# Critical Infrastructure Systems, assets, technologies, networks, and services essential to security, economic well-being, public health, public safety, or essential societal functions. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Rail Network Modernization: FRMCS, Sovereignty and the AI Edge DevFeed: [Rail Network Modernization: FRMCS, Sovereignty and the AI Edge]() Original publisher: [Read original article]() Author: Steve Payne Published: 2026-09-15T13:31:46Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [Network](), [Critical Infrastructure](), [digital sovereignty](), [Resilience](), [Availability](), [Cybersecurity](), [Artificial Intelligence]() Tags: [2026](), [availability](), [cisco](), [cisco-industrial-iot-iiot](), [critical-infrastructure](), [digital-sovereignty](), [end-of-life](), [eu](), [europe](), [industries](), [infrastructure](), [internet-of-things-iot](), [latency](), [modernization](), [network](), [networks](), [nis2](), [resilience](), [systems](), [transportation](), [unified-edge]() ### AI overview Cisco's pre-InnoTrans 2026 perspective examines the modernization of European rail communications from GSM-R to FRMCS. It argues that the transition requires changes to the underlying IP network, including high availability, deterministic latency, cybersecurity, and large-scale automation, while operators address resilience, digital sovereignty, investment, and regulatory requirements. ### Source excerpt Join Cisco at InnoTrans 2026 to explore the next generation of rail networks. Discover how FRMCS, AI edge computing, and digital sovereignty are transforming critical infrastructure into secure, automated systems. ## Solana: Building, Proving and Earning Trust in Public DevFeed: [Solana: Building, Proving and Earning Trust in Public]() Original publisher: [Read original article]() Author: Jacob Creech Published: 2026-09-14T11:00:00Z Content type: article Language: en Sources: [Solana News Feed]() Topics: [Network](), [Critical Infrastructure](), [incident](), [networking](), [Transactions](), [Amazon Web Services]() Tags: [2026](), [aws](), [blockchain](), [blockchain-technology](), [building](), [critical-infrastructure](), [crypto](), [crypto-news](), [cryptocurrency](), [defi](), [ecosystem](), [incident](), [infrastructure](), [network](), [nfts](), [outages](), [podcasts](), [routing](), [solana](), [solana-ecosystem](), [technology](), [transactions](), [uptime](), [web3]() ### AI overview Solana describes how repeated public testing, transparent incident reporting, and corrective engineering have strengthened trust in the network. It highlights a 2026 routing failure that took nearly 29% of network stake offline while blocks and transactions continued, followed by recovery of the infrastructure provider in just over 30 minutes. The article also cites validator capacity improvements, stake-weighted quality of service, and a redesigned transaction scheduler as examples of resilience work. ### Source excerpt Solana has maintained 100% uptime since February 2024, including when a routing failure took nearly 29% of network stake offline. ## Deploying AI You Control Doesn't Need to be So Hard DevFeed: [Deploying AI You Control Doesn't Need to be So Hard]() Original publisher: [Read original article]() Author: Jeetu Patel Published: 2026-09-10T09:00:50Z Content type: news Language: en Sources: [Cisco Blogs]() Topics: [Artificial Intelligence](), [AI Platforms/Deployment](), [AI Factory](), [Nvidia](), [Critical Infrastructure](), [post-training](), [data](), [Nemotron](), [on-prem](), [Fine-tuning](), [Cloud](), [Benchmark]() Tags: [ai](), [ai-factory](), [ai-infrastructure](), [ai-strategy](), [cisco-cloud-control-framework](), [cisco-secure-ai-factory](), [cloud](), [critical-infrastructure](), [data](), [executive-platform](), [fine-tuning](), [infrastructure](), [model](), [models](), [nemotron](), [nvidia](), [on-prem](), [post-training]() ### AI overview Cisco announces a collaboration with Palantir to deliver Palantir's Ontology for Cybersecurity through Cisco's Secure AI Factory, using NVIDIA as a preferred full-stack foundation for Palantir's Sovereign AI OS. The article argues that enterprise AI decisions should balance intelligence, cost, and control, including custom evaluations, post-training with proprietary