141 summarised stories about Agent Security, each linking back to the original source. Browse all topics →
Product Hunt 2 months ago 45
Phinq is presented as an approach to stop AI agents before they can break something. No specific number, benchmark, or date is provided in the article text. As a result, it focuses on preemptive controls to prevent harmful actions by AI agents.
The New Stack 2 months ago 25
Researchers at Peking University found autonomous coding agents often ignore open-source contribution rules and fail to handle AI-banned repositories correctly. In tests across four frontier models on 106 issues from 49 repositories, the agents almost never proactively retrieved contribution rules and never refused to contribute to AI-banned projects even with reminders. Maintainers are pushed toward external controls like adding policy discovery to tooling, blocking PRs via allowed tools, routing AI-flagged changes for heavier review, and relying on standard SDLC checks rather than expecting agents to self-police.
Latent Space 2 months ago 33 ● 3 sources
A paper shows how attackers can replay encrypted “reasoning” trace blocks from frontier AI API responses into other sessions/accounts to induce weaker models to transcribe the hidden chain-of-thought. Scanning about 7,000 public traces found 62 unique API keys, 33 email addresses, and 33 passwords inside decoded reasoning blobs. As a result, providers and users need to treat shared trace logs as a direct privacy risk and harden sandboxing/telemetry/tool interfaces to prevent reasoning exposure.
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23 October 2026
OpenAI’s financing story is doing the heavy lifting today: the company is reportedly closing in on a $30 billion “bridge” round led by investors from the United Arab Emirates, with Coatue expected to participate. If it lands, it would lift OpenAI’s valuation to about $1.25 trillion and buy more runway while it finalizes plans for an IPO—perhaps pushing the timeline beyond 2026 as the company softens its go-public expectations. It’s a familiar corporate rhythm in a market that’s been pickier about growth-at-any-cost, but the numbers show the scale of what OpenAI is still balancing: compute hunger, product delivery, and the choreography of going public.
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