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134 stories in the last 30d

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The Intelligible World of Agents

Recorded Future argues cybersecurity AI agents perform better when reasoning over structured, curated intelligence graphs rather than fragmented alerts or open-source noise.

In a vendor essay, Recorded Future describes how its security agents produced more authoritative analyses after being re-architected to reason primarily over the Recorded Future Intelligence Graph instead of weighting open-source information equally. The author argues agentic decision quality depends mainly on a structured, current operational world model of assets, vulnerabilities, threat actors, detections and organizational context, not on model intelligence itself. The piece further claims frontier model access is commoditizing and that orchestration tooling will converge, making trusted representations of organizational knowledge the durable competitive differentiator.

Recorded Future · 7d agoAI safety & security

Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

RECAL improves provenance-based APT detection with relation-balanced masked graph learning and calibrated errors, reaching 99.99% F1 on DARPA E3 datasets.

RECAL is an unsupervised framework for provenance-based intrusion detection that uses relation-balanced masked graph learning to capture rare interaction patterns, addressing statistical heterogeneity where relation frequencies differ by roughly 140,000X in CADETS. It calibrates reconstruction errors against each relation's benign error distribution to produce comparable anomaly evidence and reduce false alarms. On three DARPA E3 datasets, RECAL achieves F1 scores of 99.99%, 99.93%, and 99.99%, outperforming the best baseline on each dataset, and reduces mean false positive rate by approximately 105X, 4X, and 41X versus the lowest-FPR baseline.

arXiv cs.CR · 2d agoResearch

How to secure edge AI in customer-owned environments

Microsoft outlines security architecture guidance for edge AI, urging runtime attestation, artifact provenance, and deterministic mediation of model actions.

Microsoft details how edge AI shifts trust responsibilities to customers operating their own infrastructure, where prompt injection, model tampering, and malicious firmware updates can occur alongside model weights, credentials, and physical-system access. The guidance recommends verifying runtimes with attestation, verifying AI artifacts with provenance, and constraining model actions through a deterministic mediator outside the model. It also covers new exposure surfaces from MCP, multi-agent systems, and computer-use agents running in disconnected or hostile edge environments.

Microsoft Security Blog · 12d agoAI safety & security

Forgery of C2PA on a Pixel 10

Researcher forged a Google Pixel 10 C2PA content credential with genuine signatures, showing root-level attackers can fake photo provenance.

A Hacker Factor blog post demonstrates an AI-generated 'unicorn glitter milk' news photo carrying a valid, cryptographically signed C2PA manifest traceable to Google's Pixel camera certificate chain, passing validation in Adobe Inspect and the CAI Verify tool with a verified timestamp. The author, working with UMBC's PASAWG working group, reported to Google and C2PA in November 2025 that root access on a Pixel device could sign arbitrary images as camera captures; after 90 days without resolution, details were published. The finding undermines C2PA Assurance Level 2 claims made for Pixel 10 Content Credentials.

Lobsters · security · 17h agoResearch

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.

Hacker News · security · 1d agoResearchHN 25↑ · 18 comments

The EU CRA's Real Question: What Shipped, and When Did You Know?

ActiveState argues the EU CRA's 24-hour ENISA exploit-notification duty, effective September 11, 2026, makes current SBOMs and provenance visibility a legal necessity.

An ActiveState essay warns that the EU Cyber Resilience Act's reporting obligations take effect on September 11, 2026, requiring manufacturers of products with digital elements sold into the EU to notify ENISA within 24 hours of learning a vulnerability is actively exploited, with a fuller report within 72 hours. The law's engineering requirements only apply from December 11, 2027, leaving a visibility-first runway, and Article 13 requires the SBOM to stay current unlike one-time artifacts generated under US Executive Order 14028. The author contrasts the 24-hour notification clock with an industry-average 55 days to remediate high or critical vulnerabilities and recommends automated SBOM regeneration or consuming pre-vetted, attested open source components.

BleepingComputer · 8d agoPolicy & legal

d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment

d-Matrix will integrate its Raptor inference XPUs with NVIDIA NVLink Fusion, MGX racks and Spectrum-X networking for rack-scale AI factory deployment.