data, and deployment in the cloud, at the edge, or on-premises. ### Source excerpt Announcing a collaboration with Palantir to deliver Cisco's Secure AI Factory with NVIDIA as a preferred full-stack foundation for Palantir's Sovereign AI OS. ## The invisible heartbeat of our networks DevFeed: [The invisible heartbeat of our networks]() Original publisher: [Read original article]() Author: Luca Cicchelli Published: 2026-08-31T23:03:47Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Networks](), [distributed-systems](), [Critical Infrastructure](), [Security](), [5G](), [Cybersecurity](), [cloud-infrastructure](), [AI Infrastructure]() Tags: [5g](), [ai](), [ai-infrastructure](), [critical-infrastructure](), [cybersecurity](), [data](), [distributed-systems](), [engineering](), [gnss](), [gps](), [guest-post](), [hardware](), [network](), [networking](), [networks](), [outage](), [outages](), [post](), [servers](), [systems](), [tech-matters](), [time](), [transactions]() ### AI overview The article examines how accurate time synchronization underpins modern networks and distributed systems. It uses the Telstra outage to show how misaligned time servers can disrupt communications and rail services, and discusses resilient time sources, terrestrial backups, local atomic clocks, and synchronization requirements for finance, 5G, cloud, and AI infrastructure. ### Source excerpt Guest Post: The recent Telstra outage highlighted a critical but often overlooked dependency in modern networks: Accurate time synchronization. ## This month in security with Tony Anscombe - August 2026 edition DevFeed: [This month in security with Tony Anscombe - August 2026 edition]() Original publisher: [Read original article]() Author: Editor Published: 2026-08-31T08:55:00Z Content type: news Language: en Sources: [WeLiveSecurity]() Topics: [Cybersecurity](), [Critical Infrastructure](), [hugging face](), [Artificial Intelligence](), [OpenAI](), [Flight](), [Network](), [spoofing](), [incident]() Tags: [ai](), [airline](), [critical-infrastructure](), [cybersecurity](), [hugging-face](), [incident](), [network](), [openai](), [spoof](), [video]() ### AI overview Tony Anscombe reviews major cybersecurity stories from August 2026, including the Hugging Face hack involving OpenAI agents, attacks on critical infrastructure, a spoofed airline Wi-Fi network, and the shutdown of fraudulent call centers in Ukraine. ### Source excerpt Details about the Hugging Face hack, critical infrastructure under attack, a spoofed in-flight Wi-Fi network, and more of this month's cybersecurity news ## Fast Track ISM-ready cloud environments and IRAP Assessments with Landing Zone Accelerator on AWS DevFeed: [Fast Track ISM-ready cloud environments and IRAP Assessments with Landing Zone Accelerator on AWS]() Original publisher: [Read original article]() Author: Kevin Donohue Published: 2026-08-25T21:53:49Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [Security & compliance, Cloud security](), [Amazon Web Services](), [Cloud](), [Security](), [Deployment](), [configuration](), [Critical Infrastructure]() Tags: [announcements](), [architecture](), [australia](), [aws](), [cloud](), [cloud-security](), [compliance](), [critical-infrastructure](), [deployment](), [foundational-100](), [governance](), [government](), [infrastructure](), [irap](), [public-sector](), [security](), [security-best-practices](), [security-blog](), [security-identity-compliance]() ### AI overview This AWS security post announces an independent assessment report on Landing Zone Accelerator on AWS (LZA). It explains how LZA can automatically deploy multi-account AWS environments with coverage for Australian Government Information Security Manual (ISM) security controls, and describes configuration-drift testing and compliance documentation intended to support IRAP assessment readiness. ### Source excerpt This post announces the availability of a new independent assessment report available on AWS Artifact analyzing how Landing Zone Accelerator on AWS (LZA) can automatically deploy multi-account environments in Amazon Web Services (AWS) with Australian Government Information Security Manual (ISM) security controls coverage at scale. The report includes findings from an independent third-party analysis conducted [...] ## Generating