Search: “benchmarks”

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What Breaks Local Watermarks? A Robustness Benchmark for Local Invisible Image Watermarking

First systematic robustness benchmark of five local invisible image watermarking methods across 55 transformations finds all are vulnerable, with inpainting and geometric misalignment completely breaking payload…

The paper presents the first systematic robustness benchmark for local invisible image watermarks, covering 55 image transformations across signal distortions, coordinate alignment changes, indirect local edits, and direct watermark edits. It evaluates five methods: MaskWM, WAM, OmniGuard, TrustMark, and PixelSeal, all supporting localization natively or with minimal adaptation. Results show every method is vulnerable to some transformation; MaskWM offers the strongest payload recovery and localization but the lowest clean-image quality, and synchronization further improves its recovery under geometric transformations. Geometric misalignment and generative local edits such as inpainting and outpainting can completely impair payload recovery, while signal distortions are often tolerated.

arXiv cs.CRSep 15, 08:30 UTC · 2d agoResearch

Bridging the First-Hour Gap: Evaluating AI Reliability and Benchmarking Deficiencies in Cyber Incident Response for Law Enforcement

Survey of playbooks, LLMs, RAG, and agentic AI for law-enforcement cyber first responders finds RAG most viable but benchmarks inadequate for legal requirements.

The paper surveys decision-support architectures (playbooks, LLMs, RAG frameworks, agentic AI) for frontline law enforcement during the first hour of a cyber incident, where volatile digital artifacts risk procedural errors and evidence attrition. RAG-based systems are identified as a relatively viable intermediate solution, though prompt sensitivity and confident hallucinations in legal contexts pose major risks. The authors find current cybersecurity benchmarks insufficient for law enforcement safety and legal demands, and argue for a new benchmark focused on naive query robustness and evidence preservation.

arXiv cs.CRSep 11, 10:25 UTC · 6d agoResearch

1Password's AI patching benchmark is misleading

Trail of Bits reanalysis says 1Password's 26% AI clean-fix rate is misleading; 86% of eligible patches blocked exploits.

Trail of Bits critiques 1Password's FLAWED AI patching benchmark, arguing its 26% clean-fix headline mixes trials where agents were instructed to apply wrong fixes (22% of data) with trials that prohibited compiling or testing (36%). Restricting to reasonable conditions, 2,634 of 3,067 patches (86%) blocked the supplied exploit. Trail of Bits also reports 12.5% of 2,265 developer first fixes failed in its own 2024-2026 assessments, and released post-patch-validation and review-walkthrough agent skills.

Lobsters · securitySep 15, 20:03 UTC · 1d agoResearch1

VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain Vulnerabilities

Introduces VEX-Bench, 75 expert-labeled real-world cases testing whether LLM agents can assess supply chain vulnerability exploitability; frontier models reach about 80% F1.

VEX-Bench is the first benchmark evaluating LLM agents on assessing whether upstream dependency vulnerabilities are exploitable in downstream projects, with 75 real-world expert-labeled cases across Python, Java, and Go mined from GitHub. Nine models across three agent harnesses were evaluated; GPT-5.5 and Claude Opus 4.6 reach approximately 80% F1 on binary vulnerability-status classification, but only GPT-5.5 surpasses 70% macro-F1 on fine-grained justification classification. The gap highlights the difficulty of moving beyond binary exploitability calls to explaining exploitability reasons, unlike prior benchmarks targeting zero-day settings.

arXiv cs.CRSep 7, 22:52 UTC · 9d agoResearch1

Can your coding style predict whether your code is vulnerable?

University of Massachusetts Dartmouth researchers present VulStyle, a stylometry-based vulnerability detector that also exposes benchmark reliability problems.

VulStyle combines stylometric features with syntax-tree structure and source tokens, pre-trained on about 4.9 million functions across seven programming languages and fine-tuned on five vulnerability detection datasets. It beat token-only detectors on some benchmarks but its F1 drops sharply on DiverseVul, which the authors link to noisy labels inflating reported performance across popular datasets. The authors argue style-aware detection should be harder to evade but did not test this empirically, and they note that uniform LLM-generated code may strip away the individual developer style the model depends on.

