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Ceva Logistics suffers a supply chain attack and data breach with a large blast radius impacting European clients.
Ceva Logistics, a major global logistics provider, suffered a data breach impacting its European clients. The incident appears to be a supply chain attack with a large potential blast radius affecting downstream customers. Details on compromised data volumes and the initial intrusion vector remain limited.
Cyberattack on CEVA Logistics disrupted eight European warehouses and exposed customer data of clients including Valve, Ajax, and De Bijenkorf.
CEVA Logistics, part of CMA CGM Group, suffered a July 29 cyberattack that disrupted eight European warehouses and halted shipments of stored goods. Customer data linked to Valve, Ajax, and Dutch retailer De Bijenkorf was exposed, potentially including names, contact details, and online order information; Valve said payment details and passwords were not accessed. No ransomware group has claimed responsibility and the company has not disclosed technical details. A database containing customer lists, shipping records, and banking details was reportedly later offered for sale on a dark web marketplace.
Cyberattack on Ceva Logistics disrupted eight European warehouses, delaying shipments for Bol, De Bijenkorf, Ajax and exposing Steam hardware buyers' data.
A cyberattack on Ceva Logistics disrupted operations at eight European warehouses, delaying shipments for Bol, De Bijenkorf, Ace & Tate, Ajax and Steam hardware customers. Attackers accessed two Ceva systems processing Bol orders, potentially exposing names, addresses, phone numbers, email addresses and order details. Valve began notifying European Steam customers whose hardware shipping data may have been compromised and is contacting data protection authorities. Ceva, with about 110,000 employees and over 1,700 facilities, has not disclosed the attackers or whether ransomware was involved.
Researchers introduce Procedural Graphs, self-evolving (procedure, relation, procedure) structures guiding LLM agent tool use and planning.
Procedural Graphs organize procedural knowledge into (procedure, relation, procedure) triplets to guide LLM agent actions, addressing drift such as lost objectives, out-of-order tool calls, and repeated unproductive steps. At each decision step the framework localizes the active node and a guidance model translates the surrounding subgraph into step-level situational guidance. An LLM refiner edits graph topology by contrasting failed with successful trajectories, and across datasets, task types and LLMs the approach outperforms memory-based baselines and matches or surpasses hand-designed graphs.
Recorded Future essay traces AI's supply chain from minerals and chips to embodied AI, mapping geopolitical rivalry and cyber operations at every stage.
Recorded Future published an analysis following the supply chain of the fourth industrial revolution: minerals become chips, chips become data centers, and data centers become models that are acquiring physical capabilities. It argues geopolitical rivalry and cyber operations now run along every link, from mine to embodied AI machines.
ETSI releases 17 draft cybersecurity standards vendors must meet when the EU Cyber Resilience Act takes effect in December 2027.
The European Telecommunications Standards Institute published 17 interim draft standards covering operating systems, routers, firewalls, VPNs, SIEMs, browsers, password managers, smart home devices, toys and wearables. They mandate basic security features such as post-sale updates, shipped SBOMs, modern cryptography and secure-by-default settings; public comments run until November, with final versions expected in December, one year before CRA compliance begins in December 2027. The newsletter also reports Irregular taking responsibility for AI test-environment escapes involving Anthropic and Meta frontier models, a breach at France's tax agency exposing 678,000+ citizens' data claimed by hacker ZeroBytes, and Kazakhstan eGov data covering 15 million citizens listed for sale on an underground forum. Additional briefs cover a $3.2 million Harmony Protocol theft crashing the ONE token 40%, Columbus Police still restoring systems two years after ransomware, DDoS attacks on Threema's provider, and Ukraine's GUR claiming a cyberattack on Wildberries.
Unit 42 clusters behavior of 40,000+ AWS identities from 125 cloud environments to map functional roles and enable lightweight SQL-based detection.
