AISI reports that GLM-5.2 and DeepSeek V4-Pro perform similarly to closed frontier models released four to seven months before them, narrowing from the six to ten months it measured through most of 2025. It puts a 100-million-token cyber range run at about $85 for Opus 4.5 and 4.6, about $46 for GLM-5.2 and $1.19 for DeepSeek V4-Pro.
The White House announced GOLD EAGLE, a clearinghouse for coordinating cybersecurity vulnerability disclosure between government and industry, led by the Department of the Treasury with participation from DHS/CISA and the Department of War. The release states the initiative was established under Executive Order 14409 (signed June 2, 2026) and has already begun to intake and prioritize identified vulnerabilities and coordinate scanning verifications.
In its incident disclosure, Hugging Face says it ran LLM-driven analysis agents over the attacker's full action log of more than 17,000 recorded events to reconstruct the intrusion and scope the blast radius. It names GLM-5.2, an open-weight model it ran on its own infrastructure, as what it used for the forensic analysis.
Microsoft shipped fixes for 570 vulnerabilities — 59 rated critical — including three zero-days: CVE-2026-56155 (AD FS) and CVE-2026-56164 (SharePoint Server) actively exploited, plus publicly disclosed CVE-2026-50661 (BitLocker bypass). AI-product CVEs in the release include CVE-2026-48561 (Microsoft Copilot RCE, critical), CVE-2026-50510 (GitHub Copilot RCE), CVE-2026-41109 (GitHub Copilot/VS Code security feature bypass) and CVE-2026-47282 (GitHub Copilot/VS Code information disclosure).
Orca Security's 2026 State of AI Security Report, based on anonymized telemetry from more than 1,200 production organizations collected in Q2 2026, found that 81% of organizations running AI packages have at least one known vulnerability and that 99.9% of AI vulnerability alerts with an available fix remain unpatched. The report also states 50% of AI package vulnerabilities have a publicly available exploit and that 56% of organizations have deployed AI agents into production.
Hunt.io analysed an exposed open directory containing 2,431 files, including operator logs of LLM sessions, and described a split-model workflow in which Claude Code acted as the execution engine for agentic tool use, bash execution and session persistence while DeepSeek-v4-pro handled attack logic, script generation and decision-making. Hunt.io reported exploitation against an Afghan government application, a Thai government administrative system via SQL injection, and two Taiwanese critical-infrastructure organisations, with reconnaissance against US government entities and financial firms in Europe, Australia and Asia.
AM Best maintained a stable outlook on the global cyber insurance segment, citing solid demand for coverage, favorable profitability and only a slight three-year uptick in loss ratios, even as premium rates keep declining amid competition with no near-term stabilization expected. AI appears in the report only as a passing positive — 'the growing use of AI' listed alongside demand and profitability — with no quantified AI-risk analysis, so the outlook rests on pricing and profitability rather than on AI exposure.
A report from AIUC, an MGA that sells AI insurance, argues that more than 90% of insurers' exposure to AI agents currently sits unpriced inside conventional cyber, D&O, general liability and tech E&O wordings rather than as affirmative AI cover, and projects roughly $100bn in direct losses. Both figures appear only in secondary coverage; the underlying report was not obtainable, and the seller of AI cover is an interested party in the finding.