Search: “evaluation framework”

34 stories in the last 3d

Searchkeyword smart Sortlatest hot importance relevance

DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Research 16 Industry 12 Tools 6 Vulnerability 2 Policy & legal 1

SeverityAll critical 0 high 2 medium 1 low 2 info 32

Evaluating the NIST Bugs Framework Against CWE as a Successor for Automated Vulnerability Classification

NIST Bugs Framework evaluation shows it is more structured and automation-friendly than CWE for automated vulnerability classification, with gaps in attribute guidance.

The paper evaluates NIST SP 800-231's Bugs Framework (BF) against CWE as a target for automated CVE classification using a systematically screened corpus of CVE-to-CWE research. An inter-rater study with 2 subject-matter experts mapping 13 CVEs showed strong agreement on BF's cause and operation axes but only fair agreement on the attribute axis. Automated classification was tested across two LLM deployments under different budgets, and findings support BF as more structured and automation-friendly than CWE, though gaps include under-specified attribute guidance and missing fix commits for closed-source software.

arXiv cs.CRSep 14, 23:18 UTC · 2d agoResearch1

RobResilience: Implementing and Evaluating a Resilience Framework for Cyber-Physical Embodied Systems

RobResilience implements a runtime resilience framework for robots in Webots/ROS2, evaluating tolerable disruption, degradation, and mitigation feasibility across eight attack scenarios.

The paper implements a formal resilience framework for embodied cyber-physical systems using a PR2 robot and ROS2 in a Webots simulation. At runtime it evaluates three predicates — tolerable disruption (δ), tolerable degradation (γ), and mitigation feasibility (μ) — over a compromised device set derived from IDS confidence scores, triggering mitigation strategies when resilience is lost. Eight attack scenarios systematically covering the full predicate state space confirm runtime behavior matches theoretical definitions. The work addresses 'graceful failure paralysis,' where autonomous systems cannot distinguish safe degraded states from catastrophic hazards during attacks.

arXiv cs.CRSep 15, 15:49 UTC · 1d agoResearch

Cybersecurity jobs available right now: September 15, 2026

Help Net Security's weekly roundup lists cybersecurity job openings worldwide, from CISO roles to cloud security engineers at firms like Adobe, JPMorgan Chase, and PwC.

Help Net Security's September 15, 2026 job roundup lists cybersecurity openings across India, USA, UK, Australia, Canada, Israel, UAE, Ireland, and Denmark. Roles include a CISO at Texas Health and Human Services, a GenAI CBRNE Cyber Security Expert at Alice, and security engineering positions at Adobe, JPMorgan Chase, PwC, and the Reserve Bank of Australia. Several openings focus on AI security, including red-teaming AI models and securing AI agent platforms.

Help Net SecuritySep 14, 22:15 UTC · 2d agoIndustry1

ROSETTA: Efficient and Accurate Privacy-Preserving LLM Decoding via Hybrid CKKS/TFHE Evaluation

ROSETTA is a hybrid CKKS/TFHE homomorphic encryption framework for privacy-preserving LLM decoding, achieving up to 4.8x Softmax and 2.1x end-to-end speedups.

The paper proposes ROSETTA, a hybrid CKKS/TFHE fully homomorphic encryption framework for private inference on generative LLMs, targeting the nonlinear operations that dominate autoregressive decoding cost. It introduces an adaptive segmented lookup-table protocol based on TFHE and a scheme-aware operator-selection framework that assigns each nonlinear operator to CKKS or TFHE to minimize latency. Experiments show up to 4.8x Softmax speedup and 1.5-2.1x end-to-end decoding speedup over the state-of-the-art CacheMir framework.

arXiv cs.CRSep 15, 09:51 UTC · 1d agoResearch

GAUGE: A Formal Framework for Measuring Cryptographic Security under Heterogeneous Adversary Cost Models

GAUGE frames cryptographic security as profiles over adversary cost models, certifying a ranking reversal between ML-KEM-512 and AES-128 from a 4–5% memory pricing shift.

