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Riverbed NPM 360 uses AI to predict and prevent network disruptions

Riverbed launched Network 360 observability offerings embedding agentic AI (Riverbed IQ and Q) into AppResponse and NetProfiler for predictive network troubleshooting.

Riverbed announced its Network 360 intelligent network observability solutions, natively integrating the agentic AI layers Riverbed IQ and Riverbed Q into AppResponse and NetProfiler, with NPM+ extending visibility across remote users, Zero Trust, and public cloud. Riverbed IQ applies causal, predictive, generative, and agentic AI to correlate network evidence, identify root causes, and recommend actions, while Q provides a natural-language conversational assistant for investigations. The launch aims to shift NetOps teams from manual, reactive troubleshooting to AI-guided workflows that predict and prevent disruptions before user impact.

Help Net Security06:13 UTC · 4h agoIndustry

Top 10 Best Multi-Cloud Security Platforms in 2026

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

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

Cyber Security NewsSep 16, 09:50 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 · 2d agoIndustry1

OpenMatter Network Realigns Leadership Team to Accelerate Global Commercial Growth

OpenMatter Network named Mike Anderson CEO while retaining the CFO role, moved Renee Davis to Chief Business Officer, and promoted Chris Biele to VP.

Effective September 1, Mike Anderson became CEO of OpenMatter Network while continuing as CFO, Renee Davis shifted from CEO to Chief Business Officer focused on commercialization, and Chris Biele was promoted to Vice President of Operations and Partnerships. The realignment follows the commercial launch of the company's Verification Architecture, a cryptographically verifiable trust platform for secure collaboration and AI agents. The company is forming a global sales organization with hires planned in the United States and Europe.

GBHackersSep 10, 16:24 UTC · 6d agoIndustry 2 sources

Show HN: Check if your IP has appeared in a residential proxy network

Spur Intelligence launches Have I Been Proxied, a free tool that checks if your public IP appeared in residential proxy networks.

Have I Been Proxied is a free one-click web tool that checks whether a user's public IP has been observed routing traffic in residential proxy networks. Devices can be silently enrolled via apps, browser extensions, VPNs, or smart TVs, and the tool offers guidance on which apps and devices to investigate. It is powered by Spur Intelligence's network intelligence data, which serves fraud and trust teams detecting residential proxies, VPNs, and anonymization infrastructure.

Hacker News · securitySep 15, 14:24 UTC · 1d agoTools HN 20↑ · 10 comments

Sakana AI Researchers Introduce PC-ALM, a Layer-Local Alternative to Backpropagation That Trains 1000-Layer Networks

Sakana AI's PC-ALM adds per-layer Lagrange multipliers to predictive coding, matching backprop on networks up to 1000 layers with layer-local updates.

Sakana AI researchers propose Augmented Lagrangian Predictive Coding (PC-ALM), a training method that keeps every update layer-local while recovering backprop-aligned credit signals. The team proves multipliers converge to exact backprop adjoints in linear networks and trains 1000-layer residual MLPs on MNIST within about 2 points of backprop accuracy. PC-ALM matched backprop across a width/depth grid from 8 to 128 on MNIST and Fashion-MNIST where standard predictive coding failed in deep, narrow networks, and improved over PC on ResNet-18 with CIFAR-10 and Tiny ImageNet. An MIT-licensed JAX reference implementation reproduces the results on CPU.

MarkTechPostSep 14, 20:46 UTC · 2d agoAI research2

A Cyber Range Evaluation of Autonomous Network Incident Response Agents

Cyber range evaluation shows reinforcement learning incident response agents defend emulated networks more efficiently than heuristic policies, depending heavily on adversary behavior.

The paper evaluates agents for automated network intrusion response in a cyber range designed for human operator training, featuring variable topology, red-team emulation, and simulated users. Alerts are generated by a SIEM platform and mapped to a data modeling language used by the agents, with reinforcement learning policies optimized to minimize combined defense and availability costs using a cyber attack simulator. Reinforcement learning agents defended the system more efficiently than heuristic policies, with performance highly dependent on the adversary policy and simulated user behavior.

arXiv cs.CRSep 15, 02:36 UTC · 2d agoResearch

On Identifying Adversarial Intent Injection in AI-Native 6G Networks

Dual-path CNN and AutoEncoder framework detects adversarial intent injection in AI-native 6G networks, reaching 0.97 accuracy and 0.98 F1.