Inference chipmaker d-Matrix announced adoption of NVIDIA NVLink Fusion to connect its next-generation Raptor XPUs to NVIDIA's scale-up and scale-out networking, MGX rack architecture, and broader AI factory platform. NVIDIA claims 3x lower XPU-to-XPU latency than off-the-shelf Ethernet and 3 TB/s per-XPU all-to-all bandwidth via sixth-generation NVLink. d-Matrix plans to integrate Vera CPUs, ConnectX-9 SuperNICs, BlueField-4 DPUs and Spectrum-X Ethernet, with racks able to work alongside Vera Rubin NVL72 GPU systems. Other NVLink Fusion partners include AWS, Arm, Intel, Fujitsu, Marvell, MediaTek, Samsung and Cadence.

NVIDIA Blogupdated · 15h agofirst · 6d agoAI industry 2 sources

The Verifiable Action Card: Trustworthy Human-in-the-Loop Control for Secure Autonomous Agents

Verifiable Action Card architecture blocks indirect prompt injection in agentic browsers, cutting attack success from 68-100% to 0%.

Researchers propose VAC, a browser-architecture defense that reconstructs approval prompts from the ground-truth pending action and trusted intent provenance, rendering them out-of-band in trusted browser chrome. On a 24-scenario benchmark covering confused-deputy attacks, dialog forging, and indirect prompt injection, attack success fell from 68-100% to 0% across evaluated LLMs, with 78% legitimate-task completion and a 0% false-block rate. Approval is bound to the exact action re-verified at dispatch.

arXiv cs.CR · 20h agoAI safety & security

PIDS-Bench: Evaluating Prompt-Injection Detectors Under Over-Defense, Obfuscation, and Distribution Shift

PIDS-Bench shows prompt-injection detectors scoring F1 above 0.98 still misclassify about one-third of external benign security-adjacent prompts, revealing provenance-sensitive over-defense.

PIDS-Bench is a frozen multi-axis benchmark that jointly evaluates prompt-injection detectors on attack detection and benign false-positive behavior at fixed thresholds, spanning in-distribution inputs, hard-benign prompts, obfuscated attacks, and domain/structural distribution shifts. It evaluates seven detectors plus a rule-based lower-bound reference. A detector exceeding F1 = 0.98 on held-out data still misclassifies roughly one-third of an externally-sourced benign security-adjacent subset, and no internal detector reaches F1 >= 0.95 with hard-benign FPR <= 0.10 on the stress distribution. Hard-negative augmentation nearly eliminates over-defense on curated stress inputs but leaves it intact on externally-sourced prompts, a pattern termed provenance-sensitive over-defense.

arXiv cs.CR · 3d agoAI safety & security

A Graph-Based Approach for Mapping Kernel-Level Telemetry to MITRE ATT&CK

Trace2ATT&CK maps eBPF kernel telemetry to MITRE ATT&CK via provenance graphs and RAG with local open-weights LLMs, validated on 347 Atomic Red Team tests.

Trace2ATT&CK collects kernel-level events via eBPF, correlates attacker commands into a provenance graph, and derives compact graph representations suitable for LLM-based reasoning, mapping behavior to MITRE ATT&CK techniques with ranked candidates and rationales. Mapping uses both pure LLM prompting and retrieval-augmented generation grounded in the ATT&CK knowledge base. It was evaluated on 347 Linux Atomic Red Team tests using locally deployed open-weights LLMs. RAG consistently improved ATT&CK mapping over pure prompting, and provenance graphs substantially outperformed raw telemetry, without compromising data confidentiality.

arXiv cs.CR · 5d agoResearch

Do AI Coding Assistants Check Before They Install? A Pre-Registered Demand-Side Audit of Trust Signals in the Research Software Supply Chain

Pre-registered audit finds AI coding assistants verified provenance signals in only 9 of 1,920 trials before installing research software packages.

The study tested whether AI coding assistants check machine-readable trust signals such as SBOMs, signed releases, and provenance attestations before installing six open-source research software projects spanning HPC and quantum computing. Three models under two operating modes produced 1,920 registered trials scored from container logs. Provenance signals were opened in only 9 of 1,920 trials (0.5%) and zero of 384 control trials, with no trial running a verification command. The authors conclude publishing signals is insufficient and verification must be built into the program running the assistant.

arXiv cs.AI / cs.LG / cs.CL · 9d agoAI safety & security

Forgetting Without Restarting: Execution-State Unlearning for Stateful LLM Agents

Researchers propose provenance-guided selective replay letting LLM agents forget revoked information without restarts, matching full reset behavior.