Palo Alto Unit 42 built an unsupervised behavioral clustering model using UMAP and HDBSCAN on AWS CloudTrail logs to map cloud identities to functional roles such as administrators, backup services, security tooling and DevOps. The study analyzed over 40,000 identities across 125 cloud environments over two months. The researchers show that heuristics extracted from the clustering map can be implemented in standard SQL, enabling role classification at scale without running a continuous ML pipeline. The methodology extends to audit logs from other cloud providers, SaaS and Kubernetes.
EY's Jeffrey Sallet argues AI-driven deepfakes and impersonation require integrating cybersecurity, physical security, HR and legal functions.
The opinion piece contends AI-powered impersonation, deepfakes and automated social engineering cross digital, physical and operational boundaries that siloed security programs cannot cover. It cites an EY survey of 250 corporate leaders where only 12% feel most prepared to detect a targeted physical attack, and describes transnational groups using deepfakes and stolen identities to bypass virtual HR hiring loops. The author urges unified cross-functional verification pipelines and shared threat intelligence between CISOs and chief security officers.
PlannerForge unifies scenario-based testing of autonomous driving motion planners in one LLM-agent framework, outperforming prior baselines.
PlannerForge is an LLM-agent framework that covers the full scenario-based testing pipeline for autonomous driving systems, spanning scenario generation, selection, modification, routing, planner testing, plus new enhancement and benchmarking stages. In evaluations with 10 off-the-shelf LLMs, best-per-task scores range from 0.88 to 1.00, and open-source 20-35B backends such as Qwen3.6:35B match commercial APIs on most tasks. End-to-end chaining retains 83% (commercial) and 78% (open) of seed queries, beats Scenario Factory 2.0 on executable generation, and cost-tuning lifts planner success from 50.4% to 70.2% while cutting collisions from 19.0% to 8.4%.
NVIDIA positions AI factories combining chips, networking, power and data as the defining infrastructure of the AI economy needing full-stack security.
NVIDIA's blog argues that AI factories are the defining infrastructure of the AI era, transforming energy and data into intelligence that powers businesses and countries. It frames compute as revenue and lists the full stack of critical resources required: advanced chips, packaging, memory, networking, land and power. The piece is a corporate positioning article about securing this infrastructure, with no specific incident or product announcement detailed in the excerpt.
Quantile-k-Loss SGD filters corrupted component losses by quantile sampling, proving linear convergence while outperforming standard and min-k-loss SGD.
The paper proposes Quantile-k-Loss SGD (Q(k)L-SGD), a loss-filtering framework for finite-sum optimization with corrupted components that samples k losses per iteration and updates using an index from the lower empirical q-quantile. The authors prove linear convergence under standard convexity, requiring sample size to scale with the number of corruptions, plus a complementary small-sample probabilistic analysis. Experiments on polynomial regression, regularized logistic regression, and hinge loss show intermediate quantiles often outperform both standard SGD and min-k-loss SGD.
Systematic review of 66 studies finds LLMs for HVAC operations are mostly research-stage, with no ready-now deployment and only four pilot-level studies.
A critical review of 66 peer-reviewed studies from 2023 to March 2026 examines LLMs for HVAC operations in building energy systems. Only four studies reach pilot-level evidence, none reports sustained operational deployment, and 63 of 66 are research-only. Conventional ML, MPC, and RL remain dominant for high-frequency control and short-horizon forecasting, and the evidence supports LLMs primarily as semantic and workflow layers rather than autonomous controllers.
Apollo Global Management confirmed a breach of cloud platforms by BlackFile-linked social engineering attackers, exposing personal data including Social Security numbers.
Apollo Global Management disclosed that attackers accessed some of its cloud platforms between July 6 and July 10, 2026. The company determined on August 12 that compromised data included names, dates of birth, contact information, home addresses, and Social Security numbers. Google attributed the broader campaign against financial sector organizations to BlackFile, a threat group affiliated with The Com that operates extortion brands Redact, Pink, Helix, and Falcon. Apollo, which manages $1.05 trillion in assets, is the first victim to formally confirm sensitive personal data was compromised in this wave, with Blackstone and Bain Capital also reportedly targeted.
