Search: “mdm”

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

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

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

Cyber Security News·Sep 9, 07:45 UTC · 7d agoIndustry

The 12 Best Mobile Device Management (MDM) Solutions, Compared and Priced

A comparison of 12 MDM platforms ranks Microsoft Intune as best value for Microsoft 365 estates and Jamf, Kandji, and Mosyle for Apple fleets.

The buyer's guide compares 12 mobile device management (MDM) products, naming Microsoft Intune best value since it is included in Microsoft 365 E3/E5, and Jamf, Kandji, and Mosyle as Apple specialists with day-one OS support and automated compliance remediation. Eight of the twelve publish rates; per-device pricing punishes multi-device users, while Microsoft, Omnissa, and IBM offer per-user options. Free tiers from Mosyle, Miradore, and ManageEngine support genuine small deployments.

GBHackers·updated Sep 10, 08:19 UTC · 6d ago·first Sep 10, 08:09 UTC · 6d agoIndustry 4 sources

Top 10 Best Mobile Threat Defense (MTD) Solutions in 2026

Roundup of 2026 mobile threat defense tools recommends Zimperium and Lookout for targeted-attack detection and Defender for Endpoint for Microsoft shops.

This guide ranks ten mobile threat defense solutions, recommending Zimperium and Lookout for on-device detection against targeted users such as executives and journalists, and Microsoft Defender for Endpoint mobile for organizations already licensing Microsoft 365 E5. It explains that MDM enforces configuration while MTD detects attacks, and that mobile phishing now arrives via SMS, messaging apps and QR codes rather than email. It also highlights mercenary spyware and zero-click exploits as shifting requirements for high-risk users, referencing Apple's threat-notification program and Lockdown Mode.

Cyber Security News·Sep 9, 07:50 UTC · 7d agoIndustry

Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs

Fortunate Recall introduces ontology-based lifecycle policies for LLM memory, cutting confabulation roughly in half (e.g., 45.1% to 22.4%) versus Mem0.

Fortunate Recall (FR) is a composable policy layer that classifies personal facts into a 10+1 behavioral ontology and applies category-specific lifecycle rules including differential temporal decay, slot-key supersession, event-time validity, and retrieval routing. FR-Bank scores 76.9% on the new 516-question LifecycleBench, ahead of Mem0, A-MEM, Memory-R1, and MemoryOS (61%-70.5%), and 75.2% on LongMemEval-S. End-to-end, confabulation drops from Mem0's 45.1% to 22.4% over answered queries, with the ranking replicating on open-weight Kimi K2.5 and transferring to the independent BEAM benchmark (46.8% vs 32.9%).

arXiv cs.AI / cs.LG / cs.CL·Sep 9, 16:31 UTC · 7d agoAI research

Top 10 Best Unified Endpoint Management (UEM) Solutions in 2026

A 2026 buyer's guide ranks UEM platforms, recommending Intune for Microsoft 365 shops, Jamf for Apple estates, and SOTI for rugged devices.

The guide ranks ten unified endpoint management platforms for 2026, recommending Microsoft Intune for Microsoft 365 organizations, Jamf for Apple-heavy estates, and SOTI for rugged, kiosk, and industrial devices. It notes VMware Workspace ONE now operates as Omnissa after Broadcom divested the End-User Computing division, and that BlackBerry sold Cylance to Arctic Wolf in February 2025 while retaining BlackBerry UEM. The article provides a coverage checklist spanning Windows, macOS, iOS, Android, Linux, kiosks, legacy on-prem Windows, and wearables/IoT.

Cyber Security News·Sep 9, 07:32 UTC · 7d agoIndustry

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

Audit of 22 frontier models finds widespread verbatim retrieval of published molecular property values, with higher reasoning increasing recall of memorized numbers.

An arXiv audit tests 22 frontier LLMs across 12 molecular regression benchmarks for verbatim retrieval of published values. More than 50% of the LLMs show verbatim retrieval on five datasets, and identical experiments are flagged 89% more often at a high reasoning level than at the lowest one. Suppressing retrieval moves model prediction errors closer together in relative terms, suggesting predictive capability is not determined solely by memorized values.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:32 UTC · 12d agoAI research1

Product showcase: GitGuardian Honeytoken catches credential theft as it happens

GitGuardian now deploys honeytoken decoy AWS credentials across developer fleets via MDM, generating high-fidelity alerts when infostealers test stolen credentials.