GAUGE represents cryptographic security as a function over admissible adversary cost models (a security profile), proves profiles are piecewise-linear and concave, and establishes a rating trilemma when two profiles cross. A polynomial-time linear-programming procedure certifies whether the ranking of two schemes is robust, reverses under admissible models, or is genuinely incomparable. Applied to NIST post-quantum standards, the framework certifies a ML-KEM-512 versus AES-128 ranking reversal from a 4–5% shift in memory pricing and measures lattice-sieving cost drift of 9.79 bits per year over eight years. A hybrid X25519 + ML-KEM-768 handshake reduces combined-break probability twenty-fold at a 2.3 kilobyte cost.

arXiv cs.CRSep 15, 14:55 UTC · 1d agoResearch

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.aiSep 16, 16:56 UTC · 11h agoIndustry 2 sources

MarkSec: Capability-Aware Evaluation of Adversarial Attacks Against LLM Watermarks

MarkSec unifies evaluation of stealing, scrubbing, and spoofing attacks against LLM watermarks with quality-constrained success metrics under shared reporting protocols.

MarkSec is a framework unifying analysis of stealing, scrubbing, and spoofing attacks against LLM watermarks under shared detector calibration, metric definitions, and reporting protocols. It introduces a quality-constrained attack success metric that jointly assesses attack effectiveness and text quality. Experiments across representative watermark families, attacks, LLMs, and datasets show that attacks strongest by watermark removal alone can fall behind general rewriting when success requires acceptable text quality, and stealing-based scrubbers often underperform the best general-scrubbing baselines.

arXiv cs.CRSep 15, 06:02 UTC · 1d agoResearch

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 Sep 16, 09:52 UTC · 18h agofirst Sep 16, 09:00 UTC · 19h agoIndustry 14 sources

CVE-2026-86089: Apache NiFi: Missing Process Group Authorization for Connector Migration

Apache NiFi 2.11.0 Connector Migration REST APIs authorize only against the target Connector, skipping Process Group access checks (CVE-2026-86089, Low).

Apache NiFi 2.11.0 supports migrating version-controlled Process Group contents into a Connector via REST API methods that list eligible migration sources and submit migration requests. Both methods were authorized only against the target Connector, without evaluating user access to the involved Process Groups. The flaw, tracked as CVE-2026-86089, is rated Low severity and affects the nifi-web-api component.

oss-securitySep 16, 15:19 UTC · 13h agoVulnerability 4 sources CVE-2026-86089

Illusion of Depth: Revealing Hidden Stereo Vision Vulnerabilities in Depth Estimation

Simple repeating patterns let attackers shift stereo-camera depth estimates by up to 20 meters, triggering emergency braking in autonomous driving frameworks at 40 km/h.

The paper reveals an intrinsic vulnerability in stereo cameras stemming from pixel sampling and calibration processes, letting attackers finely control estimated depth of real obstacles using simple repeating patterns without adversarial ML techniques. The attack was evaluated against BM and SGBM stereo matching algorithms, deep learning models PSMNet, MoCha-Stereo, and UniMatch, the stereo-LiDAR fusion model SGM-DDC, and commercial cameras ZED2 and Intel RealSense D435; on ZED2, obstacles can be displaced up to 20 meters farther or 12 meters closer. A 0.5-second attack triggered emergency braking in a popular autonomous driving framework, with feasibility confirmed at driving speeds up to 40 km/h using CARLA. State-of-the-art defenses proved ineffective, and the authors propose a similarity-score strategy to dynamically detect and suppress depth discrepancies.

arXiv cs.CRSep 14, 20:51 UTC · 2d agoResearch

From Hypervisor to Container: Cloud Security Vulnerabilities, Defense Mechanisms, and Open Challenges

Survey of 120+ cloud security papers (2008-2025) reviews hypervisor and container isolation attacks, scoring defenses with the ADPO framework and CIA impact scale.

This survey reviews over 120 security publications from 2008 to 2025 on breaches of cloud isolation boundaries via virtual machines and containers. Threats examined include VM escape, VM hopping, CPU cache side-channels, container breakouts, vulnerable container images, and DDoS attacks. The authors introduce ADPO, a 0-3 scoring framework rating defenses on accuracy, deployment ease, performance impact, and operational overhead, plus a 1-5 CIA severity mapping for attack impact.

arXiv cs.CRSep 15, 05:57 UTC · 1d agoResearch

Apple Rolls Out Massive Security Update Fixing 273 Vulnerabilities Across Its Devices

Apple's coordinated rollout patches 273 unique vulnerabilities across iOS 27, macOS Golden Gate 27, watchOS and Safari, including remote code execution flaws.