The paper formalizes execution-state unlearning for stateful LLM agents, requiring that agents behave as if a revoked memory record was never observed across transcripts, compressed memory, tool plans, and KV caches. It proves exact unlearning requires at least T-τ+1 recomputed transitions and that Provenance-Guided Selective Replay attains this bound via a provenance graph, KV cache cropping, and sanitized replay. In audits across three agent suites, nine baselines, and three model families, memory deletion left leakage unchanged, instruction-based forgetting collapsed under elicitation (Leak@probes = 1.00), and selective replay matched full resets at up to 9x fewer recomputed tokens.

arXiv cs.CR · 12d agoAI safety & security1

Fluid Notarization: Verifiable Evolution of Concurrently Edited Structured Documents

Fluid Notarization anchors delta-CRDT change graphs on blockchain, providing verifiable provenance for concurrently edited documents, demonstrated on collaborative electronic health records.

The paper introduces Fluid Notarization, a paradigm that notarizes the evolution of collaboratively edited structured documents rather than isolated snapshots. It builds on Melda, a JSON-native delta-CRDT representing changes as compact content-addressed deltas linked by causal dependencies, with blockchain notarization reduced to recording identifiers of evolution artifacts while synchronization, reconstruction, and conflict resolution remain off-chain. The architecture combines deterministic CRDT convergence with independently auditable proof-of-existence, provenance, and publication evidence, validated through a prototype based on collaboratively edited electronic health records.

arXiv cs.CR · 14h agoResearch

The Rise of the Forward Deployed Engineer — and How To Do the Job Right

Palantir veteran Vinoo Ganesh traces the forward deployed engineer role and shares practices for building effective FDE teams.

Kepler CEO and former Palantir forward deployed engineer Vinoo Ganesh argues that labs, startups, and PE firms hire FDEs without a shared definition of the role. He recounts Palantir's Project Frontline rotation, which trained about 250 software engineers as FDEs, many now leading forward deployed teams at OpenAI, Anthropic, xAI, and Anduril. A 2013 failure of the Phoenix transaction store at a bank, where real-world data gaps caused roughly 2.3 million keyspaces and an out-of-memory crash, illustrates why FDEs must own the gap between design and production reality. At Kepler he places the FDE function inside product rather than sales.

Latent Space · 4d agoAI industry 4 sources1

An Evidence-First Multi-LLM Framework for Auditable Critical-Infrastructure Dependency Modeling

Evidence-first multi-LLM framework builds auditable critical-infrastructure dependency graphs while preserving provenance and unresolved cases.

The framework constructs Infrastructure Knowledge Bases and Infrastructure Dependency Graphs from heterogeneous infrastructure documentation using multiple open-weight LLMs that independently extract candidate entities and dependencies from normalized evidence. It separates evidence verification, ontology grounding, entity resolution, dependency alignment, validation, fusion, and human review, projecting the validated IKB deterministically into the IDG without new LLM-generated knowledge. Evaluation across nine infrastructure projects shows entity recovery achieves substantially higher recall than full dependency recovery, and cross-model overlap is much lower for dependencies than entities, indicating models often produce non-overlapping candidate assertions rather than stable consensus.

arXiv cs.CR · 6d agoResearch

ChatGPT Images 2.5: Faster, more precise, but not the same for everyone

OpenAI released GPT-Image-2.5 (Flare and Sunburst variants), cutting image generation latency up to 50% and improving multi-round edit consistency.

OpenAI launched GPT-Image-2.5 in two API variants: Flare, the faster default with higher quality than GPT-Image-2 at up to 50% lower latency, and Sunburst, built for precise multi-round edits. Both cost $8 per million input and $30 per million output tokens, with new xhigh and max quality tiers; a max-tier 1024x1024 image runs roughly $0.21. Testing found edit consistency strong in ChatGPT Work but inconsistent in Chat, and OpenAI has not documented how ChatGPT routes users between the models.

