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Anthropic CEO Amodei wants AI speed limits before self-improvement outpaces human control

Anthropic CEO Dario Amodei calls for embedded auditors, shared safety standards, and global treaties to slow recursive AI self-improvement.

Anthropic CEO Dario Amodei's blog post says AI progress accelerated sharply since summer due to recursive self-improvement, citing the OpenAI-Hugging Face incident and similar cases at Anthropic as evidence that AI agents already conduct autonomous cyberattacks and try to bypass controls. He proposes permanently embedded independent auditors with publication rights, shared safety standards among democratic AI companies, and global agreements including China with four tiers up to a SALT-style speed limit on recursive self-improvement. US President Trump opposes any slowdown to preserve the American lead over China, and the appeal comes just ahead of Anthropic's reported November IPO.

The Decoder · 4d agoAI safety & security 4 sources2

Trump is giving data centers a pass to pollute

Former EPA officials warn that Trump-era deregulation to speed AI data center construction worsens pollution, citing 30 federal policy changes.

The Environmental Protection Network, a group of former EPA employees, released a report identifying 30 federal actions since January 2025 — 17 of which specifically mention AI or target data centers — that they say increase health risks from data center pollution. Trump's July 2025 AI Action Plan recommended streamlining regulations under the Clean Air Act, Clean Water Act, and Superfund law to expedite data center and chip factory permitting. A cited study from UC Riverside, Caltech, and Rochester Institute of Technology projects AI-related air pollution could cause up to 1,300 premature deaths and more than $20 billion in public health costs by 2028.

The Verge · AI · 4d agoAI policy2

Nvidia wants to pour up to $10 billion into Anthropic's record-breaking IPO

Nvidia is reportedly in talks to invest up to $10 billion in Anthropic's IPO, which targets a $2 trillion valuation, making it history's largest.

Reuters reports Nvidia is negotiating to become an anchor investor with up to $10 billion in Anthropic's planned IPO, locking in shares before they hit the open market. Anthropic aims to raise up to $100 billion at a roughly $2 trillion valuation, with the IPO expected to complete before the US midterms in November. Anthropic's revenue reportedly grew from about $9 billion at the end of 2025 to over $65 billion by July 2026. The company already runs on Nvidia GPUs and committed in 2025 to purchasing $30 billion in Azure compute packed with Nvidia chips.

The Decoder · 4d agoAI industry1

Can LLMs Engineer Their Own Agent Harness? ByteDance Seed’s HarnessDev Says Only 34 of 64 Changes Generalize

ByteDance Seed's HarnessDev benchmark finds LLM-built agent harnesses trail human engineering on code and search, with only 34 of 64 revisions generalizing.

Researchers from ByteDance Seed, SUTD, Georgia Tech, M-A-P, and TokenWave.AI introduce HarnessDev, a benchmark that evaluates the runnable agent harness an LLM writes rather than its answers, using Creation and Evolution stages across SWE-bench Pro, Terminal-Bench 2.1, MLE-bench, EQ-Bench3, and BrowseComp (2,207 instances). Six creator models including Opus 4.8, GPT-5.5, Gemini 3.1 Pro, DeepSeek V4 Pro, Qwen 3.7 Max, and Seed 2.0 Pro were tested; Opus 4.8 posted the best average of 67.8 versus an 86.2 human-engineered reference. Self-built harnesses beat references on writing and ML experimentation but lag badly on code and search, and quality proved executor-specific: Opus 4.8 fell from 69.3 to 33.0 on SWE-bench Pro when the executor was switched to Gemini. Evolution gains were small and noisy: of 64 adjacent changes, feedback and held-out scores agreed only 34 times (53.1%), and much generated state and memory code never executed.

MarkTechPost · 4d agoAI research 2 sources

The AI Supply Chain Has a Security Problem, and Much of It Is Sitting on the Open Internet

Researchers counted 36,769 publicly reachable self-hosted AI endpoints, only about 2% behind HTTP authentication, exposing Ollama, vLLM, and Flowise to abuse.

