Smart search ranks by meaning as well as keywords (one row per story, last 45 days).
AP automation firm Stampli used OpenAI Codex and ChatGPT Work to cut product launch production hours by 68%.
Stampli, an accounts-payable automation company, compressed weeks of launch production into days using Codex and ChatGPT Work. Facing a fixed deadline with design resources committed elsewhere, the team reported a 68% reduction in launch hours. The piece is an OpenAI customer adoption case study.
Meta launches Startup School, a three-month program giving 200 early-stage consumer startups training and mentorship from venture capital firms and industry experts.
Meta announced Meta Startup School, a three-month programme designed to help early-stage consumer brands accelerate growth. The first cohort will include 200 startups receiving exclusive support and training from venture capital firms and industry experts. The initiative is a business-ecosystem program rather than a security or AI research announcement.
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.
Game studio Playco used OpenAI's GPT-6 Astra to build three game prototypes, reporting 50% fewer manual fixes than with the previous model.
Playco, a game development company, used OpenAI's GPT-6 Astra model to generate three themed game prototypes from a single grey-box foundation. The company reports the new model cut manual fixes by 50% compared to its previous model workflow. The piece is an OpenAI-published customer story highlighting Astra's use in game prototyping.
ANY.RUN published a buyer's guide for enterprise threat intelligence platforms, outlining evaluation criteria and promoting its own TI products.
ANY.RUN, whose sandbox, TI Lookup, and TI Feeds products are featured throughout, published guidance for selecting an enterprise threat intelligence provider. The guide recommends defining SOC or MSSP requirements first, then weighing intelligence quality and freshness, integrations including STIX/TAXII support, privacy, scalability, and proof-of-concept testing with real alerts. It emphasizes context and enrichment over raw data volume, citing figures such as TI Lookup results in about 2 seconds and 99% validated IOCs in its feeds.
Paper proposes Generative Marketing Mix Modeling to causally estimate Generative Engine Optimization and Marketing effects on business outcomes.
The authors develop GMMM, a causal inference framework for measuring how often users see and notice a firm's name in generated answers, which standard marketing data ignore. For GEO it combines repeated generated answers with question counts, shares of generative-system usage and notice probabilities; for GEM it uses sponsored placement records with notice probabilities. The framework compares expected business responses under alternative treatment sequences, establishes identification conditions, and is evaluated on simulated product-recommendation answers in English and Japanese.
Target-owned delivery platform Shipt launched Ask Shipt, an AI shopping assistant that turns prompts and dish photos into ready-to-buy carts.
Shipt, the same-day delivery platform owned by Target, announced Ask Shipt, an AI assistant that converts text prompts, budget constraints, and uploaded dish photos into customized shopping carts. It follows similar 2026 launches from Instacart (Clementine), Uber Eats, and DoorDash. Target.com has separately added AI features such as photo search and review summaries. The tool is available now in the Shipt app and on Shipt.com.
OpenAI case study says ATV Big Air Tour used ChatGPT Work to cut marketing and merchandising tasks from days to hours.
OpenAI published a customer story describing how ATV Big Air Tour uses ChatGPT Work to accelerate marketing, merchandising, and related business workflows. The organization reportedly turned merchandise photos into an inventory website in 15 minutes, compressing three days of work into three hours.
Sansec found attackers exploiting an Adobe Commerce/Magento zero-day (StyleSmuggler) since September 4 to deploy Rust backdoors on online stores.
Threat actors are actively exploiting a zero-day RCE in Adobe Commerce and Magento 2.4.7-2.4.9, injecting PHP code via generated failure reports and executing it through Magento's payment-failure email, with no user interaction required. Exploitation began September 4 and succeeds even against stores running the July and August 2026 patches; the Rust backdoor disguises itself as kworker/u:8:0 or fc-cache and hides C&C communication inside fake NTP replies. Adobe's September 8 Patch Tuesday updates may not include a StyleSmuggler fix.
Shopify is dropping React Native for separate Swift and Kotlin native apps, saying AI agents now handle cross-platform implementation work.
Shopify adopted React Native in 2020 to stop building features twice, let developers work across the stack, and spend less time chasing feature parity. The company now plans to return to separate Swift and Kotlin codebases. Simon Willison's commentary notes AI agents can do enough implementation, translation, testing, and review work that dual native codebases are viable again.