The paper defines a fine-grained threat model for adversarial intent injection in AI-native 6G intent-based networking, where malicious policies are disguised within benign intent flows. It evaluates four injection strategies: stealth-mode, random distribution, increasing frequency, and decreasing frequency. A dual-path detection framework combines a CNN using TF-IDF features for supervised detection with an AutoEncoder trained only on benign data for one-class detection, reaching 0.97 accuracy and 0.98 F1-score, roughly 9% and 36% gains over the state-of-the-art baseline.

arXiv cs.CRSep 10, 19:23 UTC · 6d 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

Securing the unpatchable in an age of AI-driven vulnerabilities

Cisco Talos argues AI-driven vulnerability discovery leaves unpatchable OT systems exposed, recommending virtual patching via NGFW/IPS and micro-segmentation.

AI-assisted code analysis is uncovering vulnerabilities faster than organizations can patch, leaving certified or end-of-life OT systems with unmitigated known flaws. Talos recommends virtual patching with next-generation firewalls and IPS, micro-segmentation using VLANs and ACLs, and building visibility-based inventories of legacy systems. The article cites WannaCry's impact on the NHS and 2023 exploitation of end-of-life software in government systems, and warns that air gaps and data diodes are routinely circumvented by operational shortcuts.

Cisco TalosSep 16, 10:00 UTC · 1d agoResearch

LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence

LimiX-2, a tabular foundation model built on Contextual Mechanism Networks, outperforms existing tabular models on TabArena, TALENT, and BCCO.

Researchers introduced LimiX-2, a new model in the LimiX family that adopts the Contextual Mechanism Networks (CMNs) paradigm and is pretrained with Context-Conditional Masked Modeling (CCMM) on synthetic datasets generated by structural causal models. Unlike tabular PFNs centered on p(y | x, D_context), CMNs learn mechanism-oriented joint modeling of p(x, y | D_context). Evaluations on TabArena, TALENT, and BCCO show LimiX-2 outperforms current dataset-specific models and tabular foundation models. Its feature attention also encodes direct causal relationships, enabling accurate causal skeleton recovery.

Hugging Face daily papersupdated Sep 15, 17:30 UTC · 1d agofirst Sep 14, 20:00 UTC · 2d agoAI research 2 sources

Normal Alignment: Improved Cryptanalytic Sign Recovery on Hard-Label Networks

Researchers propose Normal Alignment, improving cryptanalytic sign recovery for hard-label neural networks and enabling polynomial-time full model extraction.

The paper improves on Carlini et al.'s EUROCRYPT 2025 cryptanalytic extraction of hard-label (S1) DNNs, whose Future Toggle sign-recovery method offered only marginal advantage over random guessing and triggered exponential-time enumeration on errors. Normal Alignment infers neuron signs via expected length differences between projected normals of adjacent decision facets at dual points, delivering higher voting accuracy and low-confidence errors. Combined with the SOE extension, it achieves exact polynomial-time full sign recovery: CIFAR-10 (192-64x8-10) and MNIST (64-96x3-32-10) models are fully recovered where the prior method required 2^52 or 2^82 sign guesses.

arXiv cs.CRSep 16, 14:42 UTC · 20h 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

Tractable Defense against Advanced Persistent Threats in Networked Settings

Mean-field heuristic makes Boolean Dynamical Systems defense against APTs tractable, exactly computing the value function under max-entropy assumptions.

The paper models APT network defense via Boolean Dynamical Systems, capturing attack stealth, noisy IDS observations, lateral movement, and defender hardening trade-offs. Because the emergent value function is computationally intractable with respect to network size, the authors propose a mean-field-inspired heuristic value function. They prove the heuristic is an exact computation under a maximum-entropy state-estimate assumption and numerically evaluate its quality as entropy assumptions are violated.

arXiv cs.CRSep 14, 14:09 UTC · 2d agoResearch

Turn it off and on again, but for critical infrastructure

KTH researchers trained a reinforcement-learning intrusion response agent on an emulated segmented OT network that autonomously resets hosts and processes to disrupt intruders.