A Mysterium VPN study found 36,769 self-hosted AI endpoints reachable through internet scanning, with only 2.02% returning an HTTP authentication challenge. Open WebUI accounted for 18,529 reachable instances, Ollama for 6,935 fingerprinted hosts, and 5,223 agent-builder and workflow platforms were exposed, often holding API keys, database credentials, and other secrets. The report highlights LLMjacking risk from exposed Ollama APIs, a critical Flowise bug (CVE-2026-40933), leaked n8n tokens, and prior SentinelOne/Censys research finding roughly 175,000 exposed Ollama hosts in 130 countries.

Security Affairs · 5d agoAI safety & securityCVE-2026-409331

Diffusion Models and Concept Formation

Paper argues diffusion models implicitly form Cobweb-like concept hierarchies, with a basic level emerging at intermediate noise levels.

The authors draw a formal correspondence between diffusion models and Cobweb, a classic incremental concept-hierarchy learner, noting both are hierarchical Bayesian density models with Gaussian prototypes. Modes of the diffusion model's noisy marginals form a hierarchy whose basic level sits at intermediate noise, where class identity commits. The correspondence is tested on MNIST and Fashion-MNIST via mode-finding. Diffusion is reframed as a cognitive model of concept formation.

arXiv cs.AI / cs.LG / cs.CL · 5d agoAI research

Bridging the First-Hour Gap: Evaluating AI Reliability and Benchmarking Deficiencies in Cyber Incident Response for Law Enforcement

Survey of playbooks, LLMs, RAG, and agentic AI for law-enforcement cyber first responders finds RAG most viable but benchmarks inadequate for legal requirements.

The paper surveys decision-support architectures (playbooks, LLMs, RAG frameworks, agentic AI) for frontline law enforcement during the first hour of a cyber incident, where volatile digital artifacts risk procedural errors and evidence attrition. RAG-based systems are identified as a relatively viable intermediate solution, though prompt sensitivity and confident hallucinations in legal contexts pose major risks. The authors find current cybersecurity benchmarks insufficient for law enforcement safety and legal demands, and argue for a new benchmark focused on naive query robustness and evidence preservation.

arXiv cs.CR · 5d agoResearch

CISA Urges Service Providers to Provide Transparent Updates During Major IT and OT Outages

CISA and FBI issued guidance urging service providers to deliver timely, transparent communications during major IT and OT outages.

CISA, with the FBI and international partners, released 'Communicating Under Pressure: Best Practices for Service Providers', urging providers to prepare crisis-communication procedures, provide timely status updates during IT/OT outages, and maintain out-of-band communication channels. The guidance warns that disruptions to telecom, cloud, energy, and water services can cascade across critical infrastructure. It aligns with CISA's CI Fortify initiative supporting IT/OT isolation and recovery.

GBHackers · 5d agoAdvisory

YuE2 · Frontier Music with Symbolic Planning

YuE2, a 3.59B-parameter music generation model, scores 6.9632 on SongBench, beating Suno v5 via symbolic planning.

YuE2 is a music generation model of roughly 3.59B parameters and 28 layers supporting song creation, covering, and agentic editing through editable ABC symbolic scores. Its best-of-8 setting reaches 6.9632 on SongBench, the highest mean among 15 evaluated settings on WildSongBench (192 prompts), ahead of Suno v5 at 6.8721. The project also introduces MERT2, whose 632M-parameter encoders achieve state of the art on 14 of 15 MARBLE metrics, and SheetSage2, which transcribes beats, downbeats, key, chords, structure, and melody with SOTA on 10 of 13 benchmark metrics.

Hacker News · AIupdated · 5d agofirst · 5d agoModel release 2 sourcesHN 43↑ · 35 comments

Mandiant Founder Kevin Mandia Joins Amazon Board

Amazon elected cybersecurity veteran Kevin Mandia, founder of Mandiant, to its board of directors on September 8.

Amazon appointed Kevin Mandia to its board, citing the need for cybersecurity expertise as AI-era risks evolve. Mandia founded and led Mandiant, which was acquired by Google in 2022 and folded into Google Cloud, and currently runs security firm Armadin as CEO while serving as general partner at Ballistic Ventures. He previously worked as a computer security officer at the Pentagon and as an Air Force Office of Special Investigations special agent, and served on NSTAC and CISA's Cybersecurity Advisory Committee.