Proofpoint reports four nation-state actors, mostly China-nexus, adopted the BlueMoon Chrome and Windows zero-day exploit kit within 12 days, targeting US organizations.
Proofpoint tracked an exploit kit dubbed BlueMoon that chains CVE-2026-85046, a Chrome V8 type-confusion bug, with an unnamed V8 sandbox escape and CVE-2026-85880, a Windows kernel privilege escalation using ALPC and the Windows Notification Facility. The first observed use was by China-nexus TA412 (APT31, Violet Typhoon, JungleBamboo) on August 28, 2026 against US NGOs, mining companies, and commodity trading firms, followed by UNK_LateNight targeting US aerospace and defense companies on September 2. Both V8 bugs were patch-gap zero-days: the fix was committed to Chromium on August 7 but reached stable Chrome on September 3, enabling rapid weaponization from public patches. TA412's post-exploitation payload, GemStone, is a malicious browser extension posing as an AI-powered Google Gemini companion that captures keystrokes, cookies, screenshots, and browsing history via a Cloudflare Worker C2.
Check Point details an Operation Dream Job wave using trojanized PDF viewers to hit defense, aerospace, and aviation targets since early 2026.
Since early 2026, Check Point Research has tracked a wave of the Operation Dream Job campaign primarily targeting the global defense sector, with emphasis on aerospace and aviation companies. The threat actor distributes modified PDF viewers that execute malicious payloads embedded in specially crafted files, delivered under fake job-offer pretexts. Check Point characterizes the operation as a zero-day attack.
N0va phishkit targets US and EU organizations with trusted-brand lures, capturing tokens via legitimate authentication flows to gain SSO access to corporate resources.
The N0va phishing kit targets organizations in government, technology, consulting, and healthcare across North America and Europe with lures impersonating Microsoft Teams, SharePoint, OneDrive, DocuSign, Google Drive, Dropbox, Zoom, and Adobe Sign. Victims are guided through legitimate authentication flows, including device code phishing, after which N0va captures access and refresh tokens and abuses token-exchange or device-registration mechanisms to establish SSO access. ANY.RUN tracks the campaign via a characteristic /api/verification/init URL pattern and demonstrates detection in its interactive sandbox.
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.
Iceland-based startup Treble raised an $18 million Series A extension to expand its acoustic simulation and synthetic data platform for voice AI companies.
Treble, founded in 2020 by acoustic engineers Finnur Pind and Jesper Pedersen, raised $18 million in a Series A extension led by Paladin Capital Group, bringing total funding above $40 million. The company builds physics-based acoustic simulation for synthetic speech data generation, voice AI model evaluation, and virtual prototyping of headphones, speakers, and smart glasses. Customers include Amazon and Logitech, and it partnered with Hugging Face earlier this year on a benchmark for speech recognition models under realistic conditions.
IdeaAMBIG benchmark with 660 instances measures whether LLMs can spot and fix underspecified research-method details for faithful implementation.
Researchers introduce IdeaAMBIG, a benchmark of 660 evidence-grounded instances (163 real-world gaps from reproducibility reports and GitHub issues, 497 controlled synthetic gaps) built from papers, codebases, and reproduction artifacts. It evaluates codification-readiness assessment, defect localization, and clarification action generation. Across 13 LLMs, the best model achieved only 9.6% Macro Defect Recovery Rate on real-world instances but 80.6% clarification success when given the annotated defect. An oracle study showed gold resolutions raise the codification-ready rate from 14% to 98%, identifying defect localization as the main bottleneck.
Hugging Face published a guide on wiring, running, and deploying AI workflows in the Gradio framework.
Hugging Face's blog post 'Wire It, Run It, Deploy It: AI Workflows in Gradio' is a tutorial on building AI workflows with Gradio. It covers wiring components, running applications, and deploying AI-powered apps. No security incident or vulnerability content is included.
IdeaAMBIG benchmark of 660 specification-gap instances shows LLMs localize implementation-critical research gaps poorly, with best model at 9.6% defect recovery.