Help Net SecurityAug 24, 04:21 UTC · 24d agoResearch1

12 Best CNAPP Platforms Compared (2026): Features & Pricing

Independent comparison of 12 CNAPP platforms finds identical estates draw quotes 2-3x apart; Microsoft Defender for Cloud is the only fully published per-resource option.

A vendor-independent buyer's guide compares twelve CNAPP platforms including Prisma Cloud, CrowdStrike Falcon Cloud Security, Wiz, Uptycs, Aqua, Zscaler, and Microsoft Defender for Cloud on pricing mechanics, procurement leverage, and capability-per-dollar. It finds quotes swing 2-3x on identical estates because vendors define 'workload' differently. Microsoft Defender for Cloud is highlighted as the only major with fully published per-resource rates.

GBHackersSep 15, 06:49 UTC · 2d agoIndustry1

Rare Not Random Using Token Efficiency for Secrets Scanning

Researcher proposes token efficiency (string length divided by BPE token count) as a better post-regex filter than entropy for secrets scanning, validated on CredData.

The post explores whether Byte-Pair Encoding tokenization can replace Shannon entropy as the primary filter for candidate secrets captured by regex in tools like Gitleaks. It defines 'token efficiency' as string length divided by token count under the cl100k_base tokenizer; secret-like strings such as GitHub tokens tokenize into many small tokens and score low, while natural text scores high. Evaluating labeled secrets from the CredData dataset shows a usable separation, with roughly 2.5 suggested as a minimum cutoff versus Gitleaks' 3.5 entropy threshold. The technique is positioned as a post-regex filtering step rather than a standalone detector.

Lobsters · securitySep 12, 06:42 UTC · 5d agoResearch

Google’s open-source HEIR lets AI work with data it can’t see

Google open-sourced HEIR, a compiler toolchain that converts pre-trained AI models to operate on homomorphically encrypted data without exposing it.

Google's HEIR (Homomorphic Encryption Intermediate Representation) is an open-source compiler toolchain and development platform for fully homomorphic encryption, announced in 2023 and now supporting four peer-reviewed publications. It compiles Python programs handling sensitive data into implementations that process encrypted inputs, supporting multiple FHE schemes, libraries, front-end languages, and hardware accelerators such as GPUs, TPUs, FPGAs, and custom ASICs. Demonstrated applications include private recommendations, credit card fraud detection, network intrusion detection, and hotword recognition.

Help Net SecurityAug 18, 00:00 UTC · Aug 18, 2026Tools

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.CRSep 16, 10:50 UTC · 23h agoResearch

PIA-Bench: Towards Automated Privacy Impact Assessment with Large Language Models

Researchers release PIA-Bench, the first open benchmark evaluating how accurately LLMs can automate privacy impact assessments using 73 curated federal PIAs.

PIA-Bench is the first open benchmark for evaluating large language models on real-world privacy impact assessments (PIAs). The authors audited 499 expert-authored PIAs published by US federal agencies and curated 73 structured PIAs comprising 451 privacy risk items and 831 mitigation items. Off-the-shelf LLMs were found to produce meaningful assessments while identifying clear avenues for improvement. The paper calls for domain-specific LLM agent workflows, accountable LLM infrastructure, and new quality standards for PIAs.

arXiv cs.CRSep 11, 08:16 UTC · 6d agoResearch1

Domain-Incremental Learning for Multi-Channel Replay Speech Detection

First continual learning benchmark for multi-channel replay speech detection shows task-specific beamforming cuts catastrophic forgetting across 24 acoustic environments.

Researchers frame replay-attack detection for voice-controlled systems as domain-incremental learning over acoustic environments, evaluating a beamformer-based detector across all 24 environment orderings of the ReMASC corpus with five seeds. Naive sequential fine-tuning raises error rates on previously learned environments by 18.8 points, while elastic weight consolidation halves forgetting but loses plasticity and gradient projection memory is statistically indistinguishable from naive fine-tuning. A task-specific beamformer keeping one spatial front-end per environment significantly improves final and incremental accuracy, and the last environment in a sequence dominates final performance.

arXiv cs.CRSep 10, 08:03 UTC · 7d agoResearch1

The 12 Best Managed Detection & Response (MDR) Services, Compared and Priced

Buyer's guide compares 12 MDR services, naming Huntress best value, CrowdStrike Falcon Complete for response authority and Expel for transparency.