GitGuardian extended its honeytoken platform so decoy AWS credentials can deploy fleet-wide to developer laptops through existing MDM tooling, with deleted decoys automatically replaced at the next sync. When a harvester tests a decoy, the platform logs the API call in the controlling AWS account and raises an incident naming the source machine and file, routed via email, Slack, Teams, ServiceNow, or webhooks. The capability responds to infostealers such as Shai-Hulud that scan entire filesystems and validate stolen credentials within seconds. GitGuardian is building decoys for Kubernetes and package registry credentials using random, structure-free identifiers that resist detection.

Help Net Security·Sep 10, 05:30 UTC · 6d agoTools

Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering

Evaluation of twelve LLMs on 222 clinical questions shows verbatim quotes rarely substantiate claims; claude-opus-5 fully substantiates only 37.1%.

The authors build a standardized harness over four clinical practice guidelines and evaluate twelve LLMs on 222 synthetic clinical questions, measuring citation attachment, verbatim quote production, and claim substantiation. Most models attach verbatim quotes to over 90% of claims from prompting alone, though lightweight models like claude-haiku-4.5 struggle. Quotes frequently fail to substantiate claims: claude-opus-5 quotes 98.0% of claims but fully substantiates only 37.1%, exposing a capability gap for verifiable clinical QA.

arXiv cs.AI / cs.LG / cs.CL·Sep 14, 17:53 UTC · 2d agoAI research

numbat - AI agent observability, (Fri, Sep 4th)

SANS reviews Perplexity's open source numbat, a Go-based tool giving security teams observability, detection rules, and enforcement for AI agents like Claude and Gemini.

Numbat, Perplexity AI's open source observability tool, monitors desktop, CLI, IDE, and gateway AI agents through local hooks, OTLP/HTTP logs, and on-disk session artifacts. It ships detection rules mapped to MITRE ATT&CK (e.g., recon.network_sweep / T1046), supports enforcement mode, and packages investigations with SHA256-verified manifests and timelines. The SANS review positions it as a response to unmanaged AI agent and MCP server sprawl highlighted by the OpenAI/Hugging Face incident.

SANS Internet Storm Center·Sep 5, 03:39 UTC · 11d agoAI tools & infra

Large Language Models Develop Belief State Geometry In-Context

Probing six open-source LLMs on HMM-generated data shows belief states are linearly decodable (R² 0.83–0.99), suggesting in-context learning approximates Bayesian prediction.

Researchers prompted six open-source LLMs with data from 40 hidden Markov models selected for non-trivial belief structure and probed residual-stream activations for belief states (posteriors over hidden states). Belief states were linearly decodable with peak R² values of 0.83–0.99 across HMM/LLM combinations, spanning early to late layers. Patching and steering the probe-identified subspace preserved downstream prediction quality while control interventions degraded performance substantially, establishing functional relevance. The results provide representation-level evidence that in-context learning approximates optimal Bayesian prediction over a context-inferred generative model.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 16:17 UTC · 1d agoAI research

Microsoft September 2026 Patch Tuesday Fixes 973 Vulnerabilities and 2 Exploited Zero-Days

Microsoft's September 2026 Patch Tuesday fixes 973 vulnerabilities, including two zero-days already exploited in the wild.

Microsoft's September 2026 Patch Tuesday addresses 973 vulnerabilities across Windows, Office, and Azure components, including two zero-days already exploited in the wild. CVE-2026-81963, an elevation of privilege flaw in the Windows Update Stack, is flagged as an exploited zero-day. The release includes numerous remote code execution and information disclosure fixes for Microsoft Excel and Word, plus patches for the Windows kernel, ALPC, Print Spooler, ReFS, Entra ID, and Azure CLI.

