# SOC Published articles for SOC. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Inside the Modern SOC: Defending the Cross-Environment Pivot DevFeed: [Inside the Modern SOC: Defending the Cross-Environment Pivot]() Original publisher: [Read original article]() Author: Sharon Maydar Published: 2026-09-17T22:00:33Z Content type: article Language: en Sources: [Unit 42]() Topics: [Security](), [Incident response](), [Monitoring](), [Cloud](), [Authorization](), [Network](), [sensitive data](), [Software as a Service (SaaS)](), [Artificial Intelligence](), [Managed Services]() Tags: [ai](), [attack-surface](), [cloud](), [incident-response](), [inside-the-modern-soc](), [insights](), [monitoring](), [network](), [optimization](), [permissions](), [security](), [security-operations](), [security-tools](), [sensitive-data](), [soc](), [software-as-a-service-saas](), [unit-42-incident-response-report]() ### AI overview This article explains how attackers pivot across cloud, endpoint, network, identity, and SaaS environments, creating visibility gaps when security tools are disconnected. It recommends correlating signals across domains so analysts can reconstruct complete attack paths and continuously optimize monitoring, detections, and response workflows. ### Source excerpt Cross-environment attacks demand a new approach to security operations. Learn how Unit 42 Managed XSIAM helps SOC teams investigate complete attack paths. The post Inside the Modern SOC: Defending the Cross-Environment Pivot appeared first on Unit 42. ## New Linux Driver Coming To Improve ASUS Zenbook Snapdragon X2 Support DevFeed: [New Linux Driver Coming To Improve ASUS Zenbook Snapdragon X2 Support]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-17T12:04:09Z Content type: news Language: en Sources: [Phoronix]() Topics: [ASUS](), [Linux](), [Qualcomm](), [Kernel](), [SOC](), [patches](), [Embedded Software Dev]() Tags: [asus](), [desktop-linux](), [driver](), [embedded](), [firmware](), [kernel](), [keyboard](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [patches](), [phoronix](), [phoronix-test-suite](), [qualcomm](), [soc](), [suspend](), [testing](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview Qualcomm developer Konrad Dybcio posted Linux kernel patches for a new asus-glymur-ec driver to improve embedded-controller support on Snapdragon X2-powered ASUS Zenbook A14 and A16 laptops. The driver can report fan speeds and temperatures, control keyboard backlight brightness, and handle suspend and resume notifications. ### Source excerpt For those hopeful of running Linux well on the ASUS Zenbook A14 or A16 laptops powered by the latest Qualcomm Snapdragon X2 SoC, a new ASUS EC driver has been developed for enhancing the support... ## CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) DevFeed: [CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding)]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-16T00:00:55Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Artificial Intelligence](), [Embedded Systems](), [AI Inference](), [V](), [Arm](), [cpu](), [Open Source](), [Ethernet](), [Linux](), [Toit]() Tags: [ai](), [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cpu](), [debug](), [edge-ai](), [embedded](), [ethernet](), [hardware](), [inference](), [kickstarter](), [linux](), [module](), [open-source](), [real-time](), [risc-v](), [robotics](), [rt-thread](), [soc](), [sophgo](), [tinyml](), [usb](), [video](), [vision]() ### AI overview The AIMORELOGY Ovis is an open-source modular AI vision camera built around the CVITEK CV1842H-P SoC. It provides full-color 1080p night vision, 1.5 TOPS edge AI inference, USB and Ethernet connectivity, and a dual-OS environment using Linux and RT-Thread. ### Source excerpt The AIMORELOGY Ovis is an open-source AI vision camera module built around the CVITEK CV1842H-P SoC, with full-color 1080p night vision and 1.5 TOPS edge AI inference in a compact modular design. It is designed for drones, robotics, security systems, smart cameras, and custom embedded vision products. The camera features a compact stacked design, with a 20 x 20 mm Core board that includes the CVITEK CV1842H-P SoC, 2 Gbit NAND flash, USB, and UART debug pads. A Sensor board with the SC235HAI image sensor connects on top and also adds Ethernet and UART interfaces. An optional CVBS board goes between the Sensor board and the Ovis Core board. AIMORELOGY Ovis specifications: Ovis Core Board SoC - CVITEK CV1842H-P CPU - 1x Arm Cortex-A53 