Matt Pocock released the /wayfinder skill, an orchestrator layer that manages planning sessions, maps, and tickets for AFK coding agents.
Latent Space interviews Matt Pocock, whose AI Skills for Real Engineers project has 220,000+ GitHub stars, about his new /wayfinder skill. The skill manages agent context during ambiguous planning by splitting work into grilling, prototype, research, and task tickets organized under a shared map, enabling overnight AFK agent runs. It uses deliberate terminology like map, ticket, and session to steer agent behavior, and was tested on projects including a personal website rearchitecture.
BlackFile (UNC6671), a The Com-linked extortion crew, keeps hitting financial and med tech firms with voice-phishing IT-support scams and ~$3 million demands.
Google Threat Intelligence Group (tracking BlackFile as UNC6671, linked to The Com) reports the extortion group remains active, shifting focus to the financial sector and med tech organizations, with new Redact-brand extortion demands issued last week. The group impersonates IT support in voice-phishing attacks using hundreds of recruited callers, targets large firms in what researchers call big-game hunting, and processes an average of 1.5 new victims daily. Extortion demands start around $3 million and are typically negotiated below $1 million; Flashpoint observed infrastructure targeting Blackstone, Bain Capital, Moody's, CME, and Apollo, though compromise is unconfirmed. Mandiant has responded to more than two dozen BlackFile compromises since January, and victims face escalation tactics including swatting.
MIT Technology Review reports on China's humanoid robot industry push and embodied AI strategy from a Shanghai event.
A dispatch from a Shanghai humanoid robot 'carnival' describes China's push into embodied AI, embedding artificial intelligence into physical systems. Embodied AI is a key facet of China's latest five-year plan, and Chinese companies are already world leaders in humanoid robots. Nearly 90% of the market discussion centers on domestic adoption of the machines.
Microsoft warns of a multi-sector campaign using counterfeit download sites for Edge, Kaspersky and Razer to deliver trojanized installers with persistent implants.
Microsoft Defender Experts tracked a campaign breaching organizations in healthcare, manufacturing, gaming, technology, logistics, government, and education via spoofed vendor download pages, often using .com.cn and .hl.cn domains. Installers keep the same filename while their hash changes on every download, indicating server-side payload generation that defeats file-based detection. The chain abuses msiexec.exe and scheduled tasks for persistence, adds Defender exclusions, deletes shadow copies, and disables Windows Update, with some hands-on-keyboard activity. The activity is consistent with the publicly reported Silver Fox (Yinhu) campaign, though Microsoft has not attributed it to a nation-state actor.
DBTM achieves one-step text generation via a time-independent transport map trained directly from data, removing pretrained teacher distillation.
Discrete Beckmann Transport Models (DBTM) build a time-independent flow whose autonomous transport map provably carries any point in ambient space to a fixed point on simplex vertices in a single step. The fixed-point property is characterized by a conservation equation whose residual can be minimized directly from data, eliminating the need for a teacher flow, distillation, and time conditioning. A partial-context interpolant extension turns additional function evaluations into refinement steps rather than ODE integration steps. On language modeling and reasoning tasks, DBTM's one- and few-step generation improves quality and accuracy over discrete diffusion and continuous flow baselines.
OpenAI released its Agents API in public beta, exposing the managed Codex harness with hosted or self-hosted sandboxes, MCP tools, and subagents.
The Agents API is a managed service built on the open-source Codex harness, handling context compaction, tool search, programmatic tool calling, and multi-agent orchestration. Agents run in OpenAI-hosted sandboxes, self-hosted environments, or partner sandboxes from Blaxel, Cloudflare, Daytona, DigitalOcean, E2B, Modal, Oracle, Runloop, and Vercel. Data residency is US-only and Zero Data Retention is unsupported. Examples use model gpt-6-astra; vendor-reported results include SafetyKit cutting case review cost 60% and Ciridae achieving 4x lower subagent latency.