GBHackers·Sep 9, 05:02 UTC · 7d agoAdvisory in the wildCVE-2026-85880CVE-2026-85877CVE-2026-85875+27 CVEs1

OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device

OpenBMB released MiniCPM5-2B, a 2.52B-parameter Apache 2.0 on-device model averaging 53.9 across 34 benchmarks, ahead of Qwen3.5-4B.

OpenBMB released MiniCPM5-2B, a 2,516,756,480-parameter dense LlamaForCausalLM model with grouped-query attention and a 131,072-token context, under Apache 2.0, runnable via vLLM, SGLang, llama.cpp, and Ollama. It averages 53.9 across 34 benchmarks versus 51.1 for Qwen3.5-4B, with strong tool-use (97.1 on tau2-Bench Telecom) and code results (69.1 LiveCodeBench v6, 46.4 SWE-bench Verified). Training combined 400B tokens of deep-thinking SFT, critic-based JustRL II RL teachers, and on-policy distillation merging 16 RL experts; datasets and intermediate checkpoints were published alongside the weights.

MarkTechPost·Sep 7, 19:18 UTC · 9d agoModel release

Cybersecurity jobs available right now: March 10, 2026

Help Net Security's roundup lists open cybersecurity roles at BioNTech, AIG, ServiceNow and others across Europe, the Middle East and Canada.

A job-board roundup of cybersecurity openings including Associate Director Application Security at BioNTech (Germany), CISO at AIG (Israel), Cloud Security Professional at ServiceNow (Italy), and SOC/GRC, analyst, engineer and data governance roles in the UK, UAE, India, Canada and France. Roles span application security, cloud security, SOC operations, compliance and OT environments. Most listings are marked no longer accepting applications.

Help Net Security·Aug 28, 09:06 UTC · 19d agoIndustry

Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence

New framework tests whether LLM-cited explanation factors are necessary or sufficient, finding weak correlation across Claude, GPT, and Gemini models.

An arXiv paper introduces black-box intervention tests measuring whether factors LLMs cite in their explanations are necessary or sufficient for their outputs in agent oversight workflows. Across eight models from the Claude, GPT, and Gemini families, Spearman correlations between cited rankings and measured influence ranged from 0.349-0.354 (advisor recommendation) to 0.431-0.580 (prompt monitoring). Uncited factors scored above the lowest cited factor in up to 57.6% of advisor responses, showing cited top-three factors do not reliably identify the most influential inputs.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:37 UTC · 12d agoAI safety & security1

Microsoft’s September 2026 Patch Tuesday addresses 964 CVEs (CVE-2026-81963, CVE-2026-85880)

Microsoft's September 2026 Patch Tuesday fixes a record 964 CVEs, including two zero-days actively exploited in the wild.

Microsoft patched a record 964 CVEs in its September 2026 Patch Tuesday release, with 101 rated critical and 824 rated important, making it the largest Patch Tuesday to date. The release includes fixes for two zero-days that were exploited in the wild, with CVE-2026-81963 and CVE-2026-85880 highlighted in the release. Affected products span Windows core components, Office, Exchange, .NET, Visual Studio, Active Directory services (including AD CS and AD FS) and numerous Azure services. Tenable notes the release surpasses July's as the biggest ever.

Tenable Blog·Sep 8, 18:07 UTC · 8d agoVulnerability in the wildCVE-2026-81963CVE-2026-858801

Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact

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.

arXiv cs.AI / cs.LG / cs.CL·Sep 10, 17:57 UTC · 6d agoAI research

Securing Claude Code: The New Compliance API, Local Visibility, and Identity Governance

Anthropic's new Compliance API endpoints expose Claude Code local session transcripts, highlighting governance gaps for endpoint AI agents.

Anthropic added local session transcript endpoints to its Compliance API on August 11, 2026, giving security teams visibility into prompts, bash commands, file operations, and MCP commands run by Claude Code harnesses on endpoints. The article argues local harnesses break the classic shared-responsibility model, citing Token Security data that 68.6% of discovered AI agents run on endpoints, and a Cloud Security Alliance survey of 418 IT and security professionals in which 82% found an unknown agent within the past year. It outlines three governance layers: Anthropic managed settings as a policy baseline, the Compliance API for cloud-visible transcripts, and endpoint telemetry to connect agent activity to identity, credentials, and permissions.

