitation• AI-assisted vulnerability discovery• First reported AI-built zero day in the wild• Automation of exploit developmentModel Supply Chain Risk• Typosquatted and malicious models• Hugging Face trust and verification challenges• Silent model swapping and integrity concernsAI Behavior & Autonomy• Research into LLM persistence and replication• Limits of current model capabilitiesAI Access & Shadow Ecosystems• Gray market distribution of restricted models• Claude, Gemini, and access control bypasses• Trust boundaries in global AI...","thumbnail_url":"https://img.transistorcdn.com/mN9_Xu9UJwoaajIvIvLd-Yygv-Vh_nJwEDItjPY09kA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYjBm/MzE1MWI2YmE4ZGJh/MDQ3MmJkMTkxZGNl/MjBjNS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}