Apple shipped one of its largest coordinated security updates on September 14, 2026, fixing 273 unique CVEs across iOS 27, iPadOS 27, macOS Golden Gate 27, watchOS 27, tvOS 27, visionOS 27, Safari 27 and Xcode 27. Highlights include CVE-2026-65414, a Bluetooth out-of-bounds write enabling remote code execution, and CVE-2026-84607, an AVEVideoEncoder race condition granting kernel privileges to sandboxed apps. macOS Golden Gate 27 covers the broadest set with 210 CVEs, and Apple states none of the flaws were exploited in the wild.

Cyber Security NewsSep 15, 15:51 UTC · 1d agoVulnerability CVE-2026-65414 CVE-2026-84607 CVE-2026-64752+7 CVEs1

25 Years of Mass Surveillance Is Enough

Bruce Schneier and Cindy Cohn argue post-9/11 mass surveillance expanded far beyond its counterterrorism justification and should be reevaluated for costs to rights.

An essay by Bruce Schneier and Cindy Cohn (originally in Lawfare) traces the post-9/11 shift from targeted surveillance to mass collection of telephone and internet metadata. It cites the Section 215 bulk phone records program, struck down in interpretation by the Second Circuit in 2015 and curtailed by the USA Freedom Act, and the NSA's Upstream program under Section 702 of the 2008 FISA Amendments Act, which ended content searches in 2017. The authors note mass surveillance now serves routine law enforcement and immigration actions, with FBI Director Kash Patel confirming purchases of Americans' data from brokers, and private systems like Flock license plate readers and venue facial recognition feeding government access.

Schneier on SecuritySep 15, 11:01 UTC · 1d agoPolicy & legal

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.CRSep 15, 13:29 UTC · 1d agoResearch

Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams

An event-native spike encoding framework lets recurrent spiking neural networks run intrusion detection directly on heterogeneous packet and CAN bus streams.

The paper maps heterogeneous cyber events—categorical identifiers, local frequency context, and inter-event timing—directly into sparse spike-compatible inputs for spiking neural networks. This avoids flow aggregation and fixed windows that add buffering latency and obscure temporal structure in traditional IDS pipelines. Compact recurrent SNNs under edge-oriented neuromorphic hardware constraints achieve a hybrid anomaly metric of 0.987 on packet-level Network IDS and 0.980 on message-level CAN IDS.

arXiv cs.CRSep 14, 15:55 UTC · 2d agoResearch1

When Agents Look Like Beacons: NIDS Evasion by Model Context Protocol Trafficnew

Research shows Model Context Protocol agent traffic structurally resembles C2 beaconing and evades Suricata signatures and RITA behavioral scoring in testbeds.

An arXiv study demonstrates that Model Context Protocol (MCP) JSON-RPC traffic over Streamable HTTP mimics the polling patterns of C2 frameworks like Cobalt Strike and is not flagged as anomalous by standard enterprise defenses. In a Docker testbed with eleven traffic profiles across three TLS conditions, Suricata with the Emerging Threats Open ruleset produced near-zero alerts and RITA assigned a consistent 0.0 beacon score, regardless of jitter or TLS inspection. The authors propose an agent-native network indication standard using Agent-Native ALPN and out-of-band headers.

arXiv cs.CRSep 16, 17:27 UTC · 11h agoResearch

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

F5 Bot Defense uses real-time risk scoring to detect fraud and abuse

F5 enhances Distributed Cloud Bot Defense with persistent device identification, real-time risk scoring, and agent-aware policies to manage AI agent traffic.

F5 announced enhancements to Distributed Cloud Bot Defense adding persistent device identification, real-time device risk scoring, risk-based workflow enforcement, and an agent-aware policy framework integrated with the F5 Application Delivery and Security Platform. The features aim to expose multi-account abuse, credential stuffing, and account takeover while allowing trusted AI agents to transact at machine speed. It targets fraud and abuse detection as agentic AI becomes a key interaction channel for sites, apps, and APIs.

Help Net SecuritySep 15, 13:55 UTC · 1d agoTools

Hamming Ideals and Grobner Bases for ISD-like Syndrome Decodingnew

Researchers combine Grobner bases with Information Set Decoding for syndrome decoding, testing feasibility against Classic McEliece NIST Category 1 parameters.