MetroLLM-Bench is a 955-case benchmark testing language models as transit kiosk tool-calling runtimes across six real metro systems.
The benchmark covers 37-414-station metro systems and eleven task categories including routing, fare calculation, disruptions, accessibility, and adversarial input, with 14 deterministic and 8 semantic scoring components. Of 26 models from six vendors, a PEFT-tuned 4B Qwen 3.5 student scored 91.3 on Tier 1, exceeding GPT-5.6 (90.6/90.0), while Muse Glimmer 30B led the composite ranking. A deterministic rule-based baseline reached 84.6, and PEFT gains over base models shrank from +7.03 points at 2B to -0.91 at 27B.
Trezor disclosed the ShipMonk breach exposed data of 67,000 additional US customers, reportedly by ShinyHunters exploiting a Metabase zero-day SQL injection, CVE-2026-72898.
Trezor disclosed that a breach at shipping provider ShipMonk exposed names, email addresses, phone numbers, shipping addresses, and order numbers of 67,000 additional US customers, with orders dating November 2019 to August 2021 despite written assurances the data had been deleted. This adds to the 13,689 customers previously disclosed after ShipMonk informed Trezor of unauthorized access on August 10, 2026. According to Holborn, the ShinyHunters extortion gang is behind the breach, which began with zero-day exploitation of CVE-2026-72898 (CVSS 10.0), a critical SQL injection flaw in Metaboobase analytics software Metabase. Trezor says hardware wallet security is unaffected but warns customers to watch for phishing and social engineering; ShipMonk has not publicly acknowledged the incident.
Procedural Graph framework stores procedural knowledge as triplets and self-evolves via LLM refinement, beating memory-based baselines across datasets, tasks, and LLMs.
The Procedural Graph organizes procedural knowledge into (procedure, relation, procedure) triplets; at each decision step the framework localizes the agent's active node and a guidance model translates the surrounding subgraph into step-level guidance that biases the solver's next action. An LLM refiner contrasts failed with successful trajectories and edits the graph's topology and attributes, retaining rejected edits to discourage repetition. Starting from a minimal skeleton, the loop builds graphs that match or surpass hand-designed ones and can repair flawed expert priors, delivering consistent gains over memory-based baselines across multiple datasets, task types, and LLMs.
Trezor reported phishing after the Brevo breach targeted 347,000 newsletter subscribers, with 2,500 users clicking before the domain was taken down.
Threat actors who breached Trezor's third-party email provider Brevo on September 9, 2026 sent fake 'critical security alert' emails from [email protected] to 347,000 opted-in newsletter subscribers, claiming an STM32 microcontroller vulnerability exposed wallet seeds. The emails linked to a malicious app that asked users to enter their wallet backup; 2,500 users clicked before Trezor disabled the phishing domain within 20 minutes. Trezor also disclosed that a prior breach via logistics provider ShipMonk, exploited through a critical Metabase SQL injection zero-day, affected 81,000 customers and drew extortion emails from the ShinyHunters gang.
PACE cuts perceived latency in retrieval-augmented dialogue serving via cascading routing and filler control, reaching 0.41s P95 under load.
PACE is a serving framework for retrieval-augmented dialogue that optimizes Perceived Time-to-First-Response (PTFR) under quality and cost constraints. It combines a load-adaptive cascading router, a joint path-filler controller, and volatility-aware cache admission, deployed on a humanoid-robot sales service. On 75k CarQA requests, the cascade halved pure-LLM P95 PTFR (0.29s vs 0.53s) and the adaptive controller reached 0.41s P95, 2.4x better than RAG at high load; filler calls dropped 94% and stale answers fell from 86% to 0%.
Weekly Security Affairs newsletter roundup aggregating top cybercrime, malware, APT and AI security stories including ExfilSquad, Kimwolf v7 and Kimsuky AI use.
This is the Round 590 weekly newsletter from Security Affairs, linking to the week's major stories rather than reporting a single incident. Headlines include ExfilSquad extortion, a 7.3M chess.com record leak, Kimwolf botnet v7, SharePoint exploitation after a public PoC, Kimsuky integrating AI, and China-linked autonomous-style attacks. It is a digest and promotional item with no standalone technical details.
Checkmarx argues regulators now expect organizations to maintain an AI inventory as AI-generated code and outputs enter security workflows.
Checkmarx contends that implicit trust in AI-generated code, AI summaries, and scanner output has become a governance liability that regulators no longer accept. The piece argues security teams must formalize AI inventories and treat AI outputs as untrusted inputs. It frames AI governance as an emerging compliance expectation rather than an internal maturity project.
Head Mare exploits TrueConf server flaws to install web shells and deliver PhantomCore and PhantomGraph backdoors at Russian organizations.
Kaspersky detected July 2026 attacks by the threat actor Head Mare exploiting a vulnerability chain (KLCERT-26-057 and KLCERT-26-058) in unpatched TrueConf videoconferencing servers. The chain enables arbitrary code execution with SYSTEM privileges, deployment of a web shell at locale.php, and replacement of client installers with versions delivering the PhantomCore backdoor and PhantomGraph, which uses Microsoft OneDrive as C2. Targets span Russian instrumentation, electronics, transport, energy, IT, and software firms. Patches shipped in TrueConf Server 5.3.9, 5.4.9, and 5.5.5 on June 18, 2026.
Meta is testing robots to perform technician tasks in its data centers, advancing automation of AI infrastructure operations.
Meta is testing robots to perform tasks currently done by human technicians in its data centers. The push signals ambitions to automate AI infrastructure operations at scale. The excerpt provides no details on robot suppliers, deployment scale, or timelines.
Fake software-download sites distribute installers that disable Windows Update and weaken Defender, attributed to China-linked cluster Silver Fox.
Microsoft says an active campaign uses counterfeit vendor websites on .com.cn and .hl.cn infrastructure with Chinese-language lures to deliver server-side generated installers that establish scheduled-task persistence, add Defender exclusions, delete shadow copies, and stop services including wuauserv, UsoSvc, uhssvc and WaaSMedicSvc. Victims span healthcare, manufacturing, gaming, technology, logistics, government and education, primarily China-based operations of multinationals and Chinese-speaking users. Microsoft assesses with moderate confidence the activity matches the Silver Fox (Yinhu) cluster, historically tied to Gh0st RAT and ValleyRAT, with C2 over non-standard ports like 5090 and 7088-7090 via domains iualef[.]net and oijfwe[.]net. Kaspersky separately detailed a QN Wallpaper DLL-sideloading chain delivering ValleyRAT.
Hugging Face, Strands Agents, and LeRobot integrate with Storage Buckets for a unified record-train-deploy robotics data workflow.
Hugging Face announced an integrated robotics workflow combining LeRobot, Amazon's Strands Agents, and Hugging Face Storage Buckets. The setup lets developers record robot data, stream it in a data loop, train models, and deploy agents from a single place. No article body was available, so details beyond the title are limited.
Latent Space essay argues late-2025 agent gains came from models and harnesses maturing together, with harness logic absorbed into model weights.
The piece defines the agent harness as everything beyond model weights—tools, context, memory, guardrails—and charts its evolution from ReAct prompting (October 2022) through AutoGPT's premature autonomy, Cursor/Copilot's human-in-the-loop retreat, and Devin's roughly 15% success rate, to o1's capability overhang and Claude Code's February 2025 terminal agent with permission rules. It argues the Christmas 2025 jump cited by Transformer co-inventor Lukasz Kaiser reflected model and harness curves crossing, and that remaining harnesses will serve human attention rather than the model.
Researchers propose a unified cross-ecosystem measurement agenda for software supply chain security, targeting dependency modeling and AI-generated dependency patterns.