scenarios for extreme events, without extreme data DevFeed: [Generating scenarios for extreme events, without extreme data]() Original publisher: [Read original article]() Author: Jennifer Chu | MIT News Published: 2026-08-24T18:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Machine learning](), [Algorithms](), [Critical Infrastructure](), [data]() Tags: [algorithm](), [algorithms](), [artificial-intelligence](), [center-for-computational-science-and-engineering](), [climate](), [climate-risk-assessment](), [computer-modeling](), [critical-infrastructure](), [data](), [extreme-event-aware](), [extreme-weather](), [fire](), [heat](), [idss](), [kai-chang](), [learning-fefb62e9fa83](), [machine-learning](), [mechanical-engineering](), [mit-meche](), [mit-schwarzman-college-of-computing](), [natural-disasters](), [research](), [risk](), [school-of-engineering](), [storm](), [sustainability](), [themis-sapsis](), [weather](), [weather-prediction]() ### AI overview MIT engineers developed a machine-learning algorithm that generates plausible future extreme-event scenarios without requiring past extreme events in the training data. It learns from available records, filters out implausible weather scenarios, and estimates events' frequency, size, intensity, duration, and area of impact to help planners prepare. ### Source excerpt A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for. ## Frequently asked questions about the active threat to Siemens S7 Series PLCs DevFeed: [Frequently asked questions about the active threat to Siemens S7 Series PLCs]() Original publisher: [Read original article]() Author: Research Special Operations Published: 2026-08-20T14:01:58Z Content type: article Language: en Sources: [Tenable Blog]() Topics: [Cybersecurity](), [Artificial Intelligence](), [Critical Infrastructure](), [Reconnaissance](), [Script](), [Networks](), [Threat Research]() Tags: [ai](), [attacks](), [critical-infrastructure](), [cybersecurity](), [infrastructure](), [networks](), [research](), [security](), [techniques]() ### AI overview This FAQ explains an active threat targeting internet-exposed or insufficiently segmented Siemens S7 Series PLCs. It describes how threat actors use AI-generated exploitation scripts for reconnaissance and capability building, and outlines mitigations including removing direct internet exposure, segmenting OT from IT networks, and hardening access controls. ### Source excerpt A joint cybersecurity advisory released by multiple U.S. government agencies warns that threat actors are using AI-generated exploitation scripts to target exposed Siemens S7 Series PLCs across critical infrastructure sectors. Key Takeaways Unattributed threat actors are exploiting known weaknesses and unnecessary internet exposure to conduct reconnaissance and possible pre-positioning for future disruptive attacks against Siemens S7 Series PLCs. The attackers are leveraging AI to build and refine exploit scripts faster than manual development would allow. AI use lowers the technical bar for ICS attacks in a way defenders haven't had to plan for before. There is no single patch, because there is no single flaw. Mitigation depends on removing Siemens S7 Series PLCs from direct internet exposure, segmenting OT from IT networks and hardening access controls. Background On August 19, 2026, the National Security Agency (NSA), the Cybersecurity and Infrastructure Security Agency (CISA), the Federal Bureau of Investigation (FBI), the Department of Energy (DOE) and the Environmental Protection Agency (EPA) released a joint Cybersecurity Advisory (AA26-231A) warning that threat actors are actively targeting Siemens S7 Series programmable logic controllers (PLCs) that are exposed to the internet or insufficiently segmented from it. The activity spans the S7-200, S7-300, S7-400, S7-1200 and S7-1500 series and most heavily affects the Critical Manufacturing, Energy, Water and Wastewater, Chemical, Food and Agriculture and Commercial Facilities sectors, with potential exposure in the Defense Industrial Base as well. According to the authoring agencies, threat actors are using AI-generated exploitation scripts, disguised as legitimate operational technology (OT) monitoring tools, to conduct reconnaissance and build capability against exposed PLCs. The Tenable