The article compares 12 managed detection and response providers across response authority, tool bundling and pricing, highlighting Huntress for published SMB pricing and CrowdStrike Falcon Complete for unilateral containment. It stresses the consolidation landscape: Sophos completed its acquisition of Secureworks in February 2025 for approximately $859 million, and Arctic Wolf closed its purchase of BlackBerry's Cylance endpoint assets the same month. It also warns that only full-response contract tiers isolate hosts and kill processes, while lower tiers only triage or guide.

GBHackersupdated Sep 9, 08:07 UTC · 8d agofirst Sep 9, 07:56 UTC · 8d agoIndustry 3 sources1

PrivEscalate: Measuring and Augmenting the Threat of LLM-Automated Linux Privilege Escalation

Researchers release PrivEscalate, a 531-scenario benchmark showing LLM agents' Linux privilege-escalation success varies by vulnerability class, plus PrivEscAgent, a domain-specialized agent that boosts success.

The paper introduces PrivEscalate, an open-source benchmark of 531 Dockerized Linux privilege-escalation scenarios spanning 14 sub-categories, plus 329 parameterized variants measuring sensitivity to environmental distractors. Evaluating six LLMs across three agent architectures shows capability is heterogeneous across vulnerability classes, sensitive to perturbation, and architecture-dependent. The authors also present PrivEscAgent, a wrapper adding deterministic enumeration, category matching, and step planning that outperforms prior privesc-agent baselines without modifying the underlying LLM. The benchmark is released to support LLM agent evaluation, defensive tool validation, and red-team training.

arXiv cs.CRSep 8, 17:34 UTC · 8d agoResearch1

Open-source secrets scanning tool Sift hunts credentials in Microsoft 365, Slack, and Jira

Stratus Security open-sourced Sift, a CLI secrets scanner covering Active Directory, SharePoint, Teams, Slack, Jira, and Confluence, outperforming Snaffler in benchmarks.

Stratus Security released Sift, a free open-source command line tool that hunts passwords, API keys, and sensitive data across local disks, Windows shares, Active Directory, SharePoint, OneDrive, Teams, Slack, Jira, and Confluence. In the firm's benchmarks, Sift scanned 250,000 files in 10.61 seconds versus Snaffler's 25.48 and averaged 92 MiB memory versus Snaffler's 337 MiB. Optional false-positive filtering runs through a local language model via Ollama, and scans write checkpoints so interrupted runs resume. The tool found thousands of credentials in Jira ticket comments that prior pentesting had missed.

Help Net SecuritySep 2, 00:00 UTC · 15d agoTools

The best human hacking team still out-solved the best AI team

Hack The Box 2026 benchmark data shows AI agents helped top teams but human-only teams still solved everything while best AI teams stalled at 32 of 36 challenges.

At the 2026 Global Cyber Skills Benchmark (Project Nightfall) run by Hack The Box, 93 designated AI agent accounts across 54 teams held 2.7% of registered accounts but produced 4.2% of submitted flags and 4.6% of awarded points, and appeared in 17 of the Top 25 finishers. Median solve time dropped from 26 hours in 2024 to 13.8 hours in 2026, though the data cannot attribute the change to AI. At the November 2025 NeuroGrid CTF, AI-augmented teams solved challenges 3.2x faster overall but only 1.69x among the Top 5%, and the only team to complete all 36 challenges was human, while the best AI team stopped at 32.

Help Net SecurityAug 27, 00:00 UTC · 21d agoResearch

CISA's logging guidance works beyond government

CISA released its Logging Reference Architecture in August 2026 to help federal agencies meet OMB M-26-14 logging requirements, usable as a benchmark by critical infrastructure operators.

CISA's Logging Reference Architecture (LRA), released in August 2026, helps US federal civilian agencies satisfy logging requirements in OMB Memorandum M-26-14 and explicitly encourages critical infrastructure operators to use it as a benchmark. The framework is organized around continuous event monitoring and threat hunting, investigation, response, and forensics, with a federal baseline of six months searchable and one year retrievable logs. Agencies must submit Agency Logging Plans within 90 days and work toward Advanced maturity within 320 days; the guidance also treats AI outputs as derived data requiring human review and preserved metadata.