The Hacker News·Aug 31, 11:31 UTC · 16d agoAI safety & security1

What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through Conversation

A new benchmark shows LLMs reach 68.3-93% accuracy propagating local revisions across conversationally generated artifacts, with parallel-sample selection most cost-effective.

The paper introduces a benchmark for revision propagation: when users request a local change, LLMs must identify dependencies and update all affected parts of an artifact generated through conversation, where context lives in the chat history. Nine revision methods, including sequential reflection and parallel sampling variants, were evaluated on gpt-oss-20b/120b, gpt-5.4-mini, and qwen3.5-9b/27b/122b. Baselines scored 68.3-93% accuracy, and selecting among three parallel samples via LLM-based or medoid selection improved accuracy by 2.2-9.7% as the most cost-effective test-time compute strategy. Code and dataset are released.

Hugging Face daily papers·Sep 2, 20:00 UTC · 14d agoAI research

The 12 Best Antivirus Software for Mac, Compared and Priced

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

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

GBHackers·Sep 9, 07:39 UTC · 7d agoIndustry 2 sources

Memory as Plans: World-Action Modeling with Memory-Grounded Planning

Researchers introduce MaP-WAM, decomposing memory-dependent robot manipulation into memory-grounded planning and plan-conditioned execution, achieving 83.3% on RMBench and 78% on real robots.

MaP-WAM converts long-term multimodal episodic memory — segment records with language instructions and sparse visual context — into compact plans of next-segment language goals and visual guidance. A World-Action-Progress model jointly predicts action chunks and execution progress, calibrating predictions via plan-observation alignment for adaptive segment transitions and closed-loop context updates. Structured attention keeps the executor context length fixed and enables key-value caching, yielding state-of-the-art 83.3% success on RMBench, 78.0% on real-robot tasks, and roughly constant inference latency as task history grows.

Hugging Face daily papers·Sep 9, 20:00 UTC · 7d agoAI research

Google Links Redact Extortion Group to BlackFile Rebrand

Infosecurity Magazine·Aug 7, 09:40 UTC · Aug 7, 2026Ransomware

The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100

The 2026 PNPL competition releases LibriBrain100, a MEG speech dataset with 32 extra subjects, targeting word classification and cross-subject BCI generalization.

The 2025 PNPL competition on non-invasive speech decoding from MEG achieved F1-macro scores of 95.6% for speech detection and 73.6% for phoneme classification, built on LibriBrain's ~50 hours of single-subject data. The 2026 edition extends this with LibriBrain100, adding 32 subjects (~40 minutes each) plus ~80 hours of within-subject data. Two tracks target within-subject word classification at scale and cross-subject generalization with subject-specific fine-tuning shrinking from ~40 to ~20 to ~10 minutes, aiming at clinically feasible non-invasive BCIs for people with profound paralysis.

Hugging Face daily papers·Sep 2, 20:00 UTC · 14d agoAI research

Top 10 Best Patch Management Software in 2026

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

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

Cyber Security News·Sep 9, 07:54 UTC · 7d agoIndustry

llm 0.34

Version 0.34 of Simon Willison's llm CLI adds response-duration metrics to log output, plus bug fixes and faster log querying.

The open-source llm command-line tool for interacting with large language models released version 0.34. The headline change adds response duration in milliseconds and human-readable form to llm logs --usage Markdown output, plus a new duration_ms field in llm logs --short. The release includes several contributed bug fixes and a significant performance improvement to llm logs, alongside the related llm-openrouter 0.7.1 release.

Simon Willison·Sep 2, 19:23 UTC · 14d agoAI tools & infra1

Google Chrome 153 Update Fixes 42 Security Flaws, Including 3 Critical Ones

Google shipped Chrome 153 fixing 42 vulnerabilities, including three Critical use-after-free and out-of-bounds bugs, with no active exploitation reported.