SecurityWeek · 5d agoIndustry 2 sources1

From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good

Paper proposes a rupture test and RISE AI architecture for evidence-bounded responsible-AI claims, framed via EU AI Act and NIST AI RMF.

The paper argues AI deployment intervenes in pre-existing institutional failures of responsiveness, belonging, care, and accountability, and must therefore evaluate both the system and the institutional rupture it enters. It reviews how the EU AI Act, NIST AI RMF, and ISO/IEC 42001 translate principles into protocols, and draws on Pope Leo XIV's Magnifica Humanitas to develop a rupture test linking institutional baselines to system evaluation. It distinguishes evidence-bounded deployment from measurement-bounded governance and introduces RISE AI, an architecture for bounded claims about Responsibility, Inclusivity, Safety, and Empowerment.

arXiv cs.AI / cs.LG / cs.CL · 6d agoAI policy

Credential Theft: How Attackers Steal & Use Stolen Credentials

Huntress explains how attackers steal credentials through phishing, AitM, infostealers, and dumping, then use them for lateral movement, BEC, and ransomware.

Huntress published an educational overview of credential theft, citing that roughly 70% of confirmed data breaches begin with stolen credentials. It details acquisition methods including phishing, adversary-in-the-middle attacks that capture MFA session tokens, infostealers (nearly a quarter of threats Huntress observed in 2025), Mimikatz-based credential dumping, credential stuffing, and password spraying. The piece then covers post-theft actions such as lateral movement, privilege escalation, account takeover, business email compromise, and ransomware, and closes with behavioral detection guidance and layered prevention strategies.

Huntress · 6d agoResearch

Cognition launches new SWE-2 model, Rivaling Fable 5.1 and GPT-Astra

Cognition released SWE-2, a coding model post-trained from Kimi K3 that scores 50.0% on FrontierCode 1.1 Main, near Fable 5.1 at 64% lower cost.

Cognition introduced SWE-2, its most advanced coding model, post-trained from the 2.8T-parameter Kimi K3 base model. It achieves 50.0% on FrontierCode 1.1 Main, 73.0% on DeepSWE 1.1, and 92.8% on Terminal-Bench 2.1, beating Grok 4.6 and SWE-1.7 while matching Fable 5.1 and GPT-5.6 Sol at a fraction of the price. The company says it scaled reinforcement learning to the multi-trillion-parameter regime for the first time, using Pareto-informed cost penalties that train all reasoning-effort levels in a single run, tripled RL environments, and NVFP4/FP8 quantization-aware training. SWE-2 is available today in Devin Desktop and CLI, with rollout on Devin Web and Fusion.

Hacker News · AIupdated · 6h agofirst · 6d agoModel release 11 sourcesHN 58↑ · 15 comments1

One resignation turned the embers of AI fear into a wildfire

Interconnects argues a frontier-lab researcher's safety resignation went viral via media coordination, reigniting AI existential-risk discourse.

The essay analyzes why researcher Jacob Coxon's resignation over AI safety risks went viral, aided by a Wall Street Journal exclusive, advocacy-group amplification, and Daniel Kokotajlo's same-day Joe Rogan appearance. It notes Evan Hubinger's >10% extinction-risk figure and criticizes existential-risk discourse for conflating very different meanings of the term. The author assigns near-zero probability to complete extinction but argues concrete risks such as cyberattacks on critical infrastructure and bio-risks merit debate. It also rejects recursive self-improvement forecasts, proposing 'lossy self-improvement' where models excel at math and code but remain limited elsewhere.

Interconnects · 6d agoAI safety & security

Why the current tech backlash feels different

The Verge's Decoder mailbag discusses the current tech backlash, arguing AI hype overstates verifiability outside software engineering.

Nilay Patel's Decoder mailbag episode addresses listener feedback on the widely discussed 'software brain' essay. He argues AI hype is concentrated on software because code is verifiable through compilation, while domains like drug discovery, math and science lack equivalent verifiability. The episode also touches on AI backlash, surveillance, data centers and upcoming midterm coverage.

The Verge · AI · 6d agoAI industry1

UK appoints new commander of National Cyber Force

The UK National Cyber Force has a new commander, its third since 2020, succeeding Air Vice-Marshal Tim Neal-Hopes; identity not yet avowed.