Help Net SecurityAug 24, 00:00 UTC · 24d agoAdvisory

Banks look for fraud signals in customer behavior

ThreatMark's 2026 benchmark finds 55% of banks see social engineering in most fraud, pushing behavioral intelligence and earlier detection during customer sessions.

ThreatMark's Fraud Readiness Benchmark 2026 reports social engineering is involved in most fraud at 55% of surveyed banks, with criminals impersonating trusted people to make customers authorize payments using legitimate credentials. The report highlights behavioral intelligence as underused (18% adoption, 83% rating it effective), expects authorized push payment reimbursement regulation in North America within two years, and notes 91% agreement that AI can shorten fraud investigations. It also finds 81% of fraud professionals now carry cybersecurity responsibilities.

Help Net SecurityAug 19, 00:00 UTC · 29d agoPhishing & fraud

Top 10 Best Google Cloud (GCP) Security Tools in 2026

An editorial scorecard ranks the top ten Google Cloud security tools for 2026, with Wiz, Sysdig, and Security Command Center leading on correlation, GKE runtime, and native depth.

The roundup evaluates ten GCP security tools across five weighted criteria including GCP-native depth, correlation, runtime protection, multicloud parity, and value. Google Security Command Center is positioned as the included native floor, while Wiz and Sysdig top the weighted scores at 4.50, followed by Prisma Cloud at 4.40. The piece notes Forseti is deprecated and that Lacework is now Fortinet's FortiCNAPP, and flags diligence around Google's acquisition of Wiz. It is an editorial assessment, not a lab test, with pricing compared by model only.

Cyber Security News08:37 UTC · 1h agoIndustry

Top 10 Best Microsoft Azure Security Tools in 2026

An editorial roundup of the ten best Azure security tools in 2026 names Defender for Cloud the native floor, with Wiz, Orca, and Prisma Cloud leading third-party options.

The brief reviews ten Azure security tools, positioning Microsoft Defender for Cloud's free foundational tier and published per-resource plans as the rational starting point for every Azure estate. Wiz and Orca are shortlisted for agentless attack-path correlation, Prisma Cloud for multicloud breadth, CrowdStrike for runtime protection, and Tenable for CIEM depth with Entra permission analytics. The piece emphasizes Azure's tight identity-infrastructure coupling via Entra ID as both an operational advantage and its most critical risk surface. Scoring is editorial, not lab-tested, with pricing compared by model only.

Cyber Security News08:31 UTC · 2h agoIndustry

12 Best CIEM Tools Compared (2026): Features & Pricing

Buyer's guide compares twelve CIEM tools; Microsoft discontinued Entra Permissions Management, while Tenable (Ermetic), CyberArk, and Wiz lead the 2026 scorecard.

The scorecard evaluates twelve cloud infrastructure entitlement management vendors on permission analytics depth, JIT enforcement, non-human identity coverage, pricing predictability, and bundle leverage. Tenable (Ermetic) leads at 4.70, followed by CyberArk and Wiz, while Microsoft's retirement of Entra Permissions Management (CloudKnox) forces existing customers into migration cycles. Pricing structures span per-identity, per-resource, per-workload, credit-based, and quote-based models.

GBHackersSep 16, 07:37 UTC · 1d agoIndustry 2 sources

SEMA-GUARD: Semantic and Graph-Based Vulnerability Detection in Assembly Code

SEMA-GUARD uses semantic analysis and graph neural networks to detect vulnerabilities in assembly code, achieving 85.1% accuracy on a Juliet-derived benchmark.

SEMA-GUARD is a framework that detects vulnerabilities in compiled programs when source code is unavailable, targeting malware, firmware, and embedded systems analysis. It enriches control flow graphs with low-level execution semantics including stack manipulations, memory accesses, and data flow. Evaluated on a Juliet Test Suite set compiled to assembly and split into function-level chunks, it achieves 85.1% accuracy and an F1 score of 0.801, outperforming purely statistical or structural approaches.

arXiv cs.CRSep 15, 14:35 UTC · 1d agoResearch1

TasmScan: Continuation-Aware Taint Analysis for TVM Bytecode with Savelist Abstraction

TasmScan introduces source-free taint analysis for TON smart-contract bytecode, detecting 95.3% of defects with 96.8% precision and 17x speedup.