Google's Chrome 153 Stable channel update (153.0.8010.47/.48 for Windows/macOS, 153.0.8010.47 for Linux) patches 42 vulnerabilities: three Critical, 27 High, ten Medium, and one Low. The Critical flaws are CVE-2026-91721 (use-after-free in Internals), CVE-2026-91749 (use-after-free in Workers), and CVE-2026-91726 (out-of-bounds read in WebGL). Google's bulletin states none of the patched issues are actively exploited, and detailed bug links remain restricted until most users receive the fixes. Bug bounty awards include $1,500 to Hafiizh for CVE-2026-91724 and $1,000 to Jihyeon Jeong of Seoul National University for CVE-2026-91728.

Cyber Security News·03:01 UTC · 18h agoVulnerabilityCVE-2026-91721CVE-2026-91749CVE-2026-91726+27 CVEs1

Large Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment Readiness

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.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 16:08 UTC · 12d agoAI research

Hackers Use ClickFix Lures to Deploy MacSync Stealer and Bypass macOS Security.

ClickFix malvertising campaigns deliver MacSync, a macOS infostealer sold as MaaS that bypasses Gatekeeper via Terminal commands and steals credentials.

Threat actors use ClickFix social-engineering lures, SEO poisoning, and malvertising impersonating brands like Claude, ChatGPT, Zoom, and Docker to trick users into pasting curl-to-zsh commands into Terminal, evading Gatekeeper and notarization checks. The MacSync Stealer (formerly Mac.c, emerged April 2025, linked to developer 'Mentalpositive') is a 64-bit Mach-O stager with single-byte XOR string obfuscation that daemonizes, polls C2 with custom API-key headers, streams AppleScript payloads into osascript, and persists via fake LaunchAgents. It steals browser credentials, Keychain data, SSH keys, session tokens, and crypto wallets, exfiltrating archives in 10MB HTTP PUT chunks. Microsoft documented more than 30 related MacSync domains.

GBHackers·updated Sep 10, 09:53 UTC · 6d ago·first Sep 10, 07:01 UTC · 6d agoMalware in the wild 2 sources

LLMs and Contextual Integrity

Bruce Schneier highlights two papers: the CIMemories benchmark shows frontier LLMs leak memory attributes up to 69%, and an RL method reduces inappropriate disclosures.

Bruce Schneier discusses contextual integrity in LLMs, referencing the CIMemories benchmark, which uses synthetic profiles with 100+ attributes per user to test whether models with persistent memory disclose sensitive information appropriately. Evaluation showed frontier models exhibit up to 69% attribute-level violations, with GPT-5's violation rate rising from 0.1% to 9.6% across 40 tasks and reaching 25.1% with repeated prompting, showing unstable leakage behavior. A second paper introduces a reinforcement learning framework trained on a synthetic 700-example dataset that substantially reduces inappropriate disclosure while maintaining task performance, with improvements transferring to the human-annotated PrivacyLens benchmark.

Schneier on Security·Aug 18, 10:40 UTC · 29d agoAI safety & security

Ivanti Patches 10 EPMM, Neurons for ITSM and Sentry Flaws Enabling RCE and Admin Access

Ivanti patches 10 flaws in EPMM, Neurons for ITSM, and Sentry, including two 9.8-rated unauthenticated RCEs in ITSM.

Ivanti released fixes for 10 vulnerabilities across Endpoint Manager Mobile, Neurons for ITSM, and Sentry, and said it was not aware of active exploitation at disclosure. The most severe are CVE-2026-12744 and CVE-2026-12745, unauthenticated deserialization RCEs rated 9.8 in Neurons for ITSM, alongside authenticated deserialization and missing-authorization RCEs rated up to 9.9. CVE-2026-18851 is an 8.8-rated EPMM privilege escalation to administrator, and CVE-2026-83527 is an 8.1-rated unauthenticated authentication bypass in Sentry granting administrative access. Ivanti said the ITSM weaknesses were found using large language models; Cloud/SaaS fixes shipped August 9, 2026, and on-premises patches are available from September 2026.

GBHackers·Sep 9, 06:34 UTC · 7d agoVulnerabilityCVE-2026-12744CVE-2026-12745CVE-2026-12651+7 CVEs

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

Researchers introduce NOAH, a time-aware generative transformer trained on 559 million MIMIC clinical events to forecast multimodal patient trajectories.