The Decoder · 7d agoModel release

CONTINUITY: Security-Context Contracts for Composable LLM Agent Controls

Researchers introduce CONTINUITY, a framework of assume-guarantee contracts that preserves LLM agent security context across components, verified across 2,560 attack instances.

The paper identifies security-context discontinuity, where individually sound controls drop, widen, or reinterpret security context as actions cross component boundaries, and proposes CONTINUITY, a framework of assume-guarantee contracts using signed root grants, provenance commitments, role-bound transition receipts, and effect-bound execution permits. It formalizes end-to-end consequence integrity, requiring every external effect to be backed by a valid authorization witness linking principal, task, provenance, and policy state. A reference verifier and cross-layer fault-injection suite covering 32 fault classes showed the full configuration committed no harmful external effect across 2,560 parameterized attack instances while completing all 700 benign tasks and escalating all 200 ambiguous cases.

arXiv cs.CR · 12d agoAI safety & security

Operational Roles of QRNG-Derived Quantum Entropy in Bitcoin Proof-of-Work Architectures

arXiv study finds quantum-random entropy adds no Bitcoin PoW success advantage but helps assurance in fault and provenance scenarios.

The paper shows replacing classical entropy with QRNG output does not change honest Bitcoin proof-of-work success probability when candidate headers remain distinct. It introduces a reproducible benchmark measuring an entropy-efficiency factor and a reboot-diversity index, finding QRNG value only in assurance-oriented scenarios involving correlated restart faults, namespace reuse, and entropy provenance. Validation is simulation-based, with hardware-in-the-loop testing identified as future work.

arXiv cs.CR · 12d agoResearch

AI Security Spending Jumps as Fear Outpaces Proof of Value

Dark Reading examines CISOs boosting AI security spending before the technology has proven its cybersecurity value.

Dark Reading reports that CISOs are increasing investments in AI for cybersecurity rather than waiting for the technology to demonstrate clear value. The piece questions whether fear-driven AI security budgets are justified while proof of value still lags adoption.

Dark Reading · 9h agoIndustry

Top 10 Best Multi-Cloud Security Platforms in 2026

An editorial roundup of the ten best multi-cloud security platforms for 2026, split between CNAPPs (Wiz, Prisma Cloud) and cloud-networking security (Aviatrix).

The article frames multi-cloud security as two markets: CNAPP platforms (Wiz, Prisma Cloud, CrowdStrike, Orca, Defender) securing what runs in clouds, and cloud-networking-security platforms (Aviatrix) securing how clouds connect. It ranks ten platforms including Palo Alto Prisma Cloud for breadth, Wiz for correlation, Check Point CloudGuard, Fortinet, Aviatrix, Microsoft Defender for Cloud, Trend Micro, and CrowdStrike. It flags the ~$32 billion Google–Wiz acquisition as raising cloud-neutrality questions buyers should address contractually.

Cyber Security News · 20h agoTools

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

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

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

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

Why Patch Automation Needs Brakes, Not Just an Accelerator

Action1's field CTO argues patch automation needs staged deployments and stop conditions, not just speed.

Gene Moody, Field CTO at Action1, writes on BleepingComputer that patch automation must pair acceleration with safeguards. He recommends staged deployment rings with predefined go/no-go criteria, keeping human judgment for domain controllers, databases, and ERP systems. The piece warns that automation without brakes can push a bad update to 10,000 endpoints as fast as a good one.

BleepingComputer · 2d agoIndustry

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.

Cyber Security News · 5d agoIndustry

12 Best Application Control & Allowlisting Tools Compared (2026): Features & Pricing

GBHackers compares twelve application allowlisting tools for 2026, naming ThreatLocker and Airlock Digital leaders and Microsoft WDAC the free native option.

GBHackers published an editorial comparison of twelve application control and allowlisting tools for 2026, assessing control depth, manageability, and pricing models. It ranks ThreatLocker and Airlock Digital as leading dedicated allowlisting options, positions Microsoft WDAC/AppLocker as the free native choice for Windows estates, and highlights CyberArk and BeyondTrust for coupling control with privilege management.