Research Special Operations Team (RSO) has put together this frequently asked questions (FAQ) blog to help security and OT ## Run agentic software delivery inside the boundaries you already trust DevFeed: [Run agentic software delivery inside the boundaries you already trust]() Original publisher: [Read original article]() Author: Ozer Dondurmacioglu Published: 2026-08-20T00:00:00Z Content type: article Language: en Sources: [GitLab]() Topics: [GitHub](), [Amazon Bedrock](), [Cloud](), [Amazon Web Services](), [Inference](), [Software as a service](), [AI Development](), [Critical Infrastructure]() Tags: [agentic](), [ai](), [amazon-bedrock](), [aws](), [cloud](), [critical-infrastructure](), [inference](), [product](), [software](), [software-delivery](), [software-development]() ### AI overview GitLab introduces AI Gateway for GitLab Dedicated, enabling customers to run AI processing within their single-tenant environment and selected AWS region. The gateway supports Amazon Bedrock and other preferred model providers, while GitLab maintains the managed infrastructure, availability, and disaster recovery. GitLab Duo Agent Platform capabilities such as code review automation, failed-pipeline fixes, and security analysis can use customer-selected models. ### Source excerpt Many enterprises choose GitLab Dedicated for a clear reason: a single-tenant instance, managed by GitLab, in a cloud region they select. That isolation already covers source code, project data, and the software development lifecycle they run on GitLab. GitLab Dedicated customers can now deploy the AI Gateway for the GitLab Duo Agent Platform inside their single-tenant SaaS infrastructure, so AI-processed data stays in their environment and chosen region. GitLab Dedicated as the critical infrastructure for software delivery GitLab Dedicated is deployed in your preferred AWS region, and hosted and maintained by GitLab. You can bring your own encryption keys. No private cloud installation required. GitLab operates the instance, including high availability and disaster recovery, and maintains 99.9% monthly availability for core services. Updates to GitLab Dedicated follow a stability-first cadence, with instances on the previous minor version (N-1) relative to the current GitLab release. That is the infrastructure organizations already trust when they scale software delivery under audit: guardrails you can take to a regulator, SaaS operations you do not staff, and an availability target that holds when the platform is in the critical path. Trust should travel with every agent Agentic workflows demand more from your software development lifecycle beyond the AI coding: increased pipeline volume, greater risk for vulnerabilities introduced, context that needs to travel with every agent and flow, among others. The isolation, residency, and service-level requirements that already apply to GitLab Dedicated should apply to that inference path too, especially with growing adoption of agentic software development. Adopt AI while staying compliant Here is what's new with the introduction of AI Gateway for GitLab Dedicated: Keep AI processing in the tenancy. The AI Gateway runs in the Dedicated single-tenant environment, aligned with data residency. Bring your own models. Connect ## Athena's free vulnerability intelligence model and the economics of security clearinghouses DevFeed: [Athena's free vulnerability intelligence model and the economics of security clearinghouses]() Original publisher: [Read original article]() Published: 2026-07-15T00:00:00Z Content type: opinion Language: en Sources: [Chainguard: Unchained]() Topics: [Security](), [Open Source](), [Critical Infrastructure](), [Network]() Tags: [akrites](), [chainguard-athena](), [critical-infrastructure](), [fable](), [infrastructure](), [money](), [mythos](), [network](), [open-source](), [security](), [software-supply-chain-security](), [trust](), [vulnerability-clearninghouse]() ### AI overview The article explains why Athena provides pre-disclosure vulnerability findings to infrastructure and network partners for free. It argues that allowing partners to commercialize services built on advance security information can align incentives, trust, and broader defensive value, while distinguishing government programs from commercial