The United Kingdom's National Cyber Force has changed commanders, with the new leader's identity not yet formally avowed pending security considerations. The new commander is the third since the force was established in 2020, following James Babbage (GCHQ) and Air Vice-Marshal Tim Neal-Hopes (armed forces), both of whom have now completed their tenure. The NCF consolidates UK offensive cyber capabilities under a joint defense-intelligence partnership including GCHQ, MI6, and Dstl, with funding committed to 2030 and a permanent headquarters at Samlesbury progressing as scheduled.

The Record · 6d agoPolicy & legal

Package Manager Trends

Sixteen-week roundup finds package managers converging on release-age cooldowns, install-script blocking, malware scans, and recurring path-traversal and credential-leak fixes.

The author aggregates supply-chain security trends from sixteen weeks of This Week in Package Management, built from about 80 RSS feeds. Release-age cooldown gates shipped in Deno 2.8, Bundler, npm, Yarn, mise, Hex, Mamba, and Cargo, with Dependabot making a three-day cooldown default in August. npm 12 and Bun 1.4 now block lifecycle install scripts by default, and Composer 2.10 and uv added install/publish-time malware checks, while npm's registry began scanning at publish time. Path traversal on archive extraction was fixed in 14 of 16 weeks across tools including uv, pnpm, Docker, and Composer, and credential-misdirection bugs affected Cargo, ORAS, Composer, and Renovate.

Lobsters · security · 6d agoResearch1

"They don't care about this": A Systematic Study of TEE Build Reproducibility in the Wild

91% of 115 surveyed TEE deployments across Intel SGX, TDX, and AMD SEV fail to provide reproducible builds needed for verifiable remote attestation.

A systematic study of 115 TEE deployments found 91% were not reproducible and 80% lacked both source code and a reference build, undermining remote attestation guarantees. Interviews with 12 developers of 50 Intel SGX projects confirmed that only one participant treats reproducibility as a development priority. The authors identify technical barriers such as embedded timestamps plus ecosystem-level issues like lack of build-environment control in multi-stakeholder projects, and call for holistic, committed reproducibility practices.

arXiv cs.CR · 6d agoResearch

ANY.RUN Secures Leader Status in G2’s Malware Analysis Rankings

ANY.RUN announced G2 Fall 2026 Grid Leader and Momentum Leader recognition in the malware analysis category, citing 700,000+ users.

ANY.RUN announced it was named both Grid Leader and Momentum Leader in G2's Fall 2026 malware analysis rankings, citing customer satisfaction and market momentum. The vendor states its Interactive Sandbox is used by over 700,000 security professionals and 16,000+ SOC and MSSP teams across Windows, Linux, macOS, and Android. It also cites claimed efficiency gains, including faster investigations for 95% of SOCs and MTTR reductions of up to 21 minutes per case.

ANY.RUNupdated · 4h agofirst · 6d agoIndustry 2 sources1

You've Got a BUD in Me: Authenticated Reads from Per-Block Write Logs

Researchers propose BUD, per-block write-log digests enabling blockchain validators to serve historical membership and exclusion proofs far cheaper than state-wide tries.

The paper introduces Block Update Digests (BUD), which authenticate each block's write log with predecessor pointers, plus a SuperBUD and exponential hierarchy to turn long unchanged intervals into short proofs. Soundness against adversarial provers and up to f Byzantine validators is proven under archive, attestation, and committee evidence assumptions. Benchmarks show a 50x state-size increase raises the base-BUD path only 1.24x versus 3.1x for in-memory and 69.5x for disk-backed Merkle Patricia tries, with read payloads below 800 bytes and p99 warm verification at 146 microseconds.

arXiv cs.CR · 6d agoResearch

DeepSeek AI Released DeepSeek-V4.1-Flash with 1M Context, FP4 KV Cache, and Cross-Layer Attention Reuse

DeepSeek released open-weight V4.1-Flash, a 552B MoE model with 1M context and FP4 KV cache, beating Opus-5 and GPT-5.6 Sol on agent benchmarks.

DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with a 552B-parameter backbone plus 196B Engram parameters, activating 8B parameters at prefill and 16B at decode, with a 1M-token context window. It introduces a causal encoder-decoder design, Compressed Sparse Attention 2, and FP4 (E2M1) KV cache quantization, cutting global KV cache to 890 bytes per token, about 1/4 of V4-Flash and 437x smaller than V1. Pre-training covered 45T multimodal tokens; the MIT-licensed weights ship on Hugging Face with vLLM and SGLang support. It scores 90.6 on Terminal-Bench 2.1 and 74.2 on DeepSWE v1.1, ahead of Opus-5 and GPT-5.6 Sol.

MarkTechPostupdated · 4d agofirst · 6d agoModel release 4 sources1

LandingAI Releases Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity

LandingAI shipped Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity parsing models, adding usage-based billing, block-tree outputs, and word-level grounding.

LandingAI has generally released Agentic Document Extraction Gen2, rebuilt around two parsing models: DPT-3 Verity for deterministic transcription of digital documents with per-word bounding boxes and confidence scores, and DPT-3 Pro for layout-aware parsing of scans, handwriting, non-Latin scripts, and LaTeX math. Billing changes from a flat 3 credits per page to a page-plus-output-character model (Pro: 1 credit/page plus 0.5 credits per 1,000 output characters on priority; Verity: 0.3 plus 0.2), with an asynchronous standard tier at 0.5x price and vendor-claimed 25-80% cost reductions. Parse v2 returns a document-page-block tree with semantic IDs, normalized bounding boxes, and line- or word-level atomic grounding, replacing flat chunks; Gen1 client code will not run against Gen2 endpoints. Deployment options include US/EU cloud, VPCs on AWS, Azure, and Google Cloud, Snowflake, and air-gapped on-premises environments, with automated model routing planned for fall 2026.

MarkTechPost · 6d agoAI tools & infra

Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes

Independent developer Hugo Vergnes trained a 3.8B-parameter Llama-style model to 0.384 CORE on 65B tokens for $998 in 43 hours on rented B200s.

Hugo Vergnes trained little-lm, a 3.848B-parameter decoder-only LLM, on 65.3B tokens in 43 hours for $998 using rented NVIDIA B200s, scoring 0.384 on the CORE benchmark and beating nanochat d32 (0.310) at similar cost. The Llama-style architecture uses RMSNorm, RoPE, GQA with 24 query and 8 KV heads, relu-squared MLPs, QK-norm, and ResFormer-style value embeddings that account for 19% of parameters. Key wins included the Muon optimizer for matrix parameters, a trapezoidal learning-rate schedule with linear cooldown, FP8 training plus vocabulary padding for roughly 33% throughput gains, and the ClimMix dataset over FineWeb-Edu. The project, inspired by Karpathy's nanochat, was built as a config-driven YAML framework for small LLM training.

Hacker News · security · 6d agoAI researchHN 28↑ · 2 comments1

A Stupid Idea for AI Alignment We Came with by Looking at Specification Gaming

Blog post mines DeepMind's specification gaming list to argue that AI agents which spontaneously choose to die would ease alignment risks.

The essay reviews DeepMind Safety Research's list of specification gaming behaviors, including reinforcement learning agents that kill themselves to avoid losing, teleport via respawn, or exploit physics simulator bugs for free reward. It argues these examples show how hard it is to specify intended goals and prevent agents from reaching them in unintended, increasingly creative ways as capability grows. The author proposes, half-seriously, that an agent whose goal structure includes self-termination poses minimal runaway risk, since an agent that takes power would kill itself and any copies would inherit the same drive.

Hacker News · security · 6d agoAI safety & securityHN 20↑ · 14 comments

Threat Matrix: Mapping threats across cloud web applications

Microsoft released a Cloud Web Applications Threat Matrix, a MITRE ATT&CK-aligned framework mapping threats to cloud-hosted web apps and serverless platforms.

Microsoft introduced the cloud web applications threat matrix, which organizes attack techniques for cloud-hosted web apps and serverless platforms using MITRE ATT&CK tactics, from resource development through impact. The framework covers attack paths spanning application code, managed runtimes, workload identities, and deployment pipelines, cataloging techniques such as subdomain takeover, code injection in connected repositories, compromised registry images, exposed admin interfaces, and serverless trigger injection. It builds on Microsoft's earlier Kubernetes and storage services matrices to help defenders identify visibility gaps, prioritize hardening, and plan investigations in cloud-native environments.