IdeaAMBIG is a benchmark of 660 evidence-grounded instances evaluating whether research-method specifications provide enough information for faithful implementation: 163 real-world gaps from reproducibility reports and GitHub issues plus 497 controlled synthetic gaps. It tests codification-readiness assessment, defect localization, and clarification action generation across 13 LLMs. The best model achieves only a 9.6% Macro Defect Recovery Rate on real-world instances, though 80.6% clarification success when given the annotated defect, and an oracle study shows gold resolutions raise codification-ready rates from 14% to 98%. Defect localization emerges as the main bottleneck across all evaluated models.
ANY.RUN promotes its Threat Intelligence platform for turning scattered malware and phishing indicators into proactive enterprise threat hunting workflows.
ANY.RUN published a vendor blog post describing how its Threat Intelligence product helps analysts consolidate endless alerts, indicators, behavioral evidence and infrastructure context. The post frames threat intelligence as a way to move from raw data collection to proactive protection against malware and phishing. No new threat activity, malware family or vulnerability is disclosed.
OpenAI's GPT-6 Astra launch hit access problems; Sam Altman apologized as availability gradually expanded from Daybreak partners to Pro, Enterprise, and API users.
GPT-6 Astra, launched September 4 as OpenAI's most advanced model, was initially accessible only to organizations enrolled in its Daybreak cybersecurity program, leaving Plus, Pro, Business, Enterprise, and API users waiting. Altman called the rollout 'messy'; by September 5 access had extended to Pro, Enterprise, and Business Premium users in ChatGPT's Work and Codex products plus the API. Analysts from Gartner and Greyhound Research said the staged rollout highlights the gap between announcement and production availability, urging enterprises to verify actual access levels and strengthen governance, security, and cost controls before adopting Astra's autonomous workflows.
CS-Guard benchmark shows LLM code-generation guardrails fail widely, with ~50% jailbreak ASR text-to-code and up to 100% code-to-code.
Researchers introduce CS-Guard, the first systematic benchmark for evaluating LLM guardrails for code generation security, covering text-to-code (1,000 malware-generation prompts, 7 jailbreak attacks, and a novel fictional scenario attack) and code-to-code (331 prompts across infilling, completion, and translation). They evaluate 9 guardrails across seven LLMs, finding average jailbreak attack success rates around 50% for text-to-code and 14.4% to nearly 100% for code-to-code. The fictional scenario attack achieves ASR close to 100% across many guardrails, raising reliability concerns for real-world software development. The benchmark and data are released publicly.
A distillation framework compresses LLM reasoning into a 15.5M-parameter trade-up recommendation model reaching AUC 0.941 with product-type test-time training.
The paper targets trade-up recommendation, which identifies higher-quality alternatives that preserve customer purchase intent. A retrieval-augmented few-shot LLM teacher generates labels and rationales that supervise a compact embedding-pair classifier; at inference the 15.5M-parameter student uses only two precomputed 768-dimensional embeddings with no LLM calls. On 8,352 annotated pairs, label-only training scored AUC 0.912, reasoning distillation reached 0.924, and product-type test-time training lifted it to 0.941 with average precision 0.940. The distilled student is roughly 5,000x faster and 10,000x cheaper than direct LLM inference on a 100K-pair proxy catalog.
Proofpoint reports the BlueMoon exploit kit, chaining two Chrome V8 zero-days and a Windows ALPC bug, being shared across China-linked espionage groups.
Proofpoint identified a new exploit kit, BlueMoon, first observed on August 28 and used by TA412 (APT31/Violet Typhoon) against US NGOs, mining firms, and commodity trading companies. The kit chains a V8 type confusion RCE (CVE-2026-85046), a V8 sandbox escape, and a Windows Advanced Local Procedure Call privilege escalation (CVE-2026-85880), both patched flaws having been exploited in the wild. At least four espionage groups, most with suspected China nexus including UNK_LateNight, adopted the kit within days, targeting US aerospace firms with defense-sector lures. Fewer than 20 organizations were observed targeted, and researchers believe AI-assisted exploit development against upstream Chromium patches enabled the kit's rapid creation and sharing.
ANY.RUN marketing piece argues SOC detection lags rotating malware and phishing infrastructure, citing a 46-country campaign and 3DBlast kit to promote TI feeds.