NOAH is a task-agnostic, time-aware generative transformer trained on over 559 million clinical events from 431,000 hospital visits by 299,000 patients across the MIMIC dataset family. It uses bidirectional time integration and a variational latent space to model the stochastic evolution of patient states, natively processing medical images, time-series signals, categorical events, and structured or unstructured clinical records. The model supports autoregressive forecasting with optional time control, zero-shot classification, and counterfactual intervention simulation, with strong probing performance across clinical outcomes, 15 ICD chapters, and 29 comorbidities.

Hugging Face daily papers·Sep 7, 20:00 UTC · 9d agoAI research1

Ivanti EPMM, Neurons and Sentry Vulnerabilities Enable Privilege Escalation and RCE Attacks

Ivanti patched ten CVEs across EPMM, Neurons for ITSM and Sentry, including critical unauthenticated deserialization RCE; no active exploitation reported.

On September 8, 2026, Ivanti disclosed advisories covering ten CVEs in Endpoint Manager Mobile (EPMM), Neurons for ITSM, and Sentry. The most severe are two unauthenticated deserialization RCE flaws in Neurons for ITSM, CVE-2026-12744 and CVE-2026-12745 (CVSS 9.8), plus three missing-authorization RCE bugs rated 9.9 and three authenticated deserialization RCE flaws. EPMM has CVE-2026-18851 (CVSS 8.8), an authenticated privilege escalation flaw, and Sentry has CVE-2026-83527 (CVSS 8.1), an authentication bypass. Ivanti reports no evidence of active exploitation; cloud/SaaS ITSM was patched on August 9, 2026, while on-premises 2025.2 through 2026.1 require September 2026 patches.

Cyber Security News·Sep 8, 15:42 UTC · 8d agoVulnerabilityCVE-2026-18851CVE-2026-12744CVE-2026-12745+7 CVEs

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

Researchers introduce NOAH, a generative time-aware transformer trained on 559 million MIMIC clinical events to model and forecast patient trajectories.

NOAH is a task-agnostic, time-aware generative transformer designed to represent and forecast the full multimodal patient journey across medical images, time-series signals, categorical events, and clinical text. It was trained on over 559 million clinical events from 431,000 hospital visits covering 299,000 patients in the MIMIC dataset family. The architecture combines bidirectional time integration with a variational latent space to capture continuous patient state evolution and clinical stochasticity. NOAH supports autoregressive forecasting with time control, zero-shot classification, and counterfactual intervention simulation, with evaluations on 15 ICD chapters, 29 comorbidities, and time-to-event prediction.

arXiv cs.AI / cs.LG / cs.CL·Sep 8, 17:56 UTC · 8d agoAI research2

Top 10 Best Endpoint Encryption Software in 2026

A 2026 roundup of ten endpoint encryption products argues the engines are solved and buyers should choose management layers like Intune, Sophos, or Trellix.

The guide ranks ten endpoint encryption options, arguing BitLocker and FileVault have won the engine war so the real purchase decision is the management layer for compliance proof, key escrow, and cross-platform policy. Microsoft BitLocker with Intune is named the baseline for Windows estates, with Sophos, ESET, Trend Micro, Check Point, Trellix, and others covering mixed or regulated fleets. It also warns that TrueCrypt-lineage freeware is unmaintained and that Kaspersky cannot be sold to US customers.

Cyber Security News·Sep 10, 08:15 UTC · 6d agoIndustry

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

A study finds LLM-synthesized CodeQL queries improve average F1-score by 82% over baseline queries, offering scalable vulnerability detection versus direct LLM scanning.

Researchers conducted an empirical study evaluating whether LLMs can synthesize executable CodeQL queries from National Vulnerability Database vulnerability data. LLM-generated queries significantly enhanced baseline CodeQL suites, yielding an 82% improvement in average F1-score across a diverse set of real-world vulnerabilities. A cost-benefit analysis shows direct LLM-based scanning of entire repositories is often computationally and financially prohibitive, while LLM query synthesis offers a scalable and cost-effective alternative for large-scale vulnerability detection.

arXiv cs.CR·Sep 9, 16:31 UTC · 7d agoResearch1

12 Best Endpoint Encryption Software Compared (2026): Features & Pricing

2026 buying guide compares 12 endpoint encryption tools, framing paid products as management layers over free BitLocker and VeraCrypt engines.