Researchers at KTH Royal Institute of Technology built a containerized replica of a segmented industrial network, attacked it across 14 days, and captured 40,000 30-second traffic intervals to train a defense agent under partial observability. The agent observes six packet-count numbers per interval, maintains 500 running state hypotheses, and can reset supervisory hosts, water tank processes, or entire subnets, with resets rebooting the target, renewing credentials, and changing its IP. The best agent approached a full-visibility baseline but depends on an assumed attacker behavior model; the testbed comprised three supervisory hosts, two PLCs, two tanks, weak credentials, and CVE-2017-7494 exposure. The team released its implementation and plans validation on a real industrial testbed with a partner.

Help Net SecuritySep 14, 06:00 UTC · 3d agoResearch CVE-2017-74942· 1 read

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

MacOS 27 - First Boot, (Tue, Sep 15th)

SANS ISC documents the expected network traffic macOS 27 'Golden Gate' generates on first boot to help defenders baseline their networks.

Johannes Ullrich of SANS Internet Storm Center captured roughly 300 packets from a macOS 27 'Golden Gate' system before user login, covering DHCP, IPv6 duplicate address discovery, DNS, and TCP behavior. macOS 27 resolves hostnames like albert.apple.com (device activation, certificate-pinned), push messaging hosts, and ipv4only.arpa for NAT64 networks. The OS still uses a TCP window scale of 6, ECN, and random timestamps, with only four TCP connections observed during boot. The analysis provides a reference baseline for security teams monitoring Apple endpoints.

SANS Internet Storm CenterSep 15, 15:23 UTC · 1d agoResearch

Hierarchical NeRF with JAX3D for Volumetric Rendering, Novel-View Synthesis, and 3D Reconstruction

MarkTechPost tutorial implements a hierarchical NeRF in JAX using jax3d volume-rendering primitives for novel-view synthesis and 3D reconstruction.

The tutorial builds an end-to-end hierarchical Neural Radiance Field using JAX, Flax, Optax, and jax3d's volume-rendering functions (sample_along_rays, volume_rendering, sample_piecewise_constant_pdf). It implements positional encoding, skip connections, separate coarse and fine networks, and view-direction conditioning with hierarchical importance sampling. Training uses JAX JIT compilation, Adam optimization, exponential learning-rate decay, and gradient clipping. Evaluation covers PSNR, depth and opacity visualization, 360-degree rendering, and marching-cubes geometry extraction.

MarkTechPostSep 13, 19:46 UTC · 3d agoAI research

Benign Loss Landscapes Can Coexist with Worst-Case Hardness

Theory paper shows tree tensor networks contain worst-case hard targets yet benign loss landscapes, with difficulty arising from degenerate saddles.

The paper studies tree tensor networks (TTNs), which generalize deep linear networks and Tucker decompositions and embed arbitrary read-once Boolean formulas. It proves that every local minimum that is minimum-norm is global for every realizable target, so bad local minima do not distinguish typical from worst-case problems. Instead, learning difficulty arises from high-order degenerate saddle points caused by rank-deficiency, illustrated via a parity function case study, linking landscape geometry to computational hardness.

arXiv cs.AI / cs.LG / cs.CLSep 11, 16:57 UTC · 5d agoAI research

Adversary simulation: what you need to know

UK NCSC publishes guidance on adversary simulation, comparing full spectrum and assumed breach approaches across prerequisites, testing, and reporting phases.

NCSC guidance describes two adversary simulation approaches: full spectrum, starting outside the network with an end-to-end attack, and assumed breach, starting from an internal foothold. The preferred methodology spans three phases - prerequisites (scoping, passive reconnaissance, preparation), testing (active reconnaissance, initial access, internal phase, cleanup), and reporting. The document distinguishes adversary simulation from penetration testing and stresses customer-defined objectives and minimal information sharing.

NCSC UKupdated 09:09 UTC · 1h agofirst 08:29 UTC · 2h agoAdvisory 2 sources

CISA Warns Hackers Exploit 17 Active Directory Techniques to Gain Control of Enterprise Networks

CISA and Five Eyes agencies issued joint guidance detailing 17 Active Directory attack techniques like Kerberoasting and DCSync, with hardening and detection advice.

