Tag: WebDev

The mantra of the modern tech industry was arguably coined by Facebook (before it became Meta): "move fast and break things." But as enterprise infrastructure has shifted into a dizzying maze of hybrid clouds, microservices, and ephemeral compute clusters, the "breaking" part has become a structural tax that many organizations can no longer afford to pay. Today, two-year-old startup NeuBird AI is launching a full-scale offensive against this "chaos tax," announcing a $19.3 million funding round alongside the release of its Falcon autonomous production operations agent.The launch isn't just a product update; it is a philosophical pivot. For years, the industry has focused on "Incident Response"—making the fire trucks faster and the hoses bigger. NeuBird AI is arguing that the only sustainable path forward is "Incident Avoidance". As Venkat Ramakrishnan, President and COO of

Presented by Capital One Data security remains one of the least mature domains in enterprise cybersecurity. According to IBM, 35% of breaches in 2025 involved unmanaged data source or “shadow data.” This reveals a systemic lack of basic data awareness. It’s not because of a lack of tooling or investment. It’s because many organizations still struggle with the most fundamental questions: What data do we have? Where does it live? How does it move? And who is responsible for it? In an increasingly complex ecosystem of data sources, cloud platforms, SaaS applications, APIs, and AI models, those questions are only becoming more difficult to answer. Closing the maturity gap in data security demands a cultural shift where security is no longer treated as an afterthought. Instead, protection is embedded throughout the full data lifecycle, grounded in a robust inventory, clear classification, and scalabl

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening one layer below all of that: Vendors are lining up around a shared way to describe security data. The Open Cybersecurity Schema Framework (OCSF), is emerging as one of the strongest candidates for that job.It gives vendors, enterprises, and practitioners a common way to represent security events, findings, objects, and context. That means less time rewriting field names and custom parsers and more time correlating detections, running analytics, and building workflows that can work across products. In a market where every security team is stitc

The age of agentic AI is upon us — whether we like it or not. What started with an innocent question-answer banter with ChatGPT back in 2022 has become an existential debate on job security and the rise of the machines. More recently, fears of reaching artificial general intelligence (AGI) have become more real with the advent of powerful autonomous agents like Claude Cowork and OpenClaw. Having played with these tools for some time, here is a comparison.First, we have OpenClaw (formerly known as Moltbot and Clawdbot). Surpassing 150,000 GitHub stars in days, OpenClaw is already being deployed on local machines with deep system access. This is like a robot “maid” (Irona for Richie Rich fans, for instance) that you give the keys to your house. It’s supposed to clean it, and you give it the necessary autonomy to take actions and manage your belongings (files

Are you a subscriber to Anthropic's Claude Pro ($20 monthly) or Max ($100-$200 monthly) plans and use its Claude AI models and products to power third-party AI agents like OpenClaw? If so, you're in for an unpleasant surprise. Anthropic announced a few hours ago that starting tomorrow, Saturday, April 4, 2026, at 12 pm PT/3 pm ET, it will no longer be possible for those Claude subscribers to use their subscriptions to hook Anthropic's Claude models up to third-party agentic tools, citing the strain such usage was placing on Anthropic's compute and engineering resources, and desire to serve a wide number of users reliably. "We’ve been working hard to meet the increase in demand for Claude, and our subscriptions weren't built for the usage pat

AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independent AI project, recently posted on X describing a "LLM Knowledge Bases" approach he's using to manage various topics of research interest. By building a persistent, LLM-maintained record of his projects, Karpathy is solving the core frustration of "stateless" AI development: the dreaded context-limit reset.As anyone who has vibe coded can attest, hitting a usage limit or ending a session often feels like a lobotomy for your project. You’re forced to spend valuable tokens (and time) reconstructing context for the AI, hoping it "remembers" the architectural nuances you just established. