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AI security news

Headlines and research on AI and agentic-AI security — prompt injection, MCP, LLM vulnerabilities, and the wider AI news around them — from vetted publishers and researchers, with links to the original reporting.

68 stories · refreshed hourly · updated Nov 7, 2026, 10:15 PM UTC · Atom feed

Research & analysis

Longer-form work from people who study AI security full time.

GenAI and Agentic AI Exploit Roundup Q3 2026 (opens in a new tab)

OWASP GenAI Security ProjectAI security

Coverage period: July 1, 2026 through September 30, 2026 Overview This roundup consolidates selected major AI-related security incidents and exploit disclosures reported during the coverage period. It aligns each entry…

Recovering Encrypted LLM Reasoning Traces (opens in a new tab)

Embrace The RedAI security

A few days ago, a paper named “Stealing Reasoning Traces from Proprietary LLM APIs” was published. It describes a simple, yet super elegant way to recover encrypted LLM reasoning traces. Naturally, I had to try it…

Latest headlines

AI Vulnerability Finding (opens in a new tab)

Schneier on SecurityAI security

A comment : 3% of ‘critical’ software security bugs, in all of recorded history, have been found in the last month. This is on pace to find another ~100,000 bugs this year alone, adding ~26% more vulnerabilities to the…

The agentic web is here (opens in a new tab)

MIT Technology ReviewAI

In 2001, a decade after he invented the World Wide Web, Tim Berners-Lee articulated a new vision. Together with two colleagues, he published an article in the magazine Scientific American in which he outlined what he…

How We Took Over ChatGPT Accounts (opens in a new tab)

Simon WillisonAI security

Parameter Labs describe an exploit they found against ChatGPT's implementation of the artifacts pattern (OpenAI used to call this "Canvas" but it looks like the latest revision is called HTML previews ), where…

Glossary:Sandboxing

Creating AI value with enterprise context (opens in a new tab)

MIT Technology ReviewAI

Across a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, conversational assistants, and workflow and process automation tools. Each one…

Hiding Capabilities in AI Models (opens in a new tab)

Schneier on SecurityAI security

Interesting research: “ AI Models Can Provably Hide Arbitrary Capabilities ” Abstract: Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption…

How this page works

This page reads the public RSS and Atom feeds of the publishers below once an hour. Each story shows a headline and a short excerpt and links to the original; Transom doesn't republish articles. General security outlets are filtered down to their AI-related stories, and stories are matched to glossary terms automatically — so expect the occasional miss. To suggest a source, or to ask for one to be removed, write to contact@transomsecurity.com.

Sources: Simon Willison, Embrace The Red, OWASP GenAI Security Project, Trail of Bits, Microsoft Security Blog, Google Security Blog, Unit 42, Schneier on Security, The Hacker News, BleepingComputer, The Register, SecurityWeek, Dark Reading, Ars Technica, MIT Technology Review.