clearinghouses. ### Source excerpt Why give away the most valuable data in security? Learn how Athena's business model aligns trust, incentives, and open source defense. ## AI-driven zero-day combinations are challenging software security and open-source consumption DevFeed: [AI-driven zero-day combinations are challenging software security and open-source consumption]() Original publisher: [Read original article]() Published: 2026-05-28T00:00:00Z Content type: opinion Language: en Sources: [Chainguard: Unchained]() Topics: [Artificial Intelligence](), [open-source-security](), [Security](), [Open Source](), [Machine Learning, Security Attacks](), [Critical Infrastructure](), [openssf](), [sigstore]() Tags: [ai](), [anthropic-mythos](), [chainguard-containers](), [critical-infrastructure](), [fork](), [mfa](), [mythos](), [open-source](), [open-source-security](), [openssf](), [oss](), [project-glasswing](), [rust](), [sast](), [secure-open-source](), [security](), [sigstore]() ### AI overview The article argues that Mythos represents a potential new class of software-security threat: AI-driven combinations of existing issues that can produce more serious attacks than individual scanner findings. It discusses the limits of government regulation and calls for stronger trust infrastructure, coordinated disclosure, and safer open-source consumption. ### Source excerpt Mythos is changing software security fast. AI-driven zero-days demand new trust infrastructure, coordinated disclosure, and secure open source consumption. ## Canada's CPCSC and Bill C-8 are coming. Here's what you need to do. DevFeed: [Canada's CPCSC and Bill C-8 are coming. Here's what you need to do.]() Original publisher: [Read original article]() Published: 2026-05-14T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard](), [Cybersecurity](), [Critical Infrastructure](), [Security](), [Containers](), [Cloud Native Ecosystem]() Tags: [bill-c-8](), [canada-cmmc](), [canadian-program-for-cyber-security-certification](), [chainguard](), [chainguard-containers](), [chainguard-libraries](), [cmmc](), [compliance](), [containers](), [cpcsc](), [critical-infrastructure](), [cybersecurity](), [federal-compliance](), [fedramp](), [nist](), [zero-cve-containers]() ### AI overview This article explains Canada's Canadian Program for Cyber Security Certification (CPCSC) and Bill C-8, focusing on the implications for defence suppliers and organizations in critical infrastructure. It describes the CPCSC as a mandatory cybersecurity certification regime, compares its technical basis with CMMC and NIST Special Publications 800-171 and 800-172, and outlines why organizations should prepare for Level 1 requirements. The article also describes how Chainguard can help Canadian defence suppliers meet those requirements with secure, zero-CVE containers. ### Source excerpt CPCSC compliance is coming fast. Learn how Chainguard helps Canadian defence suppliers meet Level 1 requirements with secure, zero-CVE containers. ## Chainguard brings first-party RHEL 9 and RHEL 10 RPM support to Chainguard OS, joins FINOS DevFeed: [Chainguard brings first-party RHEL 9 and RHEL 10 RPM support to Chainguard OS, joins FINOS]() Original publisher: [Read original article]() Published: 2026-05-11T00:00:00Z Content type: news Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard](), [chainguard os](), [chainguard containers](), [Security](), [Critical Infrastructure](), [Package Management](), [Open Source](), [Cloud Native Ecosystem](), [Resilience](), [APK](), [Linux]() Tags: [chainguard](), [chainguard-containers](), [chainguard-finserv](), [chainguard-os](), [cloud](), [cloud-native](), [compatibility](), [compliance](), [container](), [container-images](), [containers](), [critical-infrastructure](), [cve](), [dependencies](), [hardening](), [images](), [linux](), [make](), [mythos](), [open](), [open-source](), [project-glasswing](), [rhel](), [rhel-10](), [rhel-9]() ### AI overview Chainguard announces first-party RHEL 9 and RHEL 10 RPM compatibility for packages in Chainguard Containers built on Chainguard OS. The company also announces that it is joining FINOS to support open source collaboration in financial infrastructure. ### Source excerpt Chainguard adds first-party RHEL 9/10 RPM compatibility and joins FINOS, helping