core @ 1.1 GHz, 1x RISC-V C906 core @ 800 MHz NPU - 1.5 TOPS @ INT8 with BF16 support ISP - AI-ISP with real-time 1080p [...] The post CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## Ubuntu 26.10 Set To Deliver Better Performance For Intel Core 3 Wildcat Lake DevFeed: [Ubuntu 26.10 Set To Deliver Better Performance For Intel Core 3 Wildcat Lake]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-15T15:34:07Z Content type: comparison Language: en Sources: [Phoronix]() Topics: [Ubuntu](), [Intel Core](), [intel](), [Hardware](), [Linux](), [SOC]() Tags: [comparison](), [core](), [desktop-linux](), [graphics](), [hardware](), [intel-core](), [kernel](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [nvme](), [open-source-graphics](), [performance](), [phoronix](), [phoronix-test-suite](), [release](), [soc](), [software](), [ubuntu](), [ubuntu-benchmarks](), [ubuntu-hardware](), [updates](), [upgrade](), [upgrades](), [wildcat-lake]() ### AI overview The article compares Ubuntu 26.04 LTS with Ubuntu 26.10 in development on a CHUWI UniBook equipped with an Intel Core 3 304 SoC, 8GB of RAM, and a 256GB NVMe SSD. It reports that Ubuntu 26.10's newer Linux kernel, Mesa graphics stack, and other software upgrades are expected to improve performance on Intel Wildcat Lake hardware. ### Source excerpt While Ubuntu 26.04 LTS is working fine out-of-the-box on new Intel Core 3 "Wildcat Lake" laptops like the CHUWI UniBook, next month's release of Ubuntu 26.10 will help deliver better performance out of these low-cost laptop options. ## The only perfect Endpoint Prevention and Response (EPR) score in 2026 belongs to Elastic DevFeed: [The only perfect Endpoint Prevention and Response (EPR) score in 2026 belongs to Elastic]() Original publisher: [Read original article]() Author: Mia LaVada Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [Endpoint Security & XDR](), [Testing](), [Security](), [SOC]() Tags: [2026](), [alert-fatigue](), [analysts](), [investigation-incident-response-security-compliance-security-analytics-xdr](), [obfuscation](), [persistence](), [protection](), [security](), [security-endpoint-security](), [soc](), [techniques](), [testing](), [tooling](), [usb]() ### AI overview Elastic describes its results in the 2026 AV-Comparatives Endpoint Prevention and Response test, reporting 100% protection scores, zero false alerts, and the lowest modeled operational footprint among tested products. The article explains that Elastic stopped all 50 attack scenarios at the initial phase. ### Source excerpt Elastic sits at the very top of this year's AV-Comparatives' CyberRisk Quadrant within the 2026 Endpoint Prevention and Response (EPR) test with the highest protection scores at 100%. Learn more. ## JetKVM Mini - A low-cost, ESP32-P4X-based KVM with Ethernet or WiFi connectivity DevFeed: [JetKVM Mini - A low-cost, ESP32-P4X-based KVM with Ethernet or WiFi connectivity]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-14T02:03:40Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Jetkvm](), [ESP32](), [Embedded Software Dev](), [Microcontroller](), [RISC-V](), [Web](), [WebRTC](), [networking](), [USB]() Tags: [4k](), [embedded-systems](), [esp-idf](), [esp32](), [esp32-p4](), [espressif](), [ethernet](), [firmware](), [freertos](), [github](), [hardware](), [hdmi](), [jetkvm](), [kvm](), [linux](), [macos](), [open-source](), [risc-v](), [soc](), [usb](), [video](), [webrtc](), [wifi](), [wifi-6]() ### AI overview JetKVM Mini is a smaller, lower-cost KVM over IP device based on the ESP32-P4X instead of Linux running on a Rockchip SoC. It provides Ethernet or WiFi connectivity, 1080p video capture, H.264 streaming over WebRTC, USB device emulation, and an information display. Its firmware uses FreeRTOS and ESP-IDF, while JetKVM OS Services add features such as 4K screen capture, shared clipboard, a guest terminal, and file transfer on compatible hosts. ### Source excerpt JetKVM Mini is a smaller, lower-cost version of the popular JetKVM KVM over IP solution. The new model features a small information display, offers Ethernet or WiFi connectivity, and supports 1080p video capture. The main under-the-hood change is that they ditched Linux on a Rockchip RV1106G3 SoC and now rely on an ESP32-P4X (ESP32-P4 version 3.x and greater) to handle video capture, H.264 encoding, USB, and other features. The largest cost saving is removing the RAM and eMMC flash required by Linux. JetKVM Mini specifications: SoC - Espressif Systems ESP32-P4X CPU Dual-core 32-bit RISC-V HP (High-performance) CPU @ up to 400 MHz with AI instruction extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz Memory 768 KB HP L2MEM (for dual-core CPU), 32 KB LP SRAM, 8 KB TCM (for LP MCU core) 32 MB PSRAM Storage - 128 KB HP ROM, 16 KB LP ROM [...] The post JetKVM Mini - A low-cost, ESP32-P4X-based KVM with Ethernet or WiFi connectivity appeared first on CNX Software - Embedded Systems News. ## CrowdStrike Named Strongest Overall Leader in 2026 Frost Radar™: Cloud Workload Protection Platforms DevFeed: [CrowdStrike Named Strongest Overall Leader in 2026 Frost Radar™: Cloud Workload Protection Platforms]() Original publisher: [Read original article]() Author: Brett Shaw Published: 2026-09-12T11:17:51.295154Z Content type: article Language: en Sources: [Blog]() Topics: [workload protection](), [Security & compliance, Cloud security](), [Security](), [telemetry](), [Containers](), [Kubernetes](), [SOC]() Tags: [2026](), [cloud](), [cloud-application-security](), [cloud-security](), [containers](), [growth](), [innovation](), [kubernetes](), [real-time](), [security](), [soc](), [telemetry](), [workload-protection]() ### AI overview CrowdStrike says Frost & Sullivan named it the strongest overall leader in the 2026 Frost Radar for Cloud Workload Protection Platforms. The article highlights Falcon Cloud Security's focus on connecting risk, adversary intelligence, and real-time protection across containers, Kubernetes, identities, cloud control planes, endpoints, and SOC operations. ### Source excerpt Falcon Cloud Security earned the highest scores in both Innovation and Growth by connecting risk, adversary intelligence, and real-time protection to stop attacks. ## CrowdStrike Delivers the Next Evolution of the Agentic SOC DevFeed: [CrowdStrike Delivers the Next Evolution of the Agentic SOC]() Original publisher: [Read original article]() Author: Brandon Benke Published: 2026-09-12T11:17:51.295154Z Content type: article Language: en Sources: [Blog]() Topics: [Agentic SOC](), [SOC](), [Security](), [Artificial Intelligence](), [Automation](), [data](), [real-time](), [Reconnaissance](), [Cloud](), [Network]() Tags: [2026](), [agentic](), [agentic-soc](), [agents](), [ai](), [automation](), [cloud](), [data](), [identity](), [network](), [operations](), [platform](), [real-time](), [saas](), [security](), [soc]() ### AI overview CrowdStrike describes the next evolution of its agentic SOC, where analysts and AI agents work together in a unified system to investigate and respond to threats in real time. The Falcon platform combines data generation, enrichment, investigation, orchestration, and governance, with capabilities for detection-ready third-party data and coordinated specialist agents. ### Source excerpt Expert agents that reason together, learn your environment, and run on data CrowdStrike owns. See how we deliver the agentic SOC. Learn more! ## Teaching AI to Reason Through Detection Triage DevFeed: [Teaching AI to Reason Through Detection Triage]() Original publisher: [Read original article]() Author: Amol Khanna - Manu Nandan - Cristian Viorel Popa - Joan Pujol-Roig - Diana Bolocan - Laura Vasilie - Alexandru Apostu - Chase Helwig - Mihaela Gaman - Mickey Brautbar - Edward Raff - Chase Midler - Sv Published: 2026-09-12T11:17:51.295154Z Content type: article Language: en Sources: [Blog]() Topics: [AI Chat]() Tags: [agentic](), [agentic-soc](), [ai](), [automation](), [chain-of-thought](), [classification](), [cybersecurity](), [language-models](), [llm](), [model](), [nemotron](), [nvidia](), [open](), [reasoning](), [research](), [security](), [soc](), [windows]() ### AI overview CrowdStrike describes research on a reasoning-enabled language-model classifier for security detection triage. The model produces a verdict and an auditable rationale, with the stated goals of improving accuracy, transparency, and safe alert automation. ### Source excerpt New CrowdStrike research shows how step-by-step reasoning can improve detection triage accuracy, transparency, and safe automation. ## Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications DevFeed: [Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-11T03:13:41Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Arm](), [cpu](), [Embedded Systems](), [Artificial Intelligence](), [Internet of things](), [Hardware](), [object-detection](), [Neural Network](), [Transformer]() Tags: [aiot](), [amlogic](), [arm](), [armv9](), [camera](), [computer-vision](), [cortex-a320](), [edge-ai](), [embedded](), [ethernet](), [h-264](), [hardware](), [iot](), [linux](), [llm](), [low-power](), [neural](), [npu](), [object-detection](), [processor](), [security](), [soc]() ### AI overview Amlogic has announced the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered edge AI and IoT devices. The preliminary specifications include video encoding and decoding, NPUs, image signal processing, camera interfaces, networking, USB, and low-power features. The article notes that full specifications, block diagrams, and software details are not yet available. ### Source excerpt Amlogic has unveiled the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered Edge AI and IoT applications such as robots, dashcams, IP cameras, video conferencing equipment, and so on. The Arm Cortex-A320 low-power Armv9 CPU core was introduced in February 2025, and Amlogic is the first silicon vendor to announce Cortex-A320 SoCs. Details are sparse, with no full specifications or block diagrams and limited software information, but let's see what we know so far. Amlogic A123X Amlogic A123X specifications: CPU - Quad-core Arm Cortex-A320 processor (Armv9.2-A, SVE2) GPU - None or not disclosed VPU H.264/H.265 encoding at 4K @ 60fps H.264/H.265 decoding at 4K @ 30fps AI 4 TOPS ADLA2 NPU for object detection and tracking CNN models 8 TOPS ADLA3 NPU supporting hardware-accelerated Transformer operations for ViT, LLM, etc. Neural network-based hardware SED engine for low-power audio event identification ISP - Low-light HDR ISP Supports [...] The post Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications appeared first on CNX Software - Embedded Systems News. ## Building an Agentic SOC on a Stream DevFeed: [Building an Agentic SOC on a Stream]() Original publisher: [Read original article]() Author: Pavel Lineitsev Published: 2026-09-10T19:19:05Z Content type: article Language: en Sources: [Confluent: Data in motion]() Topics: [Agentic SOC](), [SOC](), [Security](), [Streaming](), [Architecture & Design](), [Artificial Intelligence](), [Automation](), [data loss prevention]() Tags: [agent](), [agentic](), [agentic-soc](), [agents](), [ai](), [ai-agents](), [architecture](), [automation](), [confluent-cloud](), [data-loss-prevention](), [security](), [security-tools](), [soc](), [streaming]() ### AI overview This article describes an Agentic SOC that uses AI agents and a continuous streaming architecture to investigate security alerts. Its pipeline combines central triage, specialized evidence agents, adversarial evaluation, and a self-learning knowledge base to analyze every alert, escalate higher-value cases, and surface true positives for analyst review. The approach is intended to address the backlog of low-priority alerts, including Data Loss Prevention alerts, whose volume makes manual investigation impractical. ### Source excerpt Discover how our security team built an automated multi-agent investigation pipeline that scaled alert triage throughput using a continuous streaming architecture. ## Redefining Digital Resilience in the AI Era DevFeed: [Redefining Digital Resilience in the AI Era]() Original publisher: [Read original article]() Author: Kamal Hathi Published: 2026-09-10T17:00:15Z Content type: news Language: en Sources: [Cisco Blogs]() Topics: [Resilience](), [Artificial Intelligence](), [data](), [Architecture & Design](), [Security](), [SOC](), [monitor]() Tags: [agentic-ai-security](), [agentic-ops](), [agentic-security](), [ai](), [ai-agents](), [autonomous](), [cost](), [digital-resilience](), [executive-platform](), [governance](), [monitor](), [observability](), [resilience](), [scale](), [security](), [soc](), [speed](), [workflows]() ### AI overview Splunk is evolving its data platform for the AI era, focusing on digital resilience, trusted autonomous agents, machine-speed security operations, and economically governed AI workflows. ### Source excerpt Splunk is evolving for the AI era - removing constraints to help customers achieve digital resilience and leverage AI with speed, scale and trust. ## How much control should AI get? A CISO roundtable takes on SOC autonomy DevFeed: [How much control should AI get? A CISO roundtable takes on SOC autonomy]() Original publisher: [Read original article]() Author: Carly Page Published: 2026-09-09T15:38:58Z Content type: article Language: en Sources: [The New Stack]() Topics: [AI Bots]() Tags: [agents](), [ai](), [ai-agents](), [ai-operations](), [autonomous](), [security](), [soc](), [sponsored-webinar](), [webinar]() ### AI overview The article examines how security operations centers may use AI agents to investigate alerts and the limits organizations should place on autonomous response actions. It emphasizes human oversight, reversibility, and the changing role of SOC analysts. ### Source excerpt Security operations centers have struggled with alerts for years, and AI agents offer a new way to tackle it: Enable The post How much control should AI get? A CISO roundtable takes on SOC autonomy appeared first on The New Stack. ## Black Hat USA 2026: Building the Agentic SOC, One Live Event at a Time DevFeed: [Black Hat USA 2026: Building the Agentic SOC, One Live Event at a Time]() Original publisher: [Read original article]() Author: Jessica (Bair) Oppenheimer Published: 2026-09-07T15:00:58Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Detection engineering](), [SIEM, Security, Observability](), [Threat Hunting & Intel](), [telemetry](), [NOC](), [Malware]() Tags: [agentic-soc](), [black-hat](), [cisco-secure-access](), [cisco-talos](), [cybersecurity](), [duo](), [firewall](), [malware](), [network-operations-center](), [noc](), [security](), [security-operations-center](), [soc](), [splunk-cloud](), [splunk-enterprise-security](), [telemetry](), [thousandeyes]() ### AI overview Cisco describes its work protecting the Black Hat USA 2026 network alongside NOC leaders and technology partners. The team combined security telemetry and workflows to support visibility, detection engineering, threat hunting, malware analysis, AI protection, and Agentic SOC development. ### Source excerpt Cisco is the Security Cloud Provider for the Black Hat conferences. Learn about the latest innovations for the Agentic SOC. ## Thrown into the SOC: A Black Hat First-Timer's Story DevFeed: [Thrown into the SOC: A Black Hat First-Timer's Story]() Original publisher: [Read original article]() Author: Danny Rodriguez Published: 2026-09-07T15:00:54Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Incident response](), [incident](), [dashboards]() Tags: [agentic](), [ai](), [ai-agents](), [black-hat](), [cisco-secure-access](), [cisco-talos](), [cisco-xdr](), [cybersecurity](), [dashboards](), [duo](), [firewall](), [incident](), [incident-response](), [network-operations-center](), [noc](), [security](), [security-operations-center](), [soc](), [splunk-cloud](), [splunk-enterprise-security](), [tools](), [workflows]() ### AI overview A first-time SOC analyst reflects on a short Black Hat NOC rotation, focusing on evidence-based alert triage, uncertainty, and how AI agents can help investigators ask better questions. ### Source excerpt A Black Hat SOC analyst shares how agentic workflows, Splunk ES, packet evidence, and human mentorship accelerated triage & investigation in the NOC/SOC. ## Troubleshooting Wi-Fi at Black Hat USA 2026 with ThousandEyes DevFeed: [Troubleshooting Wi-Fi at Black Hat USA 2026 with ThousandEyes]() Original publisher: [Read original article]() Author: Alex Guckin Published: 2026-09-07T15:00:39Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Network Operations Center](), [dashboards](), [telemetry](), [Duo]() Tags: [agents](), [black-hat](), [cybersecurity](), [dns](), [duo](), [metrics](), [monitoring](), [network-operations-center](), [noc](), [operations](), [security](), [security-operations-center](), [soc](), [splunk-cloud](), [splunk-enterprise-security](), [thousandeyes]() ### AI overview A behind-the-scenes account of using ThousandEyes monitoring nodes and dashboards to troubleshoot Wi-Fi performance and roaming issues in the Black Hat USA 2026 Network Operations Center. ### Source excerpt A behind-the-scenes look at troubleshooting Wi-Fi in the Black Hat USA 2026 Network Operations Center with ThousandEyes. ## Building a Risk-Based Secure Network Analytics Detection with Splunk Detection Editor (Alpha) DevFeed: [Building a Risk-Based Secure Network Analytics Detection with Splunk Detection Editor (Alpha)]() Original publisher: [Read original article]() Author: Aditya Sankar Published: 2026-09-07T15:00:32Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Network](), [incident]() Tags: [black-hat](), [building](), [cybersecurity](), [data](), [dns](), [documentation](), [firewall](), [network-operations-center](), [noc](), [security](), [security-operations-center](), [soc](), [splunk-cloud](), [splunk-enterprise-security]() ### AI overview This article explains how to use Splunk Detection Editor (Alpha) to develop a Cisco Secure Network Analytics detection and add its alarms as risk events in Splunk Enterprise Security. It covers SPL development and testing, sample data, risk scoring, CIM fields, and investigation drilldowns, with risk-based alerting used to correlate behavior over time. ### Source excerpt At Black Hat USA, we used Splunk Detection Editor Alpha to turn Cisco SNA alarms into risk events with context, drilldowns & analyst-ready investigation paths. ## Black Hat USA 2026: Safeguarding DNS with Secure Access DevFeed: [Black Hat USA 2026: Safeguarding DNS with Secure Access]() Original publisher: [Read original article]() Author: Steve Vida Published: 2026-09-07T15:00:32Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [SIEM, Security, Observability](), [telemetry](), [NOC]() Tags: [apple](), [black-hat](), [cisco-secure-access](), [cisco-security-cloud](), [cisco-talos](), [cisco-xdr](), [cloudflare](), [cybersecurity](), [dns](), [google](), [network-operations-center](), [noc](), [phishing](), [privacy](), [security](), [security-operations-center](), [soc](), [splunk-cloud](), [splunk-enterprise-security](), [statistics](), [telemetry]() ### AI overview Cisco reports on using Secure Access and DNS telemetry to protect the Black Hat USA 2026 network. The article highlights blocking unapproved encrypted DNS resolvers, DNS request statistics, and activity classified as hacking. ### Source excerpt Cisco is the Security Cloud Provider for the Black Hat conferences, over a decade providing DNS Security. Learn about protecting DNS with Secure Access. ## Latent Powers DevFeed: [Latent Powers]() Original publisher: [Read original article]() Author: Armin Ronacher Published: 2026-09-05T00:00:00Z Content type: opinion Language: en Sources: [Armin Ronacher]() Topics: [Dongle](), [Hacking](), [Rust](), [Embedded Software Dev](), [Protocol (disambiguation)](), [Raspberry Pi]() Tags: [ai](), [dongle](), [firmware](), [hacking](), [protocol](), [raspberry-pi](), [rust](), [soc](), [thoughts](), [usb]() ### AI overview A developer experiments with modifying a cheap CarPlay dongle to run custom code while preserving regular CarPlay functionality. After receiving a different SoC than expected, they use LLM-assisted discussions to flash the device and compile CatPlay, a Rust reimplementation of the CarPlay protocol, for the hardware. ### Source excerpt A few weeks ago I felt like it would be fun to see if I can make one of those cheap Chinese CarPlay dongles run something other than the stock firmware. The idea was that rather than just forwarding CarPlay, why not do something more interesting with them? They all work quite similarly: they act as bridges between your car and the phone. From there they deal with video and audio streams and pass some other data through. Most of them also bring up a custom UI for pairing and have a web interface that your phone can reach for updates. Long story short: I had a conversation with Fable and Sol via Pi about what could be done with such a dongle or whether I should use a Raspberry Pi instead if I wanted to do my own thing there. I figured it might be quite fun to run my own code while still allowing regular CarPlay to pass through. Through working with the LLM I learned about CatPlay, which is a Rust reimplementation of the CarPlay protocol that can run on Carlinkit devices. In particular, it can run on the Carlinkit Mini Ultra, which I figured would be easy enough to buy. I do have a few CarPlay adapters around, but I did not have that particular model, so I bought one on Amazon. Twenty-four hours later, I had a device in my hand that was branded as a Carlinkit Mini Ultra, but instead of being the Ingenic device that the original author used, it turned out to be something else. This is normally where the story would stop. However, it's 2026. Armed with a bit of knowledge about how these systems work, I managed to have some fruitful discussions with Kimi K3 and Sol and figure out how flash the device and in turn, how to make CatPlay compile for that SoC. I guess that hacking these USB devices is not necessarily hard, but it's laborious and you can easily end up bricking your devices. It also just sucks because sometimes you need to work with someone else's code that does not itself run on your machine. In the past, I would abandon many such projects for lack of tenacity. ## Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding) DevFeed: [Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding)]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-02T07:25:10Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [webcam](), [Hardware](), [USB](), [hdmi](), [Ethernet](), [SOC](), [Embedded Systems](), [Linux](), [SDK](), [Open Source]() Tags: [arm](), [buildroot](), [c-c-plus-plus](), [camera](), [computer-vision](), [edge-ai](), [embedded-systems](), [ethernet](), [fpga](), [hardware](), [hdmi](), [kickstarter](), [linux](), [open-source](), [poe](), [sdk](), [soc](), [usb](), [video](), [xilinx-zynq]() ### AI overview CNX Software reports on Circuit Valley's CHC5, a modular camera system built around an AMD/Xilinx Zynq-7020 SoC FPGA. It supports interchangeable sensor and lens configurations, USB, HDMI, and Gigabit Ethernet interfaces, and image-processing and machine-vision workloads. ### Source excerpt Circuit Valley's CHC5 is a modular camera system based on a Core board powered by an AMD/Xilinx Zynq-7020 SoC FPGA, a range of interface boards with USB, HDMI, or Ethernet (PoE), various sensor boards, and a metal enclosure. The solution can be customized with different lens objectives and different sensors with MIPI D-PHY, LVDS, Sub-LVDS, Low Voltage LVDS, or SLVS interfaces. The Zynq-7020's Cortex-A9 cores can handle complex tasks, while the FPGA fabric takes care of high-speed calculation and correction on the image, and can also be leveraged for AI/machine-vision-specific algorithms or complex low-latency hardware acceleration. CHC5 specifications: Core board SoC - Xilinx AMD Zynq-7020 SoC FPGA CPU - Dual-core Arm Cortex-A9 processor FPGA - 85K logic cells, 4.9Mb Block RAM, 220 DSP slices System Memory - 1GB DDR3 Storage 1 Gbit flash memory MicroSD card slot ISP - Full-fledged ISP implemented on FPGA fabric Multiple interface boards with 10Gbps [...] The post Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## Defending against AI-fueled social engineering DevFeed: [Defending against AI-fueled social engineering]() Original publisher: [Read original article]() Author: Joe DeFever Published: 2026-09-01T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [Social engineering](), [spoofing]() Tags: [agentic-ai-alerting-security-analytics](), [ai](), [attacks](), [phishing](), [security](), [soc](), [social-engineering]() ### AI overview The article describes how AI enables personalized spear phishing, smishing, and deepfake-based impersonation at greater scale. It argues that defenders should detect behavioral signals rather than rely solely on static signatures and known patterns. ### Source excerpt AI is supercharging social engineering. Learn how SOC teams can detect deepfakes, spear phishing, and smishing before they cause real damage. ## 8 Best Memberstack Alternatives for Membership Sites in 2026 DevFeed: [8 Best Memberstack Alternatives for Membership Sites in 2026]() Original publisher: [Read original article]() Author: Deepak Jangir Published: 2026-09-01T00:00:00Z Content type: comparison Language: en Sources: [Dodo Payments Blog]() Topics: [Authentication](), [stripe](), [Front end]() Tags: [alternatives](), [auth](), [billing](), [comparison](), [compliance](), [developers](), [fees](), [merchant-of-record](), [payments](), [pricing](), [soc](), [stripe](), [tax](), [webflow]() ### AI overview This comparison examines eight Memberstack alternatives for membership sites, focusing on authentication, gated content, member billing, transaction fees, and global tax responsibilities. It distinguishes lower-cost or more flexible auth and gating platforms from merchant-of-record services such as Dodo Payments, which handle billing and tax compliance. It also explains Memberstack's strengths, pricing options, trial, discounts, and compliance claims. ### Source excerpt Compare the best Memberstack alternatives for auth, gated content and member billing. Verified 2026 pricing, transaction fees, and global tax handling. ## D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores DevFeed: [D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-08-31T08:06:13Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Jetson](), [Robotics](), [Embedded Systems](), [Microcontroller](), [Jetson Orin](), [SOC](), [cpu](), [Arm](), [real-time](), [GPU](), [Linux](), [Nvidia]() Tags: [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cortex-a78](), [cpu](), [deep-learning](), [development-kit](), [dfrobot](), [edge-ai](), [embedded](), [embedded-systems](), [gpu](), [hardware](), [jetson](), [jetson-orin](), [linux](), [mcu](), [networking](), [nvidia](), [os](), [processors](), [real-time](), [robotics](), [ros](), [safety](), [sensor](), [sensors](), [single-board-computer](), [soc](), [software](), [som](), [specifications](), [systems](), [ubuntu]() ### AI overview The D-Robotics RDK S100P is a robotics single-board computer featuring a 6-core Cortex-A78AE CPU, 4-core Cortex-R52+ MCU domain, 128 TOPS INT8 Nash BPU, Mali-G78AE GPU, and 24 GB of LPDDR5. Its MCU supports real-time motor and sensor control, potentially reducing the need for a separate real-time controller depending on the robot's requirements. ### Source excerpt D-Robotics RDK S100P development kit is a robotics SBC built around an S100P-based module providing an alternative to NVIDIA Jetson Orin NX 16GB with a 6-core Cortex-A78AE application cluster, a 4-core Cortex-R52+ MCU domain, a Nash BPU rated at 128 TOPS INT8, a Mali-G78AE GPU, and 24 GB of LPDDR5. The four R52+ cores can be configured for reliable real-time control: two cores run in lockstep for safety, and the other two support split-lock operation. In practice, the A78AE CPU and BPU can handle Linux and vision processing, while the MCU handles time-critical tasks such as motor and sensor I/O. This can reduce the need for a separate real-time controller, although whether it eliminates one depends on the robot and its requirements. RDK S100P specifications: SoC - D-Robotics S100P CPU - 6x Arm Cortex-A78AE @ 2.0 GHz (safety-capable AE cores) MCU - 4x Arm Cortex-R52+ @ 1.2 GHz (1x DCLS [...] The post D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores appeared first on CNX Software - Embedded Systems News. ## GitLab compliance frameworks: Adhere to SOC 2 in minutes DevFeed: [GitLab compliance frameworks: Adhere to SOC 2 in minutes]() Original publisher: [Read original article]() Author: Fernando Diaz Published: 2026-08-27T00:00:00Z Content type: article Language: en Sources: [GitLab]() Topics: [GitLab](), [Template](), [configuration](), [Security](), [Software]() Tags: [application-security](), [article](), [compliance](), [devsecops](), [framework](), [how-to](), [platform](), [security](), [soc](), [software](), [software-delivery](), [tutorial]() ### AI overview This article explains how GitLab custom compliance framework templates help teams define controls, continuously monitor adherence, and prepare for audits. It uses SOC 2 as a central example and covers templates, policies, compliance requirements, and automated checks across GitLab deployment options. ### Source excerpt Compliance is the part of software delivery that everyone agrees is important, yet nobody enjoys. It often lives in spreadsheets, screenshots, and the quiet dread of an upcoming audit. GitLab's custom compliance frameworks work differently. Instead of documenting what should be true about your projects, you define the controls once and let the platform continuously verify what is true. In this article, you'll learn why compliance adherence matters, how to stand up a SOC 2 framework in minutes using a template, how to monitor adherence on an ongoing basis, how to enforce compliance with policies, and which standards already ship as ready-to-use templates. You'll also get a look at where AI-specific compliance templates are heading. You can watch the video below to see it in action: Tier note: Compliance frameworks are available in Premium and Ultimate. Framework requirements and controls, the checks that power adherence reporting and the compliance status report, require Ultimate. Everything here applies to GitLab.com, GitLab Self-Managed, and GitLab Dedicated. Why compliance adherence matters and how custom frameworks help Regulatory and contractual obligations like SOC 2, ISO 27001, PCI DSS, and FedRAMP exist because customers, partners, and regulators need assurance that your software is built and shipped responsibly. Falling short isn't just a paperwork problem. It can block deals, trigger fines, delay product launches, and erode trust. Compliance also isn't a one-time event. A project that was compliant at audit time can drift the moment someone disables a scanner, removes branch protection, or merges without the required approvals. Custom compliance frameworks are designed to close that gap. A compliance framework in GitLab is a label you create on a top-level group to identify projects that carry specific compliance obligations or need extra oversight. On its own that label provides organization and visibility. In Ultimate, a framework can also carry requireme [Next page]()