Author: Carter

I’ll paraphrase the HTML content while keeping the HTML structure intact and maintaining the English language. Recent benchmarks released by the UK government’s AI Security Institute (AISI) reveal that AI models have made remarkable strides in conducting comprehensive, multi-step penetration tests that rival human performance on identical tasks. Back in November 2025, AISI — a research body under the Department for Science, Innovation and Technology (DSIT) — reported that the complexity of cyber tasks handled by top AI models was doubling every eight months. By February this year, progress had quickened, with task difficulty doubling every 4.7 months. The newest…

Posted on May 18, 2026 by Shamsher Khan, CNCF Community Member CNCF projects highlighted in this post The session that left no record A kubectl debug session can contain the only direct observation of a failing system state. However, once the session ends, Kubernetes does not retain the termination context of that session in its API. This is not a kubectl bug — it follows directly from the Kubernetes API design for ephemeral containers. Once the pod state changes, the Kubernetes API no longer exposes the termination context of that debug session. The exit code that encoded your finding, the…

In 2024, almost every service provider featured in Gartner’s Magic Quadrant for global WAN services and Magic Quadrant for managed network services reports confirmed they had begun using artificial intelligence (AI) in multiple areas of enterprise network operations. Key applications include AI for IT operations (AIOps), generative AI (GenAI) as a network assistant, improved service delivery, and AI within secure access service edge (SASE) and network security. AIOps has become a core capability in managed networking. Major providers like HCLTech, Microland, and NTT Data are now combining AIOps with network automation to streamline service onboarding and enhance the customer…

Amazon has launched Alexa for Shopping, merging its Rufus shopping chatbot with Alexa+ across its app, website, and Echo Show devices.The assistant can answer product questions, compare items, track prices, and support shopping reminders. It can also handle scheduled shopping actions and eligible automated purchases.The company said Alexa for Shopping combines Rufus’ product expertise with Alexa+’s personalised assistant context. Amazon said Rufus helped more than 300 million customers in 2025 research, compare, and buy products.GeekWire reported that Amazon is retiring the Rufus name from its shopping interface, while Rufus will continue to power parts of the experience behind the scenes.GeekWire…

Bagdonaite, I. et al. Glycoproteomics. Nat. Rev. Methods Primers 2, 48 (2022).Bern, M., Kil, Y. J. & Becker, C. Byonic: advanced peptide and protein identification software. Curr. Protoc. Bioinform. 40, 13 (2012).Article Google Scholar Zeng, W.-F., Cao, W.-Q., Liu, M.-Q., He, S.-M. & Yang, P.-Y. Precise, fast and comprehensive analysis of intact glycopeptides and modified glycans with pGlyco3. Nat. Methods 18, 1515–1523 (2021).Article Google Scholar Polasky, D. A., Yu, F., Teo, G. C. & Nesvizhskii, A. I. Fast and comprehensive N- and O-glycoproteomics analysis with MSFragger-Glyco. Nat. Methods 17, 1125–1132 (2020).Article Google Scholar Lu, L., Riley, N. M., Shortreed, M.…

According to on-chain analytics from Lookonchain, three distinct types of major investors have been building positions in Ethereum (ETH), Zcash (ZEC), and Hyperliquid (HYPE) this week. The daily charts for each asset are now showing patterns that could validate those moves. The approach differs across the three trades. One large holder is accumulating ETH on the spot market, another has taken a leveraged long position in ZEC, and a wallet connected to venture firm a16z continues to add to its HYPE holdings. Ethereum Whale Steps Back In at Channel Support Ethereum has been moving within an ascending parallel channel since…

Imagine a phishing email that appears harmless enough to bypass security filters, yet carries enough danger to compromise an entire organization after just one click. This is the challenge many security operations centers (SOCs) still face: attacks that leave teams uncertain about what data was exposed, who else may have been targeted, and how broadly the threat has spread. Early detection of phishing attempts bridges that gap. It enables teams to shift from doubt to actionable proof more quickly, cut down on response times, and prevent a single overlooked link from escalating into stolen accounts, unauthorized remote access, or major…

For the last few months, we’ve been testing a range of security-focused LLMs on our own infrastructure. These LLMs help identify potential vulnerabilities in our own systems, so we can fix them – and they also show us what attackers are going to be able to do with the latest models.None of these LLMs has captured more attention than Mythos Preview, from Anthropic. A few weeks ago, we were invited to use Mythos Preview as part of Project Glasswing. We soon pointed it at more than fifty of our own repositories – to see what it would find, and to…

Managing corrosion is critical because rivets in connected industrial gear, outdoor IoT setups, smart utility networks, and edge devices are frequently subjected to rain, washdown water, salty air, or chemical residues for extended periods. In such settings, fastener deterioration can compromise not just structural soundness but also the lasting dependability of attached sensors, housings, and communication modules. Even small rust spots can cause discoloration, joint loosening, and reduced operational lifespan well before major components fail. Stainless steel performs exceptionally well due to its metallurgical properties. Its alloy composition generates a protective surface layer, its internal grain structure remains consistent, and…

I’ve written several pieces about Anthropic’s Claude Code, including how I use it for development and various strategies I employ to boost its effectiveness. That said, over the past two weeks, I’ve been testing OpenAI’s Codex more intensively and have noticed a significant improvement compared to its performance a few months ago. From my experience, Codex performs just as well as Claude Code on many tasks, with the added benefit of often being faster and more precise in following instructions—without making unintended changes to other parts of the code, which has been a recurring issue with Claude Code. In this…