TasmScan is the first bytecode-level static analysis framework for the TON Virtual Machine, enabling cross-continuation data flow reasoning without source code by modeling savelist semantics through forward register analysis with formal over-approximation guarantees. It lifts bytecode into a typed intermediate representation (TASIR) and performs path-sensitive taint analysis. On a 208-contract benchmark with human-confirmed ground truth it detects 95.3% of defects across five classes at 96.8% precision, and resolves 294,546 dynamic continuation targets with 100% precision across 2,921 registry contracts. It achieves a 17x median speedup over symbolic-execution baselines.

arXiv cs.CRSep 15, 11:01 UTC · 1d agoResearch1

Fresh-Challenge VDF Attestations for Model-Relative Response Latency

Fresh-Challenge VDF Attestations bind verifiable delay functions to unpredictable public challenges, yielding succinct evidence of model-relative response latency.

The paper specifies FCLA, a protocol composition that binds a VDF to an unpredictable public challenge, a message, and independently auditable release/receipt records. Under explicit assumptions about VDF sequentiality and a calibrated bound on an adversary's sequential evaluation rate, an accepted transcript is inconsistent with post-challenge generation. A benchmark of the public reference implementation confirms the expected evaluation-versus-verification separation on one documented machine. The contribution is a protocol design analysis, not a new VDF construction.

arXiv cs.CRSep 11, 11:25 UTC · 5d agoResearch

A First-Principles Evaluation of Graph-Based Network Intrusion Detection Systems

GIDS-Eval framework reveals evaluation gaps in graph-based network intrusion detection; two crafted edges fully evade three detector-dataset pairs.

Researchers introduce GIDS-Eval, a framework decomposing graph-based network intrusion detection systems into six interchangeable stages to enable controlled comparisons. Surveying nine GIDS and reimplementing five, they find two crafted edges achieve full evasion against three of eight detector-dataset pairs, snapshot windows alone cause a mean 38.3% relative swing in average precision, and none of 18 replayed detector-dataset pairs can alert as events arrive. Their encoder-free GIDS-Lite control ranks first by AP on two of four datasets at up to 575x lower runtime.

arXiv cs.CRSep 10, 22:38 UTC · 6d agoResearch1

SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

SpyCloud survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.

The 2026 Identity Threat Report surveyed 750 cybersecurity leaders at organizations with 500+ employees across North America and Europe. Compromised non-human identities (31%) were the most cited primary attacker entry point, nearly double phishing (17%), while only 36% of organizations monitor AI agents, service accounts and API keys. 68% of respondents reported identity-based events, averaging eight each, and 91% use AI tools but only 56% have formal governance over their privileges.

GBHackersSep 9, 12:54 UTC · 7d agoResearch 2 sources

SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

SpyCloud's 2026 survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.

SpyCloud's Identity Threat Report, based on a survey of 750 cybersecurity leaders at organizations with 500+ employees, found compromised non-human identities (31%) were nearly twice as likely as phishing (17%) to be the primary attacker entry point. 68% of organizations reported identity-based events averaging eight each, while 95% believe they have visibility into AI and NHI exposures but only 36% actually monitor them. The report also found 91% use AI tools with internal access but only 56% have formal governance, and introduces an Identity Threat Protection Maturity Model.

CSO OnlineSep 9, 12:00 UTC · 7d agoIndustry

Towards Standardized Evaluation of GPU Memory Safety with GMSBench

GMSBench provides 149 CUDA tests covering spatial, temporal, and concurrency GPU memory errors, exposing detection gaps in Compute Sanitizer.