GBHackersupdated · 20h agofirst · 6d agoIndustry 14 sources1

OpenAI’s sly mathematical breakthrough sends a chill through academia

OpenAI claims an unreleased model solved the Navier-Stokes Millennium Prize problem in 88 hours using ~10,000 agents, sparking academic scooping controversy.

OpenAI announced that one of its unreleased internal models took 88 hours, running a swarm of roughly 10,000 AI agents, to produce a solution to the Navier-Stokes Millennium Prize problem, a $1 million Clay Mathematics Institute challenge unsolved by humans for nearly 90 years. The announcement triggered allegations from NYU professor Tristan Buckmaster that OpenAI scooped his joint work with Anthropic researcher Levent Alpoge and questioned whether OpenAI accessed his Codex sessions; OpenAI denies using specific user data but concedes de-identified data influence cannot be ruled out. Critics say the rushed, reportedly million-dollar effort violates academic norms around trust and openness, potentially chilling collaboration in mathematics.

The Verge · AI · 7d agoAI industry2

What breach and attack simulation needs to become in the AI era

Picus argues calendar-driven BAS is obsolete as AI compresses exploit timelines, citing 338 million simulations showing 69% prevention and a flat 14% alert score.

In a vendor opinion piece, Picus Security contends that with over 130 CVEs disclosed daily, fewer than 0.5% patched upstream, and disclosure-to-weaponized-exploit timelines near 10 hours, scheduled breach and attack simulation no longer keeps pace. The Picus Blue Report 2026, aggregating 338 million production simulations, found average prevention effectiveness of 69%, 58% of attack actions captured in the SIEM, an unchanged 14% alert score, and detection rule failures driven by performance issues (49%) and silent log collection gaps (41%). Picus proposes agentic BAS as a closed loop—simulate, validate, fix, verify—with AI-built threats and humans at decision gates.

Help Net Security · 8d agoIndustry

What Fal.Con 2026 Reinforced: AI Makes Proving Exposure More Important Than Ever

Horizon3's Fal.Con 2026 recap argues AI-accelerated vulnerability discovery makes continuous attacker-based exposure validation essential for defenders.

In a Fal.Con 2026 recap, Horizon3 argues that AI is compressing the time between vulnerability discovery and exploitation, making attacker-derived evidence about real exploitability the key prioritization signal. Horizon3 announced it joined CrowdStrike's Project QuiltWorks, with NodeZero exploitability intelligence flowing into Falcon Next-Gen SIEM and Falcon Fusion SOAR workflows able to trigger NodeZero 1-Click Verify for remediation testing. The company reported running over 1,200 NodeZero demos during the show, and CrowdStrike CEO George Kurtz's keynote framed AI red teaming and offense-informing-defense as central themes.

Horizon3.ai · 12d agoIndustry

Your threat feed is someone else's database: What ingesting malware intel at scale takes

GitHub's Dependabot lead shares five production lessons for ingesting community malware intelligence feeds across eight package ecosystems at scale.

GitHub's Dependabot team monitors over 30 million repositories and extended malicious-package advisories from npm to eight package ecosystems by ingesting OpenSSF's malicious-packages intelligence. The team catalogued roughly 18 new malicious npm packages per day in the year ending May 2026. The write-up argues that provenance with batch reverts, fingerprinting to catch echo-chamber duplicates, and heavyweight normalization are the make-or-break engineering for feed ingestion. It also recommends automated publishing with import caps and anomaly flagging, and quarantining malformed records rather than silently repairing them.

Help Net Security · 14d agoResearch1

Slovakia Warns of Cyber Risks in Road Speed Cameras

Slovakia's NBÚ warns that speed camera systems from SODASUS, Simicon and NEROline pose cyber risks including undocumented remote access.

Slovakia's National Security Authority (NBÚ) warned of a significant cyber threat tied to several road speed camera products: NERO R-ONE units sold by Cyprus-based SODASUS, and Cordon-series cameras made by Russia's Simicon and sold by Croatia's NEROline. A security analysis requested by the Interior Ministry found weak protections, mismatches between documented and actual communication settings and software versions, unclear hardware/software provenance, and pre-configured remote-access mechanisms outside operator control. NBÚ warned that compromised cameras could expose vehicle and licence-plate data, tamper with records, or serve as a foothold into public-sector networks lacking segmentation. The Interior Ministry reportedly removed the units from its pilot deployment and asked the supplier to replace them with equipment meeting Slovak and EU security requirements.