An editorial comparison evaluates twelve endpoint encryption offerings, arguing that full-disk encryption itself is largely solved with free options like Microsoft BitLocker and open-source VeraCrypt. Paid products such as Sophos Central Device Encryption, Broadcom Symantec Endpoint Encryption, and Check Point Full Disk Encryption are positioned around management: central enforcement, recovery-key escrow, pre-boot authentication, and compliance evidence. The guide also warns against unmaintained tools like Rohos for business use and stresses operational concerns over cipher selection.

GBHackers·updated 09:52 UTC · 11h ago·first Sep 11, 07:12 UTC · 5d agoIndustry 14 sources

Causal Foundation Models

A paper introduces causal foundation models (CFMs): pretrained networks that estimate treatment effects on new datasets via in-context learning without fine-tuning.

Causal foundation models (CFMs) apply the foundation-model paradigm to causal inference, replacing bespoke per-problem estimator pipelines with networks pretrained once at scale. CFMs estimate causal quantities such as the average treatment effect on entirely new datasets through in-context learning, without model updates. The work serves as a practical introduction to the emerging area, covering background in causal inference and machine learning and including example code and Jupyter notebooks.

Hugging Face daily papers·Sep 1, 20:00 UTC · 15d agoAI research

ConvMem: Convolutional Memory for Long-Context Reasoning

Researchers propose ConvMem, a training-free framework treating LLMs as convolutional kernels for parallelizable long-context reasoning beyond fixed context windows.

ConvMem reformulates long-context reasoning as a hierarchical convolution in which the LLM summarizes text segments hierarchically, shortening the reasoning path from a linear chain to a logarithmic tree. It uses configurable strides, skip connections, and multi-kernel convolution to capture evidence, decompose queries, and enable massive parallelization across segments and reasoning threads. On RULER-HotpotQA and RULER-2WikiMultiHopQA it outperforms training-free baselines and avoids the out-of-distribution overfitting seen in RL-trained approaches like MemAgent.

arXiv cs.AI / cs.LG / cs.CL·Sep 9, 16:53 UTC · 7d agoAI research

Plug 'n' Pray: Agentic LLM-based Detection of Potential Log File Exposures in Third-Party Content Management System Plugins

Agentic LLM analysis validates 79 log file exposures across 62 of the 300 most-installed WordPress plugins, covering 250M+ active installations.

Researchers built an agentic LLM-based framework combining static and dynamic analysis to automatically detect insecure log files created by WordPress plugins. Scanning the 300 most-installed plugins, which account for roughly 75% of all active installations in the official ecosystem, it produced 81 findings with 79 manually reproduced across 62 plugins. Insufficiently secured log files can disclose credentials and personal data and have led to website compromises. The authors derive a taxonomy of log path and protection patterns and best practices, finding multi-layered protection often absent.

arXiv cs.CR·Sep 15, 13:29 UTC · 1d agoResearch

Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning

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.

arXiv cs.AI / cs.LG / cs.CL·Sep 14, 17:19 UTC · 2d agoAI research1

Before You Poll with LLMs: A Deliberative Diagnostic Framework

Deliberative diagnostic shows all five tested frontier LLMs misrepresent human belief shifts after arguments, with GPT-5.1 reversing on outgroup questions.

The Deliberative Polling Diagnostic Framework compares human and LLM persona belief shifts after identical informational interventions, using data from America in One Room (526 personas, 72 questions). All five frontier models tested failed uniquely: GPT-5.1 exhibited partisan reversal (80% on outgroup vs 26% on policy questions), Gemini 2.0 Flash, Claude Sonnet 4.5 and Llama 3.3 70B overshot at 5-7x human magnitude, and DeepSeek V3 showed near-zero change (rigidity). The authors term the underlying signature 'self-sycophancy', conformity to the model's internal persona stereotype rather than reasoning from provided information.

arXiv cs.AI / cs.LG / cs.CL·Sep 14, 16:41 UTC · 2d agoAI research