financial institutions modernize securely for the AI-driven threat era. ## Scaling Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber DevFeed: [Scaling Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber]() Original publisher: [Read original article]() Published: 2026-05-07T13:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [Cybersecurity](), [Critical Infrastructure](), [vulnerability](), [Detection engineering](), [Reverse Engineering](), [Threat Research]() Tags: [ai](), [critical-infrastructure](), [cybersecurity](), [developers](), [engineering](), [openai](), [research](), [reverse-engineering](), [security](), [validation](), [vulnerability]() ### AI overview OpenAI describes Trusted Access for Cyber, an identity- and trust-based framework that provides verified defenders with enhanced GPT-5.5 capabilities for authorized cybersecurity workflows. GPT-5.5-Cyber is being introduced in limited preview for defenders securing critical infrastructure, with safeguards against activities such as credential theft, persistence, malware deployment, and exploitation of third-party systems. ### Source excerpt OpenAI expands Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber, helping verified defenders accelerate vulnerability research and protect critical infrastructure. ## How to Secure Third-Party Remote Access to Data Centers (Without SSH Keys) DevFeed: [How to Secure Third-Party Remote Access to Data Centers (Without SSH Keys)]() Original publisher: [Read original article]() Author: info@goteleport.com (Mayur Pipaliya) Published: 2026-05-07T00:00:00Z Content type: article Language: en Sources: [Teleport]() Topics: [remote access](), [datacenter](), [Critical Infrastructure](), [ssh](), [Cloud]() Tags: [api-keys](), [audit](), [credentials](), [critical-infrastructure](), [data-centers](), [incident](), [infrastructure](), [passwords](), [remote](), [remote-access](), [ssh](), [vpn]() ### AI overview This article explains the security risks of third-party remote access to data center infrastructure, including shared SSH keys, VPN credentials, screen-sharing sessions, and other static credentials. It describes credential sprawl, identity fragmentation, persistent access, and limited auditability, and outlines identity-based approaches to securing this access. ### Source excerpt Explore the key challenges of third-party access to data center infrastructure and how to secure remote access without static credentials or identity blind spots. ## Allocation Update - Q1 2026 DevFeed: [Allocation Update - Q1 2026]() Original publisher: [Read original article]() Author: Ethereum Foundation Ecosystem Support Program Published: 2026-04-29T00:00:00Z Content type: article Language: en Sources: [Ethereum Foundation Blog]() Topics: [Ethereum](), [Cryptography](), [Security](), [zero-knowledge](), [Critical Infrastructure](), [Machine Learning, Security Attacks](), [Network](), [Protocol (disambiguation)](), [Tool]() Tags: [2026](), [critical-infrastructure](), [cryptography](), [ecosystem-support-program](), [ethereum](), [infrastructure](), [network](), [protocol](), [research](), [security](), [tools](), [update](), [zero-knowledge]() ### AI overview An Ethereum Foundation Q1 2026 allocation update describes continued investment in Ethereum's foundations, including cryptography, zero-knowledge proofs, security, and protocol research. It points to supported projects and ecosystem efforts advancing infrastructure, tools, and research across the network. ### Source excerpt Q1 2026 continued our focus on strengthening Ethereum's foundations, with sustained investment in core domains like cryptography, zero-knowledge proofs, security, and protocol research. See the list below of the projects and ecosystem efforts we supported this quarter as builders advance critical infrastructure, tools, and research across the network. Explore... ## Accelerating the cyber defense ecosystem that protects us all DevFeed: [Accelerating the cyber defense ecosystem that protects us all]() Original publisher: [Read original article]() Published: 2026-04-16T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [Cybersecurity](), [supply-chain-security](), [open-source-security](), [Vulnerabilities](), [Critical Infrastructure](), [Open Source](), [API](), [Cloudflare](), [Nvidia]() Tags: [api](), [critical-infrastructure](), [cybersecurity](), [developers](), [enterprise](), [global](), [gpt](), [infrastructure](), [open-source](), [open-source-security](), [openai](), [security](), [vulnerabilities]() ### AI overview OpenAI describes Trusted Access for Cyber, a program intended to expand access to advanced cybersecurity capabilities according to trust, validation, and safeguards. It is providing $10 million in API credits through a Cybersecurity Grant Program to help security teams, vulnerability researchers, maintainers, enterprises, and other defenders strengthen software supply chain security and vulnerability research. ### Source excerpt Leading security firms and enterprises join OpenAI's Trusted Access for Cyber, using GPT-5.4-Cyber and $10M in API grants to strengthen global cyber defense. ## A million events per second: How Lago scales usage-based billing with ClickHouse Cloud DevFeed: [A million events per second: How Lago scales usage-based billing with ClickHouse Cloud]() Original publisher: [Read original article]() Author: ClickHouse Published: 2026-03-05T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Cloud](), [Data Infrastructure](), [Critical Infrastructure](), [Open Source](), [Security]() Tags: [billing](), [clickhouse](), [cloud](), [critical-infrastructure](), [data-infrastructure](), [latency](), [open-source](), [security](), [usage-based-billing]() ### AI overview Lago uses ClickHouse Cloud and ClickPipes to ingest, store, and query usage events for real-time, usage-based billing. The article describes scaling from 10,000 to 1 million events per second while supporting complex enterprise pricing models without operating its own data infrastructure. ### Source excerpt "We tried so many databases. The only one that worked really well and that was really easy to understand was ClickHouse." "We're the only billing solution that can provide one million events per second ingestion. Without ClickHouse, this wouldn't be poss ## This month in security with Tony Anscombe - February 2026 edition DevFeed: [This month in security with Tony Anscombe - February 2026 edition]() Original publisher: [Read original article]() Author: Editor Published: 2026-02-28T10:00:00Z Content type: news Language: en Sources: [WeLiveSecurity]() Topics: [Security](), [Cybersecurity](), [Generative AI](), [Malware](), [Artificial Intelligence](), [Critical Infrastructure](), [Android](), [incident](), [MFA]() Tags: [ai](), [android](), [critical-infrastructure](), [cybersecurity](), [genai](), [generative-ai](), [incident](), [malware](), [news](), [security](), [video]() ### AI overview A February 2026 cybersecurity news roundup covering attacks involving exposed FortiGate management ports and weak authentication, generative-AI-enabled Android malware, ATM jackpotting, and cyberattacks against critical infrastructure. ### Source excerpt In this roundup, Tony looks at how opportunistic threat actors are taking advantage of weak authentication, unmanaged exposure, and popular AI tools ## Pacific Northwest National Laboratory and OpenAI partner to accelerate federal permitting DevFeed: [Pacific Northwest National Laboratory and OpenAI partner to accelerate federal permitting]() Original publisher: [Read original article]() Published: 2026-02-26T10:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI-assisted coding](), [OpenAI](), [Benchmark](), [AI Models](), [codex](), [Command-line interface](), [Critical Infrastructure](), [Filesystems]() Tags: [ai](), [ai-coding](), [ai-models](), [benchmark](), [cli](), [critical-infrastructure](), [department-of-energy](), [global-affairs](), [infrastructure](), [openai](), [work]() ### AI overview OpenAI and Pacific Northwest National Laboratory evaluated whether coding agents can accelerate federal NEPA permitting work. Their DraftNEPABench benchmark found that generalized coding agents could reduce environmental-impact-statement drafting time by up to roughly 15%, or 1 to 5 hours per subsection. ### Source excerpt OpenAI and Pacific Northwest National Laboratory introduce DraftNEPABench, a new benchmark evaluating how AI coding agents can accelerate federal permitting--showing potential to reduce NEPA drafting time by up to 15% and modernize infrastructure reviews. ## ESET Research: Sandworm behind