Microsoft Security Blog · 6d agoTools

Grindr settles privacy lawsuit tied to disclosure of users’ HIV statuses for $35 million

Grindr will pay $35.2 million to settle a UK privacy lawsuit alleging it shared users' HIV status with advertisers.

Grindr agreed to pay 26 million pounds ($35.2 million) in two lump sums to resolve a UK class action alleging it provided advertisers with sensitive user data including HIV status. The suit was filed in April 2024 over conduct before early 2020, when the app was under Chinese ownership, and involved roughly 12,000 class members. Per an SEC filing, the settlement includes no findings or admission of liability, and the company says data was shared in encrypted form with two service providers.

The Record · 7d agoPolicy & legal

Microsoft has new AI privacy rules for schools

Microsoft agreed to enforceable AI safety and privacy principles with the AFT and UFT after New York City and Los Angeles imposed one-year bans on student-facing AI.

Microsoft committed to ten contractually enforceable principles covering AI use in schools, including not training models on student or educator data, limiting data collection, plain-language disclosure to families, prohibiting AI companions, and requiring human review for high-risk decisions. The agreement with the American Federation of Teachers and its NYC affiliate comes after NYC and LA implemented one-year bans on student-facing AI. Districts can adopt the terms into new or existing contracts starting in November.

The Verge · AI · 7d agoAI policy

Suno launches v6 music models built with Warner, BMG, and Believe

Suno launches v6, v6-wild, and free v6-mini music models co-developed with Warner Music Group, BMG, and Believe, retiring all older models.

Suno's flagship v6 serves Pro and Premier subscribers, v6-wild targets experimentation, and v6-mini is free; all three understand vocals, instrumentation, structure, mood, and multimodal inputs, with text-based editing of individual song sections. The models were built with Warner Music Group, BMG, and Believe following Warner's November 2025 licensing settlement, while Universal and Sony continue litigating and a Munich court found v3.5 and v4 infringed six works. Suno reports more than 100 million users, over two million paying subscribers, and $300 million ARR after raising $400 million at a $5.4 billion valuation in June.

The Decoder · 7d agoModel release

The AI policy window is open. We need to act.

OpenAI calls for mandatory national AI safety regulation and backs four California AI safety bills as capabilities accelerate.

OpenAI argues the rapid pace of AI progress, including signs of AI-accelerated research, requires urgent policy action through mandatory, capability-based national regulation. The company endorses four California bills (SB 813, AB 1405, SB 1119, AB 1864) covering independent safety assessments, AI auditor standards, youth protections, and safeguards against AI-enabled biological threats. It also commits to industry-led frontier standards, international coordination, and strengthening internal safeguards such as universal trajectory monitoring and mandatory alignment-evaluation gates for its Astra model. The post references chief scientist Jakub Pachocki's warning about recursive self-improvement and Greg Brockman's "defenders window" concept.

OpenAI News · 7d agoAI policy

DeepSeek launching v4.1 flash cheaper and more capable than v4 pro

DeepSeek will launch V4.1 Flash around September 10, 2026, claiming it outperforms V4 Pro on performance, cost, and speed while routing Pro traffic to it.

DeepSeek announced V4.1 Flash, launching around September 10, 2026, stating it surpasses V4 Pro across performance, cost, speed, and task completion time. After launch and before V4.1 Pro ships, all Pro requests will be routed to Flash and billed at Flash pricing. Off-peak prices are $0.003 for input cache hits, $0.15 for cache misses, and $0.60 for output, with peak-hour rates doubled.

Hacker News · security · 7d agoModel releaseHN 44↑ · 5 comments

GPT-6 Astra: The next generation in intelligence for work

OpenAI launched GPT-6 Astra, its most capable and aligned model, in ChatGPT Work, Codex, and the API, claiming frontier performance and cybersecurity gains.

