AI News | Episode 39
In this episode of AI Security Ops, we break down the latest developments in AI-driven threats, identity chaos caused by autonomous agents, NIST’s focus on securing AI in critical infrastructure, and new visibility tooling for AI exposure.
We cover real-world abuse of LLMs for phishing, how AI agents are colliding with IAM governance, and what defenders should be watching right now.
Chapters:
00:00 – Introduction and Sponsors
Black Hills Information Security - https://www.blackhillsinfosec.com/
Antisyphon Training - https://www.antisyphontraining.com/
01:08 – LLM-Generated Phishing JavaScript (Unit 42 / Palo Alto)
Discussion begins as the hosts introduce the first story.
How LLMs are generating polymorphic malicious JavaScript for phishing pages and evading traditional detection.
👉 https://unit42.paloaltonetworks.com/real-time-malicious-javascript-through-llms/
08:49 – AI Agents vs IAM: “Who Approved This Agent?” (Hacker News)
Conversation shifts to agent privilege management and governance failures.
👉 https://thehackernews.com/2026/01/who-approved-this-agent-rethinking.html
10:07 – NIST Focus on Securing AI Agents in Critical Infrastructure
Discussion on federal guidance and why AI agents are being treated as critical infrastructure risk components.
👉 https://www.linkedin.com/pulse/cybersecurity-institute-news-roundup-20-january-2026-entrust-alz7c
13:44 – Tenable One AI Exposure
Breaking down Tenable’s push into enterprise AI usage visibility and exposure management.
👉 https://www.tenable.com/blog/tenable-one-ai-exposure-secure-ai-usage-at-scale
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Chapters
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