cyberattack on Poland's power grid in late 2025 DevFeed: [ESET Research: Sandworm behind cyberattack on Poland's power grid in late 2025]() Original publisher: [Read original article]() Author: ESET Research Published: 2026-01-23T16:58:26Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [ESET research](), [Critical Infrastructure](), [apt](), [Malware](), [data]() Tags: [analysis](), [apt](), [critical-infrastructure](), [energy](), [eset-research](), [history](), [infrastructure](), [malware](), [research](), [security]() ### AI overview ESET Research attributes a late-2025 cyberattack on Poland's power grid to the Russia-aligned Sandworm APT group with medium confidence. The attack used data-wiping malware named DynoWiper, although no successful disruption has been identified. The article places the incident in the context of Sandworm's history of attacks on critical infrastructure, including the 2015 Ukrainian power-grid blackout. ### Source excerpt The attack involved data-wiping malware that ESET researchers have now analyzed and named DynoWiper ## Black Hat Europe 2025: Was that device designed to be on the internet at all? DevFeed: [Black Hat Europe 2025: Was that device designed to be on the internet at all?]() Original publisher: [Read original article]() Author: Tony Anscombe Published: 2025-12-12T15:22:52Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [Vulnerabilities](), [Critical Infrastructure](), [Security](), [Software](), [Virtual Private Network](), [Internet](), [.env]() Tags: [2025](), [black-hat](), [business-security](), [critical-infrastructure](), [europe](), [firmware](), [internet](), [security](), [vpn](), [vulnerabilities]() ### AI overview The article examines a building management system used in more than 1,000 buildings that contains extensive vulnerabilities and is exposed through public-facing internet connections. It attributes the weaknesses to legacy firmware, acquisitions, insufficient security auditing, and incomplete remediation, and argues that organizations should perform full code audits and address root causes after vulnerability disclosures. It also warns that systems not designed for internet exposure should be protected behind a VPN, particularly when they support critical infrastructure. ### Source excerpt Behind the polished exterior of many modern buildings sit outdated systems with vulnerabilities waiting to be found ## Gremlin's unofficial reliability track for Gartner IOCS 2025 DevFeed: [Gremlin's unofficial reliability track for Gartner IOCS 2025]() Original publisher: [Read original article]() Author: Gavin Cahill Published: 2025-12-01T00:00:00Z Content type: article Language: en Sources: [Gremlin Blog]() Topics: [SRE](), [incident](), [Critical Infrastructure](), [AI Agent](), [genai]() Tags: [2025](), [agentic-ai](), [analysts](), [critical-infrastructure](), [gartner](), [incident](), [site-reliability](), [talks](), [team-topologies]() ### AI overview Gremlin presents an unofficial reliability-focused track for Gartner IOCS 2025, highlighting sessions on software-update risks, critical dependencies, SRE team structures, and the future of reliability in an AI agent world. ### Source excerpt Check out the Gremlin-curated unofficial track of reliability talks at Gartner IOCS 2025. ## How Documentation Is Changing in the Age of AI DevFeed: [How Documentation Is Changing in the Age of AI]() Original publisher: [Read original article]() Author: Han Wang Published: 2025-11-24T00:00:00Z Content type: opinion Language: en Sources: [Mintlify Blog]() Topics: [Documentation](), [Artificial Intelligence](), [AI Agent](), [Critical Infrastructure](), [Claude Code](), [cursor]() Tags: [agent](), [ai](), [ai-agent](), [ai-trends](), [claude-code](), [critical-infrastructure](), [cursor](), [development](), [documentation](), [quality]() ### AI overview The article argues that documentation now serves both human readers and AI systems, including support agents, coding assistants, and other automated workflows. It emphasizes that inaccurate or incomplete documentation can cause AI systems to repeat errors at scale, and argues for self-updating knowledge systems because human-maintained documentation is difficult to keep current. ### Source excerpt How documentation is changing in the age of AI. [Next page]()