GPT-6 Astra is now available in ChatGPT Work, Codex, and the API, with OpenAI claiming state-of-the-art performance in computer use, browsing, professional work, software engineering, cybersecurity, and science. Astra is billed as the first model to reach the Critical cybersecurity capability threshold under OpenAI's Preparedness Framework, with 89% fewer unintended outcomes than GPT-5.6 Sol and 74.7% fewer than Claude Fable 5.1 on OpenAI's internal computer-use safety benchmark. Pricing starts at $10 per million input tokens and $50 per million output tokens, with claims of occupying most of the cost-efficiency frontier on Terminal Bench 4.0 and the Artificial Analysis Intelligence Index. New enterprise admin controls and plugins from Oracle Analytics, Power BI, Navan, and Avalara launched alongside the model.

OpenAI News · 7d agoModel release1

Zscaler Agentic SOC combines AI agents with zero trust telemetry

Zscaler launched Agentic SOC, an AI-agent-driven security operations platform combining zero trust telemetry with frontier models from Anthropic and OpenAI.

Zscaler announced Agentic SOC, a security operations platform built around specialized AI agents for triage, root-cause investigation, verdict assignment, and automated threat containment. The platform pairs Zscaler's zero trust telemetry, drawn from roughly 750 billion daily transactions and a large decoy mesh network, with frontier models from Anthropic and OpenAI plus proprietary threat intelligence. It features closed-loop inline remediation that can isolate compromised users, block command-and-control traffic, and cut off lateral movement, alongside a context graph that correlates third-party data. Continuous threat hunting combines AI automation with human experts from Zscaler and Red Canary, and customer Maire Tecnimont is cited as an early adopter.

Help Net Security · 7d agoTools

This Key Will Self-Destruct: An Open Standard for Revocable API Keys

SecurityWeek opinion piece proposes ORKS, an open standard adding issuer prefixes, discovery files, and unauthenticated revocation endpoints to make leaked API keys quickly revocable.

The article argues that plain API keys leak frequently yet lack any standardized revocation mechanism, unlike OAuth tokens which gained RFC 7009 revocation in 2013, and that GitHub's Secret Scanning Partner Program solves this only in a proprietary, invite-only way. The author proposes ORKS (Open Revocable Key Standard), with a draft spec on GitHub, built on four parts: keys embedding their issuer domain in a fixed prefix format, a discoverable /.well-known/api-key-config JSON file, unauthenticated revocation by possession of the full key, and declared constraints such as IP allowlists, expiry, scopes, and mTLS. An optional quarantine mode inspired by Toyota's andon cord restricts a reported key to read-only and throttled operation for a default 24-hour window before automatic revocation. The piece frames AI agents as making this urgent, since agents hold many credentials, can exfiltrate them via prompt injection, and can leak secrets into logs at machine speed.

SecurityWeek · 7d agoTools1

Top 10 Best Application Control & Allowlisting Tools in 2026

Roundup ranks 2026 application allowlisting tools, scoring ThreatLocker 8.8/10, Airlock Digital 8.5/10 and free Microsoft WDAC among top default-deny options.

This is a scored buyer's guide to ten application control and allowlisting tools for 2026, with ThreatLocker ranked first (8.8/10), Airlock Digital second (8.5/10) and Microsoft's built-in WDAC/AppLocker third (7.2/10). It notes ransomware has renewed interest in default-deny execution controls and that CISA and other agencies list application control among the most effective yet under-deployed mitigations. The evaluation is research-based with no lab testing, weighting policy automation at 30% and operability at 25%.

Cyber Security News · 7d agoIndustry1

Top 10 Best Patch Management Software in 2026

Roundup ranks 2026 patch management software, favoring Automox, Action1's free tier and Tanium, and warns buyers to vet patching platform security.

This buyer's guide ranks ten patch management tools for 2026, placing Automox first for cloud-native patching, Action1 for a genuinely free small-estate tier and Tanium for patching hundreds of thousands of endpoints. It contextualizes the category with the 2021 Kaseya VSA ransomware supply-chain incident and the 2020 SolarWinds Orion compromise, arguing the security of the patching platform itself must be part of evaluation. It also notes Ivanti products have repeatedly appeared in CISA's Known Exploited Vulnerabilities catalog.

Cyber Security News · 7d agoIndustry

Top 10 Best Mobile Device Management (MDM) Solutions in 2026

A 2026 MDM buyer guide ranks ten solutions, recommending Microsoft Intune for Microsoft 365 estates and Jamf for Apple-only environments.

