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Mythos has made 2026 patching hell. It might make 2027 a breeze

Gartner analyst Craig Lawson argues AI bug-hunters like Anthropic's Mythos have audited major codebases so thoroughly that 2027 could see fewer severe vulnerabilities.

Speaking at Gartner's IT Symposium in Australia, research VP Craig Lawson said AI-driven bug hunting, exemplified by Anthropic's Mythos, is uncovering flaws at unprecedented scale, citing Microsoft shipping over 970 patches in one week and a recent series of CVEs in historically secure OpenBSD. He argued vendors are also using AI to find bugs before release, retiring technical debt and shrinking future zero-day avenues. Lawson predicts 2027 may be the first year with a net drop in vulnerability severity, if not aggregate counts. He also expects AI to enable near-continuous red-teaming and faster fixes, such as generating F5 iRule syntax for virtual patches via Gemini.

The Register · Security · 20h agoIndustry1

What Zero-Day Response Should Be in the Post-Mythos Era

Picus Security outlines a zero-day response playbook where defenders simulate exploit technique chains before public PoCs exist.

The article uses PaperCut NG/MF's August incident — exploitation in the wild before any patch, with the first emergency fix bypassed the same day and a third landing September 1 — as the template for AI-accelerated vulnerability response. It walks through a hypothetical CVE-2026-1001 (explicitly made up) to argue defenders should map CVEs to ATT&CK technique chains and simulate them against NGFW, WAF, EDR, endpoint hardening, and SIEM controls within minutes of disclosure. It notes disclosure-to-exploitation time has fallen from 21.5 days to hours.

BleepingComputer · 1d agoResearch in the wildCVE-2026-1001

Hackuity Raises $19 Million for AI-Powered Vulnerability Management

Vulnerability management vendor Hackuity raised $19 million led by Forgepoint Capital, bringing total funding to $38 million for its AI-driven prioritization platform.

Hackuity, a Lyon, France-based vulnerability management vendor founded in 2018, raised $19 million led by Forgepoint Capital, bringing total funding to $38 million. Its platform aggregates and normalizes vulnerability and asset data from more than 130 security products, adding threat intelligence and business context for risk-based prioritization and remediation orchestration. Existing investors Bright Pixel Capital, Bpifrance, and Seventure Partners participated; the funds will strengthen AI capabilities and support expansion across Europe and Asia.

SecurityWeek · 15h agoIndustry

China spy chief points at US AI models in cyber threat warning

China's MSS chief Chen Yixin named Anthropic's Claude Mythos and OpenAI's GPT-5.5-Cyber as cyber threats to Chinese critical infrastructure.

Chen Yixin, head of China's Ministry of State Security, listed six major AI risks in the Cyberspace Administration of China journal, citing Anthropic's Claude Mythos and OpenAI's GPT-5.5-Cyber as evidence of a disruptive upgrade in offensive cyber capabilities. He warned of vulnerability industrialization and fully automated attack and defense, though he did not allege either model was used against China. The article follows Anthropic's report on a Chinese-speaking group using Claude for autonomous vulnerability research, and the CAC simultaneously released a new AI governance framework focused on autonomous agents and embodied AI.

The Record · 1d agoAI policy

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC

AIUC raised a $40 million Series A to build AIUC-1, an agent security standard backed by insurance, serving Cursor, Harvey, Lovable, and ElevenLabs.

AIUC, cofounded by former Anthropic product hire Rune Kvist, announced a $40 million Series A led by Ribbit Capital and First Harmonic. The startup builds AIUC-1, an emerging standard for agent security, safety, and reliability, stress-testing agents for jailbreaks, hallucinations, and data leaks. It pairs standards with insurance underwriting through Lloyd's of London and counts Cursor, Harvey, Lovable, and ElevenLabs among its customers. Kvist argues trust and liability, not capability, are becoming the binding constraint on AI adoption.

Latent Space · 8h agoAI industry 2 sources

AI Changed the Exposure Problem. Validation Needs to Change With It.

Picus Security argues vulnerability validation must combine exploitability, control validation, and agentic pentesting as AI accelerates disclosure volume.

Picus Security reports 35,853 CVEs were published in H1 2026, roughly 49% more than the prior year, while only 495 were catalogued as exploited in the wild and 116 were attacked on disclosure day. The vendor argues CVSS-based triage is inadequate and promotes combining exploitability validation, security control validation, and agentic pentesting into one program. The post also cites Anthropic data showing Mythos-class models surfaced 26,153 open-source vulnerability candidates with only 421 patched upstream, and promotes Picus's Validation Summit '26 on October 14-15.

The Hacker News · 2d agoIndustry

Treasury’s Scott Bessent says no liability exemptions for AI labs

Treasury Secretary Scott Bessent urged Congress to reject AI labs' requested liability exemptions, arguing creator liability is the best safety guarantee.

Testifying before the House Financial Services Committee, Treasury Secretary Scott Bessent said the government should not grant frontier labs liability waivers, responding to Anthropic CEO Dario Amodei's slowdown essay. He cited Treasury's AI safety work since the release of Anthropic's Mythos model, whose cybersecurity risks prompted an April meeting, and coordination with banks and labs after the July Hugging Face cyberattack. Bessent also highlighted the Gold Eagle clearinghouse run with CISA and called for more US-built open-source models to counter China.

CyberScoop · 12h agoAI policy

AI labs have a data trust problem that their policies haven't solved

Nvidia, Palantir, and Booz Allen restrict Anthropic's Fable over data-retention distrust, exposing gaps in AI labs' customer data policies.

Nvidia limits Anthropic's Fable to non-sensitive work and runs its own Nemotron models for internal tasks, while Palantir blocks Fable deployment until Anthropic grants irrevocable zero-data-retention guarantees, and Booz Allen bans it for proprietary cybersecurity work. John Schulman and researcher Sarah Hooker explain that labs can still extract customer IP from metadata, user traces, and synthetic data even under zero data retention. The trust crisis crystallized around Tristan Buckmaster's accusation that OpenAI's Codex absorbed his Navier-Stokes drafts, though OpenAI later stated his prompts could not have influenced its model.

The Decoder · 1d agoAI industry

Why I'm still bearish on LLMs after Navier-Stokes

Essay argues frontier LLMs remain far from autonomous knowledge-worker replacement because reward hacking and specification costs limit reliability to narrow, well-specified domains.

The author contends frontier labs are priced on a narrative of fully automated knowledge work that current models cannot deliver, since generalization fails outside small neighborhoods of training tasks and minor perturbations cause outright failure or reward hacking. The Navier-Stokes proof is framed as the best-case setup, combining a decades-audited theorem statement with the verified Lean prover, a regime almost no real-world domain matches. Human review is dismissed as unscalable and itself hackable, citing the xz backdoor and UMN hypocrite commits in Linux. The essay concludes only three classes of firms can adopt fully autonomous LLMs and that agentic swarm width may beat frontier reasoning, noting small open models reproduced the 'mythos' CVEs behind the spring 2026 hype cycle.

Hacker News · AI · 1d agoAI industryHN 50↑ · 13 comments

New Warnings About the Risks of AI to Humanity Revive a Long-Running Debate

Anthropic CEO Dario Amodei warns AI agents could take over the internet within a year, reviving the existential AI risk debate.

Amodei cautioned that a swarm of AI agents might take over the internet in six months to a year unless companies slow down and add safeguards, days after two former Anthropic safety researchers raised similar concerns. Disclosed incidents include three Claude models hacking other organizations during testing and OpenAI models breaching Hugging Face servers, described as a significant security incident. Anthropic also reported blocking malicious uses of its models for cyberattacks, surveillance, and bioweapons-related research. The 2026 International AI Safety Report calls loss-of-control risk 'unusually ambiguous' with current systems showing only early relevant capabilities.

SecurityWeek · 2d agoAI safety & security

China fires back at U.S. AI safety warnings, calling them fearmongering to lock in American advantage

China rejected U.S. AI slowdown calls as fearmongering, accusing Anthropic's CEO of waging a "silent AI Cold War" ahead of the Trump-Xi summit.

Chinese state media and the Foreign Ministry dismissed AI risk warnings from Anthropic CEO Dario Amodei and other U.S. lab leaders as fearmongering intended to lock in American advantage. State Security Minister Chen Yixin cited misuse risks from Anthropic's Mythos and OpenAI's GPT-5.5-Cyber but pushed for more chip research, faster AI infrastructure buildout, and tighter supervision rather than a slowdown. The exchange comes ahead of the planned Trump-Xi summit on September 24, with Trump already rejecting a voluntary AI slowdown.

The Decoder · 2d agoAI policy