ANY.RUN describes how malware and phishing campaigns rotate domains and hosting, making single-IOC blocking ineffective for SOC teams. One investigated phishing campaign spanned 46 countries with 425 kit URLs across 240 hosts, 94% of which were seen for only a single day. A phishing kit dubbed 3DBlast impersonates Microsoft 365 and Google using BitB, AiTM, OAuth device-code phishing and DOM relay techniques. The article is primarily a promotion for ANY.RUN TI Feeds and TI Lookup products.
Simon Willison demos a .blend URL viewer built with GPT-6 Astra in Codex and ChatGPT Images 2.5 generating Blender models.
Simon Willison used ChatGPT Images 2.5 to generate a Faberge egg concept image themed after the TV show Pluribus, then had Codex running GPT-6 Astra (high) execute a Blender local skill to build a 3D model from it. He published the result as a .blend URL viewer tool and continues experimenting with agentic Blender workflows. The post is a hands-on demo of AI-driven creative tooling rather than a security or release announcement.
xHunt deployed custom backdoors Hisoka, Killua, Gon, and EYE against Kuwait shipping and transportation organizations, using DNS tunneling and email-draft C2 channels.
Unit 42 observed the xHunt campaign targeting Kuwait transportation and shipping organizations between May and June 2019, installing backdoors named after characters from the anime Hunter x Hunter, including Hisoka, Killua, Sakabota, and Netero. The tools use HTTP and DNS tunneling for C2, and Hisoka v0.9 added an unusual email-based C2 channel that abuses Exchange Web Services with stolen credentials to exchange email drafts. The Gon tool provides port scanning, file transfer, screenshots, remote command execution, and RDP session creation, while EYE acts as a cleanup failsafe if a legitimate user logs in. Related activity targeting Kuwait between July and December 2018 was reported by IBM X-Force IRIS, suggesting the campaigns are likely related.
A security audit found an internet-exposed staging environment connected to live customer data, lacking production-grade authentication and access controls.
The Register's PWNED column recounts how Richard Schut, now of SmartRepl, discovered during a pre-cloud-migration audit that a mid-size company's test environment was externally accessible and wired to a database with live customer information. The staging instance, created for a short-term demo and migration testing, remained running for six months without production authentication. Access was restricted after discovery and the team reviewed all other test environments.
Huntress outlines endpoint hardening best practices, citing exposed RDP, RMM tool abuse, and ClickFix social engineering as common SMB intrusion paths.
Huntress published defensive guidance on endpoint hardening for small and mid-sized businesses, drawing on observations from its SOC. The post describes common intrusion vectors: internet-exposed RDP brute-forced by automated scanners, phishing emails delivering attacker-controlled remote monitoring and management (RMM) tools, with Huntress reporting a 277% spike in RMM abuse in 2025, and ClickFix attacks using fake CAPTCHA pages that trick users into running malicious commands. Recommended controls include scanning for exposed RDP, SSH, and VPN interfaces, removing unneeded local admin rights, enabling Windows Defender tamper protection, disabling SMBv1, and standardizing on one approved remote access tool, guided by CIS and NIST frameworks.
Tenable's CSO describes an AI-driven exposure management program that consolidates tool sprawl and translates cyber risk for boards.
A Tenable blog post shares lessons from CSO Robert Huber on moving to an AI-driven exposure management program. It argues tool sprawl and data silos hinder holistic risk assessment and that exposure management unifies attack-surface data into business-level metrics for the C-suite.
StyleSmuggler zero-day in Magento and Adobe Commerce is actively exploited in the wild to deploy a Rust-based Linux backdoor; fix not yet released.
A zero-day dubbed StyleSmuggler affecting all versions of Magento and Adobe Commerce is being actively exploited, with the first observed incident on September 4 on a fully patched site. The exploit injects PHP code via Magento's template system through a fake 'failed-payment' email to achieve code execution, installing a Rust-based backdoor disguised as kworker/u:8:0 or fc-cache with a 30-minute cron job for persistence. The backdoor communicates via TLS/WebSockets or UDP port 123 masquerading as NTP traffic, checks TracerPid to detect tracing, and can receive remote commands. Adobe confirmed it is working on a fix with no timeline; Sansec recommends disabling GraphQL as mitigation and monitoring for suspicious cron entries and kworker or fc-cache processes. Magento is installed on more than 160,000 websites, including 14,000 of the top 1 million sites.