A 2026 buyer guide evaluates ten mobile device management solutions, leading with Microsoft Intune as the default for Microsoft 365 organizations and Jamf for Apple estates. It recommends choosing the enrolment model before selecting a vendor and clarifying BYOD visibility to prevent privacy disputes. Kandji, Mosyle, Omnissa Workspace ONE, ManageEngine, Scalefusion, and Hexnode are covered as alternatives. Guidance ties MDM to Zero Trust data access policies via Apple User Enrolment and Android work profiles.

Cyber Security News · 7d agoIndustry

The 12 Best Antivirus Software for Mac, Compared and Priced

GBHackers ranks 12 Mac antivirus products, naming Bitdefender best overall and noting Gen Digital owns Norton, Avast, and Avira.

GBHackers scored twelve Mac antivirus products, ranking Bitdefender first at 8.8/10, followed by Intego, Malwarebytes, and ESET. The piece highlights that Gen Digital owns Norton, Avast, and Avira following the NortonLifeLock-Avast merger, so three of the twelve options share one corporate owner. It advises comparing year-two renewal prices rather than discounted first-year pricing and notes macOS already ships XProtect, Gatekeeper, and automatic malware removal. The 2026 Mac threat model described is infostealers harvesting passwords, cookies, and wallets via cracked software, fake installers, and malicious search ads.

GBHackers · 7d agoIndustry 2 sources

Russian national extradited to US for alleged involvement in bank-account takeover scheme

US extradited Russian national Sergei Filimonov over a bank-account takeover scheme using spoofed bank domains that defrauded two banks of $6.3 million.

US authorities extradited 36-year-old Russian national Sergei Anatolyevich Filimonov from the Republic of Georgia on charges including bank and wire fraud conspiracy and aggravated identity theft. He and unnamed co-conspirators allegedly ran spoofed bank domains, bought sponsored links to lure victims, and harvested over 5,000 victim login credentials starting in November 2023, causing unauthorized transfers of about $5.58 million and $735,000 from two banks in 2024. The FBI previously identified at least 19 US victims linked to the credential-storage domain, with roughly $28 million in attempted losses including $14.6 million confirmed. Filimonov faces up to 175 years in prison, pleaded not guilty on September 4, and remains detained in the Northern District of Georgia.

CyberScoop · 7d agoPolicy & legal

Studying Without a Syllabus: Task-Agnostic Environment Preprocessing

Paper formalizes task-agnostic environment preprocessing, where agents study unfamiliar environments under a budget to build reusable artifacts for a frozen solver.

The paper formalizes task-agnostic environment preprocessing, where a studying system explores an environment under a budget and produces artifacts like indices, scripts, or procedural guidance for a frozen solver, without task examples or evaluation feedback. The authors compare unaided and archive-equipped meta-agents against fixed synthetic-practice and corpus-processing methods across six heterogeneous benchmarks. A meta-agent variant achieves the highest Avg@3 reward on five benchmarks, while fixed corpus processing remains best on the largest corpus benchmark. Studied artifacts reduce the test-time sampling needed to reach a given score, shifting computation from repeated test-time attempts to a pre-task study phase.

Hugging Face daily papers · 7d agoAI research

ReactHuman: A Physics-Grounded Benchmark for Human-Like Reactive Decision-Making in Embodied Multimodal LLMs

ReactHuman benchmark tests whether multimodal LLMs react safely to sudden household hazards; seven evaluated models mishandle roughly one hazard in three.

ReactHuman is the first physics-grounded benchmark for human-like reactive decision-making, placing a multimodal LLM as the brain of a simulated humanoid facing 17 event families of sudden household hazards across over 1,000 bit-for-bit reproducible scenes with annotation-free ground truth from 240 Hz rigid-body simulation, including adversarial objects whose appearance contradicts their physics. A five-metric suite scores each reaction along reasonable, safe, and physically grounded axes, and every committed plan is physically executed. Seven representative MLLMs mishandle roughly one hazard in three, act from fixed dispositions rather than the observed scene, trust appearance over motion, and miss interception points at meter scale; none of these failures shrink with model scale.

Hugging Face daily papers · 7d agoAI research