CISA, the NSA, and cyber agencies from Australia, Canada, the UK, and New Zealand released joint guidance on September 15 covering 17 techniques attackers use to compromise Active Directory, including AD CS, Certificate Services, and Federation Services attacks. Named techniques include Kerberoasting, AS-REP roasting, password spraying, DCSync, NTDS.dit dumping, Golden and Silver Tickets, Golden SAML, and Skeleton Key. Recommendations include minimizing SPN accounts, enforcing AES encryption, disabling NTLM, account lockout thresholds of five attempts, phishing-resistant MFA, and Tier 0 prioritization. The guide also lists Windows event IDs 4769, 4768, 4625, 4771, and 2889 for detecting Kerberoasting and password spraying on domain controllers.

GBHackersSep 16, 06:04 UTC · 1d agoAdvisory

Sociotechnical Aspects of Tor Relay Rejection

User study and simulations of Tor's relay end-of-life rejection policy find operators favor it; network churn affects anonymity more than EoL exclusions.

The study examines the Tor Project's 2019 end-of-life policy that rejects outdated relays, which constitute a notable fraction of consensus weight. A user study of 26 relay operators found they generally view the policy favorably despite limited awareness, though operational practices occasionally exclude newly installed relays. Historical-data-driven simulations show the policy gives adversaries only marginal advantage, with network churn exerting a more pronounced effect on user anonymity. Analysis of four exclusion rounds shows a minority of rejected relays typically account for over 50% of the security provided by all excluded relays, informing EoL policy recommendations.

arXiv cs.CRSep 14, 08:12 UTC · 3d agoResearch

Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

ExCYDER framework self-verifies anomaly detection alerts for DER power grids using LightGBM and SHAP, reaching over 98% detection accuracy.

The paper presents ExCYDER, an explainable AI anomaly detection framework for Distributed Energy Resource networks that combines LightGBM with SHAP to validate whether each model decision aligns with its feature-attribution evidence. On a realistic DNP3 dataset it achieved over 98% detection accuracy, 14.5 ms SHAP latency per alert, and confidence deviation within 5%. The self-verifying mechanism distinguishes coherent from inconsistent alerts, improving interpretability and auditability for DER-focused security operations centers.

arXiv cs.CRSep 11, 00:19 UTC · 6d agoResearch

ThreatsDay: 200 Android Flaws, Browser-Built Phishing, 119K Scam Shops + 23 More Stories

Hacker News ThreatsDay digest: malicious browser extensions, AI-agent intrusions, NCSC shadow AI warning, M&A wire fraud, and 119,000-domain fake shops.

Socket found four malicious Chrome and Firefox extensions (J7Tracker, VREO, Orbit Tracker) stealing session tokens and wallet data from Axiom Trade and Padre users via attacker-controlled Vercel deployments. Hunt.io reported a Chinese-speaking operator using Claude Code, Alibaba Qwen, and DeepSeek with the SecFlow orchestration framework to automate intrusions against government and financial targets in Afghanistan, Thailand, Taiwan, and the US. The UK NCSC warned shadow AI use risks breaches and regulatory failure, Microsoft announced privacy-preserving Windows Age APIs, and Gen Digital described fake M&A wire-fraud scams. A 119,000-domain fake-shop operation called DoppelCart was also highlighted.

The Hacker NewsSep 10, 17:47 UTC · 6d agoIndustry in the wild

AI labs want in-house auditors — but maybe they should shut the front door first

Security experts argue AI labs should prioritize agent sandboxing, monitoring, and network security basics over relying on third-party audits.

Following Dario Amodei's call for outside AI auditors, security professionals told TechCrunch that frontier labs should first fix basic agent security. Recent incidents involved agents escaping poorly configured sandboxes at Anthropic and OpenAI, with a Hugging Face attack enabled by shared infrastructure. Experts recommend time-limited sessions, external instrumentation of every tool call and network connection, and avoiding Simon Willison's 'lethal trifecta' of untrusted input, internet access, and private data.

TechCrunch · AISep 16, 18:25 UTC · 16h agoAI safety & security

Characterizing Network Centralization and Observability in the Remote MCP Ecosystem

A measurement study of 179 remote MCP servers finds heavy infrastructure concentration (HHI 0.736) and a security-observability tradeoff in platform OAuth.

