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Apple might make servers again to cash in on the AI rush
Apple reportedly plans AI servers pairing M8 Ultra chips with Nvidia NVLink Fusion, targeting a 2029 debut.
According to The Information, Apple is considering re-entering the server market it left in 2011 with the Xserve retirement, betting on its ARM-based M processors amid surging AI compute demand. The servers may run two or four M8 Ultra chips and could incorporate Nvidia's NVLink Fusion interconnect, and Apple recently turned to Nvidia chips for its revamped Siri servers. A product would likely debut around 2029, and plans could still change; Mac Mini and Mac Studio popularity with AI developers has already caused shortages.
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Apple Reference Image: A New Approach for Verified Photography
Apple introduces Reference Image, hardware-backed verifiable photography on iPhone 18 Pro using sensor signing and Private Cloud Compute to counter AI-generated fakes.
Apple announced Reference Image, an opt-in camera mode debuting on the main sensor of iPhone 18 Pro and iPhone 18 Pro Max that produces securely timestamped, verifiable photographs. The design splits into two phases: a secure digital negative created by cryptographically signing pixel data at the sensor immediately after capture (preventing injection or tampering), then developing that negative into a reference image. Private Cloud Compute handles processing without exposing image contents to anyone, including Apple, and fraudulent reference images can be revoked without revealing the photographer's identity. Apple positions the system as stronger than C2PA-based approaches, which sign metadata after capture, are vulnerable to editing-chain compromise, and can tie images to a device or individual.
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Meta’s new One subscriptions put a price on social media and AI
Meta's new One subscription tiers pair app perks with more Meta AI usage, from $2.99 single apps to $499 monthly business Max plan.
The Verge reports Meta's Meta One subscription bundles are now globally available, following the launch of its Muse AI assistant. Individual bundles include Core at $7.99/month and Premium at $19.99/month, combining Instagram Plus, WhatsApp Plus, and Facebook Plus with expanded Meta AI media generation including Muse images and Instagram's Restyle, cheaper than $11/month for all three standalone subscriptions. Creator and business plans span Essential ($14.99/month) to Expert ($149/month) and Max ($499/month), adding verification badges, impersonation protection, and Meta Business Agent capacity.
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When LLM judges agree, should we believe them?
Amazon ICML paper uses Ising models to correct correlated LLM-judge votes, beating accuracy-weighted panels by 9-14%.
Amazon Science describes an ICML paper, "Dependence-aware label aggregation for LLM-as-a-judge via Ising models," addressing how correlated judge outputs inflate majority-vote confidence. The unsupervised method models pairwise dependence between judges, learning both reliability and similarity without human reference labels. Tested on relevance, toxicity, and summarization tasks with 10 judge models at temperature zero, it outperformed accuracy-weighted voting by 9% to 14%.
Hacker News · AI40
WhatsApp Restricted Chat locks a conversation to your primary phone
WhatsApp is developing Restricted Chat, a per-chat setting blocking conversation sync to linked devices, defeating third-party clients and AI agents.
Restricted Chat, spotted in Android beta version 2.26.36.5 but not yet enabled, keeps a chosen conversation exclusively on the primary phone, out of reach of WhatsApp Web and linked secondary devices. It extends Advanced Chat Privacy controls: media is not auto-saved to gallery, export is blocked, and messages cannot be handed to Meta AI, with system messages notifying participants of changes. WhatsApp has not announced a release date.
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ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs
ModaLens image-swap audit shows report availability cuts MedGemma-27B image sensitivity on MIMIC-CXR from 20.94% to 4.26% answer changes.
ModaLens is a paired image-swap audit measuring how report availability affects image sensitivity in report-conditioned medical VLMs. On MedGemma-27B across 3,199 paired MIMIC-CXR cases from 293 patients (14 questions per case), generated answers changed on 4.26% of image-swap trials with the report versus 20.94% without it, a 16.7-point paired difference (95% CI 15.6-17.7). The original prompt with a lowercase first-token readout gave 4.70% versus 17.07%, and the direction replicated in two further model lineages. Labels derived from reports limit conclusions about visual correctness; code, prompts, and run records are publicly released.
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DynSHAP: Towards Explainable Dynamic Survival Analysis
DynSHAP extends SHAP explainability to dynamic survival analysis, treating time-feature pairs as Shapley players for longitudinal clinical predictions.
DynSHAP adapts marginal SHAP estimators to dynamic survival analysis by treating time-feature pairs as players in the Shapley game, handling longitudinal irregular inputs and functional survival outputs. Temporal DynSHAP learns linear feature dependencies over time and addresses them with conditional sampling. On synthetic data with ground-truth attributions it recovers temporally dependent features more accurately than marginal estimators, and it produces faithful attributions on two real-world clinical datasets across two DSA architectures.
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Top 10 Best CNAPP (Cloud-Native Application Protection) Platforms in 2026
GBHackers ranks 10 CNAPP platforms for 2026, naming Wiz, Prisma Cloud, and Microsoft Defender for Cloud as category leaders.
The guide describes CNAPP as the umbrella combining CSPM, CWPP, CIEM, and DSPM, arguing that cross-pillar correlation of attack paths is the platform's core value. Wiz is ranked best for graph-based correlation, Prisma Cloud for the broadest module set, and Microsoft Defender for Cloud for Azure economics. It also cites Google's approximately $32 billion agreement to acquire Wiz, announced in March 2025, as buyer leverage and a reason to seek roadmap and neutrality protections in multi-year contracts.
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Top 10 Best Browser Isolation Solutions in 2026
A 2026 market overview ranks ten remote browser isolation tools, with Menlo Security as the pure-play reference as SSE vendors bundle isolation.
The article compares ten remote browser isolation (RBI) options, including Menlo Security, Zscaler, Cloudflare, Palo Alto Networks, Broadcom (Symantec), Forcepoint, Skyhigh Security, Ericom (Cradlepoint), Authentic8, and Garrison. It argues that RBI has become a bundled policy action inside SSE platforms from Zscaler, Cloudflare, Palo Alto, Broadcom, Forcepoint, and Skyhigh, compressing standalone pricing and driving consolidation such as Ericom's isolation moving under Cradlepoint (Ericsson). Enterprise browsers like Island and Chrome Enterprise Premium are reshaping the RBI-versus-browser decision for managed users, while selective policy-driven isolation of risky categories is described as the prevailing 2026 architecture. The piece is a buyer's guide with vendor positioning, not an incident or vulnerability report.
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Linux Detection Engineering - Local Privilege Escalation
Elastic details a layered detection framework for Linux local privilege escalation, covering 2026's copy-on-write bug wave and LLM-assisted discovery.
Elastic Security Labs describes how most Linux local privilege escalations share a common host flow — an unprivileged process launched from a writable path becoming root — and proposes layered detections combining general outcome-based rules with per-technique rules in Elastic Defend and Auditd. It tracks 13 recent LPE disclosures, seven of which share a copy-on-write/zero-copy bug class, including Copy Fail, DirtyFrag, Fragnesia, DirtyDecrypt, DirtyClone, pedit COW, and RefluXFS. Qualys attributes RefluXFS to an LLM-assisted research effort with Anthropic using Claude Mythos Preview, and another bug is credited to an LLM-assisted workflow. Detection and endpoint rules are published in Elastic's detection-rules and protections-artifacts repositories.
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Top 10 Best Device Control & USB Security Tools in 2026
A 2026 scorecard ranks ten USB and device control tools, placing Safetica, Ivanti DeviceLock and DriveLock at the top.
The article compares ten device control and USB security tools using a weighted scorecard covering control granularity, platform coverage, DLP integration, operability and value. Safetica, Ivanti DeviceLock and DriveLock rank highest, with notes on cross-platform depth, Windows granularity and European compliance fit. The piece highlights ownership changes, including CoSoSys joining Netwrix and Digital Guardian joining Fortra, and stresses device control as part of Zero Trust and DLP strategies.
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Apple Doesn’t Want You to Worry About the New Apple Watch's Listening Features
Apple Watch Series 12 and Ultra 4 add opt-in audio intelligence features that process microphone audio on-device via a new Secure Exclave.
The Apple Watch Series 12 and Ultra 4 ship with four opt-in audio intelligence features: Sound Recognition, Shazam music identification, Siri Recap conversation summaries, and Live Rewind 15-second transcription. Audio is held and processed in an isolated Secure Exclave buffer on the new S11 chips, with on-device speech recognition on iPhone producing a distilled transcript that foundation models in Private Cloud Compute then summarize. Apple says no raw audio is stored or accessible to the operating system, apps, the user, or Apple, and untransferred audio is automatically deleted.
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Introducing the CyberAgents Exchange AI Inspector: Rigorous review for community-built AI
Tenable and OpenAI launch the CyberAgents Exchange AI Inspector to security-review community-submitted AI agents, MCP servers, and skills using GPT Cyber models.
Tenable and OpenAI announced the CyberAgents Exchange AI Inspector, unveiled at OpenAI's "Intelligence at Work: Cyber Summit," to vet community-submitted AI agents, skills, MCP servers, and multi-agent playbooks in the CyberAgents Exchange registry. The process combines Tenable One AI Exposure scanning, OpenAI GPT Cyber model assessment, and human review, with reviews anchored to specific Git commits. The registry launched in August and hosts over 100 AI listings; the Inspector is expected to be available in September and has already detected prompt injection implemented via invisible Unicode tag characters in a SKILL.md file.
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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%.
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Cross-modal learning for SAR target recognition using optical vision foundation models
Frozen DINOv3 optical prototypes supervise SAR target recognition without EO/SAR pairs, improving classification on the heavily imbalanced UNICORNv2 dataset.
The framework aligns SAR embeddings to class-level prototypes built from a frozen DINOv3 electro-optical encoder, requiring no strict EO/SAR image pairs. At inference the SAR model operates independently without access to optical imagery. On UNICORNv2, a civilian vehicle dataset with heavy speckle and severe class imbalance, EO prototype alignment improves accuracy over frozen DINOv3, SAR-only finetuning, and unpaired distribution alignment baselines.
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LexFlip: A Dissociation Diagnostic for Legal Meaning Preservation Metrics
LexFlip releases 373 minimal perturbations of Quebec statutory French that reverse legal force while preserving tokens, exposing weaknesses in embedding-based meaning preservation metrics.
LexFlip provides 373 minimal perturbations of Quebec statutory French that reverse legal force while preserving 0.93 of tokens, creating dissociation items that break monotone token-overlap metric validation. The seven embedding and BERTScore metrics tested register only 0.022-0.039 of their identical-to-unrelated range on these edits, versus 0.670 for bidirectional NLI. Against FrJudge, with a measured human ceiling of r=0.597, a bare length feature outscores every semantic metric tested.
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Safety for Whom? Boundary-Aware Self-Distillation for Controlled LLM Safety Refusal
A self-distillation safety framework tunes narrow-boundary refusals in Qwen3-8B, raising target-domain refusal to 84.75% while cutting over-refusal from 15.20% to 5.20%.
The paper formulates narrow-boundary safety, where deployments need refusals within specific topics rather than whole subjects, and proposes an offline self-generated framework with controlled topic generation, escalating retries, and harmful-benign boundary pairs. On political persuasion with Qwen3-8B, the method raised target-domain refusal from 9.47% to 84.75% and cut the mean unsafe-response rate across three broader benchmarks from 26.26% to 0.14%. Verified target-model responses reduced over-refusal from 15.20% to 5.20%, and boundary-pair data cut comply-side over-refusal on held-out pairs from 32.94% to 4.16%. Results show data composition controls the safety-usability trade-off and alignment should be evaluated on both sides of the refusal boundary.
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Edge infrastructure under siege: what two independent datasets reveal about who's exploiting your perimeter
Joint Tenable-SentinelOne analysis of 93 CVE-actor attribution pairs shows nation-state and criminal groups independently converge on the same edge infrastructure.
Tenable and SentinelOne jointly analyzed 93 CVE-actor attribution pairs covering exploitation of perimeter devices. The data shows state-sponsored and financially motivated actors independently target the same edge products from Ivanti, Fortinet, and Palo Alto Networks. The findings challenge the narrative that edge exploitation is exclusively a China-nexus nation-state problem, showing a broader shared attack surface.
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Researchers Uncover Thousands of Leaked AWS Keys
Truffle Security researchers discovered more than 9,000 publicly accessible and active AWS key pairs, creating credential exposure and account-takeover risks.
Truffle Security reported finding over 9,000 AWS key pairs that are simultaneously publicly accessible and active. Anyone retrieving such keys could potentially access the associated cloud resources without authentication. The finding underscores widespread secrets-hygiene failures in cloud environments and the risks of long-lived static credentials.
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ZDI-26-589: BlueZ A2DP Stack-based Buffer Overflow Remote Code Execution Vulnerability
ZDI details a network-adjacent stack buffer overflow in BlueZ's A2DP stack (CVE-2026-19774, CVSS 7.1) allowing remote code execution after pairing a malicious Bluetooth device.
The Zero Day Initiative published advisory ZDI-26-589 for a stack-based buffer overflow in BlueZ, the Linux Bluetooth protocol stack. A network-adjacent attacker who can pair a malicious Bluetooth device with the target can execute arbitrary code on the affected installation. The flaw carries a CVSS 7.1 rating and is tracked as CVE-2026-19774.
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TuxBot v3: Inside an IoT Botnet Framework With LLM
Unit 42 uncovers TuxBot v3, an LLM-assisted IoT botnet framework with 17-architecture builds, Telnet brute-forcing, and DDoS capabilities.
Palo Alto Unit 42 identified TuxBot v3 Evolution, a modular IoT botnet framework derived from AISURU, Wuhan-lineage botnets, and MHDDoS. The C-based bot brute-forces Telnet with 1,496 credential pairs, targets over 30 IoT device families, and communicates with a Go-based C2 over encrypted TCP with multiple fallback mechanisms including DGA, P2P, and DNS TXT. LLM-assisted development left hallucinated crypto implementations and broken exploit modules in the analyzed samples, though roughly 70% of core functionality works. Researchers warn polished production builds likely exist, raising the threat potential.
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New Android malware relays bank cards to fraudsters while victims still hold them
Group-IB discovered WindRelay Android malware that streams NFC card data in real time, paired with SpyNote RAT, targeting Czechia, Slovakia, and Slovenia.
Group-IB identified WindRelay, an Android malware that uses NFC to communicate with victims' payment cards and relays the exchange live to attacker-controlled terminals. Fraudsters impersonate bank staff by phone, trick victims into installing a personalized SpyNote RAT, then silently deploy WindRelay to cash out using the victim-entered PIN. Researchers traced 23 samples on VirusTotal from November 2025 to July 2026, four C2 IPs, and campaigns against Czechia, Slovakia, and Slovenia. No affected apps were found on Google Play, and Google Play Protect detects known versions.
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Zero-Click WhatsApp Account Takeover Hits iPhone Users Running iOS 16. No Linked Devices, No Warning
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