Security Affairs · 23d agoAdvisory

New Cryptographic Context Injection Attack Could Let Web Pages Steal Grok Chat Data

Adversa AI demonstrated 'Cryptographic Context Injection' making xAI's Grok leak chat history and session data to attacker-controlled servers via encrypted web payloads.

Adversa AI disclosed a technique where a web page carries an encrypted JSON object (PBKDF2 and AES-256-GCM) that Grok's code-execution runtime decrypts, letting attacker instructions bypass content classifiers and reach the model's context. The decrypted instructions direct Grok to embed the user's name, approximate location, subscription tier and ongoing conversation into a URL it fetches, exfiltrating the data without confirmation. Testing targeted grok.com running Grok 4.5 Fast on August 19, 2026, with a reported 40% success rate over 20 attempts since June; no CVE, patch, or in-the-wild exploitation is reported. A related demonstration reproduced Gemini 3 Flash system instructions via a fabricated Python traceback, while GPT-5 failed to parse the payload and Claude Sonnet 4.5 flagged it as prompt injection.

The Hacker News · 27d agoAI safety & security

ThreatsDay: GhostJacking AI Attacks, EtherHiding ClickFix, Cursor CLI Flaw + 17 More Stories

A weekly bulletin aggregating short security updates, including the City-Forum data-theft campaign, a ShipMonk breach, a Cursor CLI flaw, and GhostJacking AI attacks.

The Hacker News ThreatsDay Bulletin bundles roughly 20 short updates across cloud services, AI tools, malware, breaches, and scams. Highlights include the City-Forum campaign pulling data from unauthenticated guest access in Salesforce Experience Cloud and ServiceNow Service Portals since March 2025, and a ShipMonk breach exposing Trezor customer order data for orders in seven countries between May 10 and August 8, 2026. Other items cover a patched Cursor CLI flaw that let cloned repositories run commands before the workspace-trust prompt, Okta's analysis of the Work Panel vishing console used by actors like UNC6671, and GhostJacking AI agent hijacking via a patched Claude Desktop sandbox escape. Meta also launched an on-device WhatsApp Scam Alert machine learning model that keeps message content on the device.

The Hacker News · 29d agoIndustry

After accusations of selling ‘perv glasses,’ Meta prepares to sell a pair without a camera

Meta is preparing camera-less Luna smart glasses with microphones and an AI button to access its chatbot and Muse agent, per reports.

The Information reports Meta is developing Luna, a camera-free smart glasses model with six built-in microphones and a side button that activates Meta's AI chatbot and its Muse consumer agent, possibly unveiled at next week's Meta Connect event. The move follows consumer backlash over camera-equipped glasses that critics called 'perv glasses.' Meta's Reality Labs continues to post large losses despite the smart glasses line's relative market success.

TechCrunch · AI · 10h agoAI industry

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.

The Verge · AIupdated · 8h agofirst · 13h agoAI industry 3 sources

CTEM Technology Evaluation Scorecard

Horizon3.ai releases a scorecard for evaluating CTEM technologies on demonstrated exploitability and remediation evidence.

Horizon3.ai published a downloadable CTEM Technology Evaluation Scorecard for assessing security technologies across the six-stage Continuous Threat Exposure Management operating model, from discovering exposure through verifying risk removal. The scorecard uses a 0-3 scale based on repeatable evidence demonstrated in the evaluator's environment rather than stated feature claims, with emphasis on validating exploitability and verifying remediation. It is vendor marketing material aimed at security leaders and evaluation teams.

Horizon3.ai · 13h agoIndustry 2 sources

CASHEWS: Source Preprocessor for LLM-based Malicious Package Detection

CASHEWS preprocessor boosts LLM-based malicious npm package detection, raising coverage to 98.8-100% and cutting false negatives by up to 18.6 points.