GMSBench is a GPU memory safety benchmark comprising 149 self-contained CUDA tests spanning spatial, temporal, and concurrency errors across different GPU memory spaces and execution scenarios. The authors evaluate NVIDIA's Compute Sanitizer across multiple GPU architectures using the suite, exposing gaps in its detection coverage. The benchmark offers a standardized foundation for comparative evaluation of GPU memory safety mechanisms.

arXiv cs.CRSep 8, 15:11 UTC · 8d agoResearch

Recorded Future Launches Impact and Metrics Dashboard

Recorded Future releases an Impact and Metrics Dashboard aggregating risk-reduction, detection, and analyst-efficiency metrics for customer leadership reporting.

The dashboard pulls data from a customer's environment, alerts, integrations, threat detections, and analyst activity into six metric areas: platform-wide security value, threat prioritization, threat detection, digital risk protection, account and credential monitoring, and Recorded Future AI and Insikt Group research usage. It is available now to all Recorded Future customers, who are advised to configure Priority Intelligence Requirements in Settings so reporting maps to their intelligence program. The vendor cites its 2025 ROI Report across nearly 300 customers reporting 351.3% annual ROI and says customers aligning alerting to PIRs identified new threats 65% faster.

Recorded FutureAug 24, 00:00 UTC · 24d agoTools

Cyber Adversary Simulation (CyAS): scheme documents now available

NCSC published adversary simulation guidance and the first Cyber Adversary Simulation (CyAS) scheme documents ahead of the scheme's November 2026 launch.

The UK NCSC released guidance on adversary simulation engagements and the first CyAS scheme documents, including the Scheme Standard and the Working Practices Document. The capability-led scheme, developed with cyber oversight bodies, will formally launch in November 2026 and assess companies seeking NCSC-assured provider status. NCSC describes the current version as a minimum viable product to be refined with feedback from buyers and providers.

NCSC UK09:09 UTC · 1h agoAdvisory 2 sources

Differential Trust: Dynamic Multi-Authority Anonymous Credentials with Epoch-Weighted Updates

Researchers propose MA-ACEW, the first multi-authority anonymous credential model with epoch-weighted issuance and efficient cross-epoch credential updates.

The paper introduces MA-ACEW, a multi-authority anonymous credential scheme that weights authorities differently during credential issuance, targeting decentralized systems such as Proof-of-Stake networks. Its core primitive, Epoch-Bound Pointcheval-Sanders Signatures (EB-PS), binds signatures to time epochs, enabling non-interactive credential updates when authority weight distributions change. The authors formalize EUF-eCMA unforgeability and prove unforgeability, anonymity, and blindness under a novel STB-GPS assumption. Aggregating a credential from 128 partial credentials takes about 10.68 ms on average.

arXiv cs.CRSep 16, 15:21 UTC · 19h agoResearch

s-MDM: Generative Virtualization of Multi-Device Hardware Variations for Portable DL-SCA

Researchers present s-MDM, a generative framework synthesizing virtual device profiles to improve cross-device portability of deep learning side-channel analysis.

The poster introduces the Synthetic Multiple Device Model (s-MDM), a zero-target-trace generative framework addressing performance degradation of deep learning side-channel analysis on unseen hardware. It combines a structured cVAE generator, Walsh-Hadamard leakage anchors, continuous style modulation, and decoupled leakage-style-domain critics to synthesize virtual source-device profiles offline. Benchmarked on 32-bit AES_PTv2 traces, s-MDM achieves consistently low key rank on layout- and acquisition-shifted Pinata targets where physical baselines are unstable.

arXiv cs.CRSep 16, 15:04 UTC · 19h agoResearch

Echo: Learning-based Matching Decompilation using Trusted Back Translation

Researchers introduce Echo, a matching decompiler using trusted back-translation that roughly doubles exact-match rates and outperforms GPT-5.6 and Codex on Mirai.

Echo performs matching decompilation by using compilation as trusted feedback for iterative search: a domain-specific model generates candidate code and compilation configurations, which are recompiled, compared at assembly level, and repaired via rule-based rewriting, neural refinement, and reasoning-based refinement. On function-level benchmarks, Echo produces 2.43x more exact matches than the strongest baseline and the highest structural similarity to ground truth. On the Mirai malware binary, it matches 2.75x and 7.4x as many functions as GPT-5.6 and Codex, respectively.

arXiv cs.CRSep 16, 14:14 UTC · 20h agoResearch

Top 10 Best AWS Security Tools in 2026

Editorial roundup ranking the ten best AWS security tools of 2026, from native GuardDuty and Security Hub to CNAPPs like Wiz and Prisma Cloud.

The article recommends enabling AWS-native services first: GuardDuty for threat detection, Security Hub for posture aggregation, the free IAM Access Analyzer, plus CloudTrail logging and Config rules. It then reviews third-party platforms including Wiz, Palo Alto Prisma Cloud, CrowdStrike Falcon Cloud Security, Trend Micro Cloud One, and Orca Security. It is an editorial vendor assessment with pricing described by model only, highlighting cross-account correlation and attack-path prioritization as third-party differentiators.

Cyber Security NewsSep 16, 09:57 UTC · 1d agoTools

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 NewsSep 16, 09:50 UTC · 1d agoTools

Major Cyber Threat Detection Vendors Shift from MITRE to UK Testing Program

SE Labs launched PIVOT, a six-month vendor detection testing program backed by CrowdStrike, Fortinet, Palo Alto Networks and Sophos, as major vendors exit MITRE evaluations.

SE Labs unveiled PIVOT on September 15, a six-month testing program in which its ethical hackers replicate nation-state and criminal attack chains against participating vendor products, with results due January 2027. Broadcom (Symantec/Carbon Black), CrowdStrike, Fortinet, Palo Alto Networks and Sophos have confirmed participation, and Gartner and Forrester analysts will verify the underlying evidence before publication. The launch follows declining participation in MITRE Engenuity ATT&CK Evaluations: Enterprise, which fell from 30 vendors in 2023 to 11 in 2025 after public withdrawals by Microsoft, SentinelOne and Palo Alto Networks.

Infosecurity Magazineupdated 08:33 UTC · 1h agofirst Sep 16, 09:00 UTC · 1d agoIndustry 12 sources

Top 10 Best Cloud Detection & Response (CDR) Solutions in 2026

Editorial scorecard ranks ten 2026 cloud detection and response platforms; Sysdig, Wiz, and CrowdStrike lead, with Wiz's Gem Security acquisition highlighted.

The editorial scorecard rates ten CDR platforms on real-time detection (30%), cloud telemetry depth, response automation, correlation, and value. Sysdig earns the best real-time detection score for its Falco- and eBPF-powered runtime telemetry, Wiz (8.7) folds acquired Gem Security's real-time CDR into its security graph, and CrowdStrike (8.7) leads response automation. Specialists Stream.Security, Skyhawk Security, Sweet Security, and the open-source Falco project are also assessed.

Cyber Security NewsSep 16, 07:41 UTC · 1d agoIndustry1

AI the Top Priority for New Spend as Cyber Budgets Flatline

IANS survey of 500 US CISOs finds AI is the top priority for net-new security budget even as overall cybersecurity budgets stay flat.

IANS's 2026 Security Budget Benchmark Report, based on interviews with 500 US security executives, found AI was the most popular focus for incremental budget, cited by 69% of respondents. Software now accounts for 35% of the security budget in 2026, up from 29% last year, nearly matching staff and compensation. Overall median budget growth remained flat, with 55% keeping budgets flat or making cuts, while 71% of VC-backed companies increased security budgets versus 52% of public companies. Most CISOs (69%) do not expect AI to cut headcount, and 81% anticipate it creating demand for new roles and skills.

Infosecurity MagazineSep 15, 13:00 UTC · 1d agoIndustry

11 Best CSPM Tools Compared (2026): Features & Pricing

CSPM comparison ranks Wiz first for agentless attack-path analysis; notes Ermetic absorbed into Tenable and Lacework into Fortinet FortiCNAPP.

An editorial comparison of eleven CSPM tools ranks Wiz as the agentless attack-path momentum leader, Prisma Cloud as the breadth benchmark, and Orca as the agentless SideScanning pioneer. It highlights consolidation: Ermetic now powers Tenable Cloud Security and Lacework became Fortinet's FortiCNAPP. The guide recommends starting with free tiers from Defender for Cloud, Prowler, and native cloud tools before buying.

GBHackersSep 15, 06:37 UTC · 2d agoIndustry1