The paper proposes GBDecode, an ISD-like decoding algorithm that fixes only a subset of an information set and solves the resulting multivariate nonlinear systems via MultiSolve, which replaces one Grobner basis computation with many computations on simpler systems. Hamming weight constraints are reformulated using elementary symmetric functions and Lucas' identity factorizations to bound equation degree. Experiments on random binary linear codes use parameters matching the NIST Security Category 1 set of the Classic McEliece cryptosystem, assessing practical feasibility rather than breaking the scheme.

arXiv cs.CRSep 16, 16:05 UTC · 12h agoResearch

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 agoResearch

HYDRA: Quantifying Botnet Resource Thresholds for Efficient Link-Flooding Attacks on LEO Satellite Networks

HYDRA models link-flooding attacks on LEO satellite constellations as botnet minimization, matching prior disruption with 34% fewer bots and 23% less traffic.

HYDRA formulates link-flooding attack variants against LEO constellations such as Starlink and Kuiper as botnet minimization problems, quantifying the smallest bot subset and traffic allocation needed to disrupt communications between targeted geographic areas. Under matched stealth constraints it matches the ICARUS attack's disruption using 34% fewer bots and 23% less aggregate traffic, sustaining over 97% attack success as topology evolves. The framework also evaluates five mitigations, including routing diversification, ingress policing, distance-based constraints, source throttling, and botnet attrition.

arXiv cs.CRSep 14, 15:00 UTC · 2d agoResearch

Automating Attack Graph Construction for Agentic Pentesting. Towards Neuro-Symbolic Vulnerability Hunting

Semi-automated pipeline converts Trivy, Semgrep, Nmap output into MulVAL attack graphs for agentic pentesting, 53.7% mean vulnerability coverage in CyBench.

The paper presents a semi-automated pipeline that parses Trivy, Semgrep, and Nmap findings into MulVAL predicates and uses an LLM-assisted process to build domain-specific Datalog rules linking scanner evidence to attack techniques. MulVAL/XSB then performs symbolic inference to generate structured, auditable attack paths for agentic pentesting. Evaluated on 54 web CTF tasks from CyBench, every task produced at least one goal-reaching graph with 53.7% mean ground-truth vulnerability coverage, 51.9% full coverage, and an 83.9% noise-path rate. Median end-to-end runtime was 24.9 seconds, making the pipeline runtime-practical for agentic workflows.

arXiv cs.CRSep 14, 13:13 UTC · 2d agoResearch

Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models

QPriv-VL prunes privacy-sensitive visual tokens in federated/split VQA, cutting membership-inference success on VQA-RAD from 0.99 to 0.76-0.79 using ~40% of tokens.

The paper proposes QPriv-VL, a question-guided token-pruning framework for federated, split, and U-shaped split learning that suppresses privacy-sensitive visual patches before transmission. Its Dynamic Threshold Predictor combines cross-modal question relevance with frozen DINOv2-derived sensitivity to compute a per-sample pruning ratio and retention mask in one forward pass, without sensitivity labels. Evaluated on GQA, OK-VQA, VQAv2, SLAKE, VQA-RAD, and PathVQA against FSHA, FORA, iDLG, and attribute-inference membership inference attacks, it matches or beats fixed-ratio pruning. On VQA-RAD it reduces membership-inference success from 0.99 to 0.76-0.79 while preserving competitive accuracy with about 40% of the original token budget.

arXiv cs.CRSep 14, 14:48 UTC · 2d agoResearch

DeepZero: Open-source hunting for vulnerable Windows drivers

DeepZero, a new open-source engine, automates discovery of exploitable Windows kernel drivers for BYOVD attacks using Ghidra, Semgrep, and an LLM.

DeepZero is a free, open-source Python pipeline orchestrator that automates hunting for exploitable Windows kernel drivers relevant to BYOVD (bring your own vulnerable driver) attacks. Its seven-stage YAML pipeline parses PE headers, filters for kernel-mode drivers with IOCTL surfaces, excludes drivers listed on loldrivers.io, then runs headless Ghidra decompilation, Semgrep scanning, and an LLM-based exploitability assessment. The maintainer reports multiple verified vulnerabilities in the Snappy Driver Installer corpus, some still in the disclosure process, and notes findings involving plug-and-play-created device objects may need physical hardware to confirm.