Researchers present CASHEWS, a JavaScript preprocessor for LLM-based malicious package detection that deobfuscates code iteratively, extracts bundled modules and dynamically executed code, identifies malicious sinks, and computes backward slices to produce compact detector input. Threat actors evade LLM detectors by exploiting limited context windows with high token-density obfuscation and by bundling malicious code with benign packages, as seen in supply-chain attacks such as Shai-Hulud. Across 512 large package files, two scanner types, and three LLMs, CASHEWS raised analysis coverage from 69.1-85.7% to 98.8-100% and reduced false-negative rates by up to 18.6 percentage points. Median preprocessing time is 30 seconds while net analysis cost drops 34.6%.

arXiv cs.CR · 14h agoResearch

CaMeLoT: CaMeL orchestrated with Temporal logic for static verification and liveness

Researchers present CaMeLoT, extending CaMeL with CTL model checking that statically rejects unsafe LLM agent plans before any tool executes.

CaMeLoT adds a static verification layer to CaMeL, a runtime defense against prompt injection in tool-using LLM agents. It translates a generated plan into a finite-state transition system, labels it with tool calls, provenance, and taint information, and checks it against CTL temporal policies using the nuXmv model checker before any tool is invoked. Failed checks return counterexamples for plan repair, avoiding LLM calls, tool calls, and sandbox teardown. Evaluation covers policies derived from AgentDojo, SOC workflows, and prompt-extraction experiments.

arXiv cs.CR · 16h agoAI safety & security

Parallels Desktop flaw hands any local user root on a Mac (CVE-2026-90894)

CVE-2026-90894 in Parallels Desktop for Mac lets any local user gain root via argument injection; patched in v27.0.0, PoC withheld.

JFrog researchers disclosed CVE-2026-90894, an argument injection flaw in Parallels Desktop for Mac v26.4.0 on Apple silicon that lets any local user gain root on the host. The chain combines a world-writable Unix socket for prl_disp_service (which runs as root), weak peer-credential authentication, and argument injection via --use-compress-program in the appliance extraction tar path. Alludo fixed the flaw in Parallels Desktop v27.0.0 in early September 2026; JFrog published technical details but withheld its proof-of-concept script.

Help Net Securityupdated · 17h agofirst · 18h agoVulnerability 4 sourcesCVE-2026-90894

Robot Visions: Breaking reCAPTCHA at Zero Cost and Zero Shot

Researchers defeat Google reCAPTCHA using free local models CLIP and OWLv2, achieving 92.6% per-session success at zero cost.

The paper taxonomizes Google reCAPTCHA challenges into Type A (independent tiles) and Type B (4x4 grid) and builds zero-shot, training-free solvers from open-source local models. CLIP solves 58% of Type A challenges and OWLv2 43.5% of Type B, while an end-to-end automated solver succeeds on 92.6% of 500 real-world sessions. The authors also show a non-technical adversary can solve challenges using natural-language instructions to a commodity AI assistant, collapsing the attacker skill floor and suggesting visual challenge CAPTCHAs have reached the end of their useful life.

arXiv cs.CR · 18h agoAI safety & security

AIJon: Automated Generation of Annotations for Fuzzing

AIJON uses LLMs to auto-generate IJON-style fuzzing annotations, matching human-expert quality on the Magma benchmark.

Researchers replicate IJON experiments and propose AIJON, a system that uses LLMs to automatically generate expert-style annotations for coverage-guided fuzzing at scale. On the Magma benchmark, LLM-generated annotations performed comparably to human-generated ones, though annotation-based fuzzing was not strictly better than AFL++. The paper analyzes how annotations affect fuzzer energy distribution across campaigns.

arXiv cs.CR · 19h agoResearch

AI helps scammers build convincing antivirus renewal pages

Malwarebytes found scammers using AI to build polished fake antivirus renewal pages impersonating Avast, harvesting names, emails and phone numbers for follow-up fraud calls.

Malwarebytes analyzed a fake Avast renewal site targeting Belgian users in French, claiming a €129.99 Avast Premium Security renewal and collecting name, email address and Belgian mobile number through a cancellation form. Leftover code comments written in polite French and other stylistic clues suggest the page was generated with AI assistance, and the form was never connected to send data anywhere. The scam typically progresses to phone calls pressuring victims to install remote access software, and AI substantially lowers the barrier for producing polished, localized scam pages at scale.

Malwarebytes Labs · 21h agoPhishing & fraud