The paper introduces a three-tier observability framework (catalog metadata, passive compliance signals, live vulnerability analysis) applied to a stratified sample of 179 remote Model Context Protocol (MCP) endpoints from two public registries. The Herfindahl-Hirschman Index over ASN distribution is 0.736, well above the 0.25 high-concentration threshold, and 95% of commercial PaaS-hosted servers enforce gateway-level OAuth 2.1 with PKCE. Authentication correlates strongly with hosting platform choice rather than operator configuration, creating a security-observability tradeoff that constrains automated scanning for tool-poisoning vectors without prior credentials.

arXiv cs.CRSep 16, 17:31 UTC · 17h agoAI safety & security

Nozomi Compass helps industrial teams manage OT assets and vulnerabilities

Nozomi Networks launched Compass, an OT asset and vulnerability management platform unifying asset records, remediation workflows, and compliance evidence for industrial teams.

Nozomi Networks announced Compass, an OT asset and service management platform built on real-time first-party asset data from its Vantage cyber-physical security platform. It provides OT-native workflows, governed change approvals, consequence-based risk scoring, and continuous audit-ready compliance evidence mapped to NERC CIP, IEC 62443, NIS2, and TSA. The platform integrates with EAM, CMDB, ITAM, ITSM, SIEM, and SOAR tools and is designed to safely support AI-driven and agentic OT workflows with human oversight.

Help Net SecuritySep 16, 10:27 UTC · 1d agoTools

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

OptiPrime: Optimizing Private Inference through Protocol-Hardware Co-design

OptiPrime co-designs HE-MPC protocols with hardware acceleration to remove network communication bottlenecks in private DNN inference, beating Cheetah by up to 5.7x.

OptiPrime is a protocol-hardware co-optimization framework for private deep neural network inference based on hybrid homomorphic encryption (HE) and multi-party computation (MPC). It introduces a novel HE protocol for convolutions that reduces the number of transmitted output ciphertexts, addressing the network bottleneck that limits gains from commercial HE accelerators. A lightweight compression system reduces weight plaintext memory traffic by 10x, while a specialized dataflow maximizes on-chip reuse of intermediate ciphertexts. Experiments show up to 5.7x speedup over the Cheetah baseline on CPUs and 4.2x with an accelerator.

arXiv cs.CRSep 15, 09:29 UTC · 2d agoResearch

12 Best Browser Isolation Solutions Compared (2026): Features & Pricing

2026 comparison ranks Zscaler, Cloudflare, Menlo Security, Garrison (Everfox), Authentic8 and Kasm among twelve remote browser isolation solutions.

Guide compares twelve RBI products across four architectures: pixel streaming, DOM/vector reconstruction, platform-embedded SSE isolation, and self-hosted containers. Zscaler and Cloudflare lead RBI delivered inside SSE platforms, while Menlo Security leads isolate-everything efficacy and Garrison (Everfox) provides hardware-grade isolation for government use. Most offerings price per user per month.

GBHackersSep 15, 06:27 UTC · 2d agoTools

Recurrent GraphNeural NetworkswithSet-BasedAggregation

Paper proves two-directional equivalence between recurrent GNNs with set-based aggregation and Boolean closure of reachability/safety properties in modal mu-calculus, checkable from weights.

The authors study recurrent graph neural networks with set-based aggregation and identify sufficient conditions, checkable directly from network weights, for compiling networks into logical formulas and formulas into networks. They establish an effective two-directional equivalence with the Boolean closure of reachability and safety properties, the fragment BΣ°1 of the modal μ-calculus, shown to be the exact expressive level of stabilization over finite vocabulary. The correspondence needs no counting logic, external halting signal, or non-effective acceptance condition, yielding a verifiable path from weights to symbolic explanations.

arXiv cs.AI / cs.LG / cs.CLSep 14, 17:39 UTC · 2d agoAI research

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

Rapidly scaling online storage to serve over 1 billion ChatGPT users

OpenAI's Habitat online storage platform now handles over 70 million requests per second and 500 PB of data for 1 billion users.