The paper argues that existing quantitative measurement and vulnerability management approaches for software supply chain security are fragmented and ecosystem-specific, limiting comparable risk assessments. It lays out a research agenda starting with a Systematization of Knowledge to expose gaps in dependency modeling, transitive dependency treatment, and real-world exploitability of vulnerabilities. It further warns that AI-assisted development with coding LLMs will create dependency patterns not captured by traditional Software Composition Analysis tools, motivating a rethink of dependency modeling.
Russian e-commerce giant Wildberries says a DDoS attack and subsequent security measures delayed seller payments, leaving roughly $240 million unpaid.
Wildberries, one of Russia's largest online marketplaces, said a distributed denial-of-service attack on systems used to track and withdraw seller earnings delayed payments, with funds to be transferred after technical procedures complete. The Russian Union of Marketplace Sellers reported about 20 billion rubles ($240 million) unpaid, and 95.6% of nearly 2,000 surveyed sellers had not received expected payments. Ukraine's military intelligence (HUR) previously claimed an operation with the hacker group Cyber Corps disrupted Wildberries' payment and customer service systems, though the company has not confirmed whether the DDoS attacks were connected.
Researchers introduce model-aware diffusion schedules via fiberwise optimal transport, cutting flow-matching FID on CIFAR-10 by 38.6% at 16 function evaluations.
The paper proposes constructing diffusion and flow-matching sampling schedules from a fiberwise prediction risk defined via optimal transport, combined with coefficient-path kinetic action, yielding a closed-form time allocation. Across DDPM and flow-matching experiments spanning targets, datasets, and architectures, the schedules beat model-agnostic baselines, including a 38.6% relative FID reduction for flow matching on CIFAR-10 at 16 function evaluations. Normalized fiberwise-risk profiles from independently trained models align closely, suggesting empirical universality, and a frozen analytic allocation template retains most of the gains.
Warehouse robotics startup Maven Robotics emerges from stealth with $100 million to build 250 third-generation palletizing robots.
Maven Robotics, founded in 2024 by former Apple special projects engineer Hamza Derbas and his brother Khalid, emerged from stealth after raising $100 million from RoboStrategy, LocalGlobe, Vine Ventures, and XTX Markets Ventures. Its wheeled dual-arm robots, moving 10 mph and lifting up to 30 kg, perform mixed palletizing in distribution centers, with up to eight units reportedly running 16 hours a day at 99%+ uptime. The company plans to build 250 third-generation robots, start design on a fourth-generation platform, and expand toward material handling and fabrication, positioning itself against rivals like Agility, which is going public via a $2.4 billion SPAC deal.
Boston Scientific says a cyberattack disrupted shipment and operating systems, forcing engagement of an incident response firm with no restoration timeline.
Medical device manufacturer Boston Scientific disclosed a cybersecurity incident discovered Tuesday that impacted access to operating systems and business applications, including processing and shipping customer orders. The company filed documents with the SEC, hired a cybersecurity firm, and told investors full restoration may take weeks. No group has claimed responsibility and it is unclear whether ransomware is involved. The company reported $5.4 billion in net sales in Q2 2026 and produces pacemakers and stents.
Weekly digest: exploited Metabase zero-day breached Framework; Salesforce/ServiceNow portals read for 17 months; Microsoft patched 400+ flaws.
Help Net Security's week in review aggregates top stories: a 'City-Forum' campaign tracked by Reco has been pulling records from Salesforce and ServiceNow portals worldwide for 17 months, and Framework suffered a breach via an exploited Metabase zero-day exposing customer contact and IP data. It also covers Microsoft's August 2026 Patch Tuesday fixing 400+ flaws including exploited zero-day CVE-2026-68820, Cisco's fix for exploited firewall DoS bug CVE-2026-20349 (added to CISA KEV), and a second N-able N-central hotfix for actively exploited CVE-2026-18577. Other items include GitHub expanding Dependabot malware alerts to eight package ecosystems and EU AI Act enforcement beginning on 2 August 2026.