Help Net SecuritySep 16, 05:30 UTC · 23h agoTools

Cohesity adds recovery capabilities for AI agents and the data they manage

Cohesity launched Agent Resilience to discover, protect, and recover AI agent memory, configuration, and agent-managed data, debuting with Amazon Bedrock integration.

At Cohesity Catalyst, Cohesity introduced Agent Resilience within Cohesity Data Cloud, protecting AI agent memory and configuration with snapshot architecture, immutable backups, and clean-room recovery, plus recovery for databases and file systems that agents manage. It launches with Amazon Bedrock integration, support for Microsoft and Google platforms planned, and general availability targeted for year-end. The company cited Gartner's prediction that up to 40% of enterprise applications will include task-specific agents by 2026, and Cohesity research showing 56% of organizations are unprepared to detect or contain unintended agent actions while 58% lack confidence in verifying AI model integrity after attacks. Cohesity also outlined an Autonomous Cyber Resilience vision using agentic workflows and introduced the AI Resilience Academy.

Help Net SecuritySep 16, 10:58 UTC · 17h agoTools

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 · 1d agoIndustry1

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 · 1d agoIndustry1

Rapid7 Named Among Notable Vendors in Forrester MDR Landscape: Why the Future is Exposure-informed, Preemptive MDR

Rapid7 touts its listing in Forrester's Q3 2026 MDR Landscape, arguing MDR must converge with exposure management for measurable risk reduction.

Forrester's Managed Detection and Response Services Landscape, Q3 2026 names Rapid7 among notable providers and predicts MDR services will converge with exposure and posture improvement. Rapid7 pitches its exposure-informed, preemptive MDR built on its own SIEM, combining vulnerability findings and asset risk scoring with detection and response. The service includes unlimited incident response and a human-led, AI-enhanced investigation model. Forrester advises buyers to demand providers prove investigations rather than narrate dashboards.

Rapid7 BlogSep 14, 14:51 UTC · 2d agoIndustry

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 · 18h agoTools

12 Best Enterprise Browsers Compared (2026): Features & Pricing

2026 comparison of twelve enterprise browsers ranks Island and Palo Alto Talon as purpose-built leaders, with Chrome Enterprise and Edge free or bundled.

Guide compares twelve enterprise browser options across three models: purpose-built secure browsers (Island, Talon, Surf), layered controls on existing browsers (Chrome Enterprise, Edge for Business, LayerX, Seraphic), and streamed/isolated browsers (Kasm). Island and Palo Alto's Prisma Access Browser lead the purpose-built category for BYOD and contractor DLP. It also notes Mammoth Cyber has ceased operations.

GBHackersSep 15, 06:32 UTC · 1d agoTools

Top 10 Best Kubernetes Security Tools in 2026

Top 10 Kubernetes security tools roundup highlights Sysdig and Aqua as specialists plus strong free options Kubescape, Calico, and Falco.

A buying guide ranks ten Kubernetes security tools across admission control, network policy, runtime detection, and posture management. Sysdig leads runtime depth, Aqua leads full lifecycle, Red Hat ACS owns OpenShift estates, and Wiz offers agentless graph correlation. The guide notes this category has cloud security's strongest open-source floor with Kubescape, Calico, and Falco.

Cyber Security NewsSep 15, 06:41 UTC · 1d agoIndustry1

Top 10 Best Cloud Infrastructure Entitlement Management (CIEM) Tools in 2026

2026 CIEM guide ranks Wiz, Prisma Cloud, Okta, Entra Permissions Management and specialists Sonrai, Britive, Tenable/Ermetic for cloud entitlement right-sizing.

Buyer's guide covers ten CIEM products across three market routes: CNAPP-bundled (Wiz, Prisma Cloud), identity-suite (Okta, CyberArk, SailPoint, Saviynt) and specialists (Sonrai, Britive, Tenable/Ermetic). It cites machine identities outnumbering humans 10:1 plus effective-permissions sprawl as core drivers, with JIT elevation as the fix. Notable consolidation includes Tenable acquiring Ermetic and Zscaler acquiring Canonic.

Cyber Security NewsSep 15, 06:30 UTC · 1d agoTools