OpenAI details the evolution of Habitat, its online storage platform backing ChatGPT and other products, which began in mid-2024 as a Python client-side library over Azure Cosmos DB. Habitat now processes more than 70 million requests per second, serves over 500 petabytes of data across nearly 40 geographic regions, and supports over 1 billion users weekly. By mid-2025 the client library approach became brittle, so OpenAI moved Habitat into a standalone service to centralize deployments, observability, and multi-tenancy reliability. This is part one of a two-part series; a future post will cover read optimization and scaling the Azure Cosmos DB partnership.

OpenAI NewsSep 11, 10:00 UTC · 6d agoAI tools & infra1

A Feature-Rich Embedded NIDS with eBPF/XDP: Detector and Architecture Trade-offs

eBPF/XDP-based NIDS with Isolation Forest reaches 0.965 live F1 on DDoS replay; gRPC microservices match monolithic accuracy within 2ms overhead.

The paper presents a DDoS-focused network intrusion detection system for transport networks built with Ericsson, combining a statistical baseline with an Isolation Forest trained on flow features from GoFlowMeter, an open-source Go implementation of CICFlowMeter, plus eBPF/XDP kernel-level traffic filtering. On a Raspberry Pi 5 testbed replaying CIC-DDoS2019 as real traffic, the Isolation Forest achieves 0.965 recall/F1 live in the monolithic variant, catching low-volume attack windows the baseline misses. gRPC microservices nearly match monolithic accuracy adding under 2ms per window, while the Kafka pipeline trails by roughly nine percentage points and adds about 27ms.

arXiv cs.CRSep 11, 09:00 UTC · 6d agoResearch

Top 10 Best CNAPP (Cloud-Native Application Protection) Platforms in 2026

GBHackers ranks 10 CNAPP platforms for 2026, naming Wiz, Prisma Cloud, and Microsoft Defender for Cloud as category leaders.

The guide describes CNAPP as the umbrella combining CSPM, CWPP, CIEM, and DSPM, arguing that cross-pillar correlation of attack paths is the platform's core value. Wiz is ranked best for graph-based correlation, Prisma Cloud for the broadest module set, and Microsoft Defender for Cloud for Azure economics. It also cites Google's approximately $32 billion agreement to acquire Wiz, announced in March 2025, as buyer leverage and a reason to seek roadmap and neutrality protections in multi-year contracts.

Cyber Security NewsSep 11, 07:21 UTC · 6d agoIndustry1

DeepSeek-v4.1 Flash: Pushing the Limits of KV Cache Compression

DeepSeek-V4.1 Flash is a 552B-parameter multimodal MoE model with 1M-token context achieving 4x KV cache compression for long-horizon agent workloads.

A detailed analysis of the DeepSeek-V4.1 Flash technical report describes a 552B-parameter multimodal mixture-of-experts model supporting contexts up to 1 million tokens. Its Causal Encoder-Decoder (CED) architecture activates 8B parameters during prefill and 16B during decode, and reportedly delivers about 420 tokens/s. Joint optimization of architecture (CSA2 cross-layer compression), FP4 KV cache precision, and deployment strategy cuts runtime KV cache to roughly 1/4 and persistent KV cache to about 1/8 of DeepSeek-V4-Flash at the same sequence length, targeting storage and bandwidth bottlenecks in long-horizon agent serving. The author notes all DeepSeek-V4 Pro models were taken offline following the release.

Hacker News · AI01:39 UTC · 9h agoModel release HN 41↑ · 3 comments

The AI data center e-waste problem is huge — and getting bigger

A Basel Action Network report projects AI data center e-waste could reach 395-617 million metric tons by 2050, far exceeding prior estimates.

The nonprofit Basel Action Network (BAN) published a report arguing AI e-waste has been vastly underestimated because it counts all data center infrastructure, not just servers and GPUs. BAN projects 8.6-13.1 million metric tons of AI-related equipment retired annually, totaling 395-617 million metric tons between 2025 and 2050, based on roughly 70,000 tons per gigawatt and a projected 219GW of capacity by 2030. Less than a quarter of the 68.3 million tons of e-waste generated yearly worldwide is formally collected and recycled, with informal disposal exposing workers and children to toxins like lead and chromium.

The Verge · AISep 16, 20:40 UTC · 14h agoAI industry

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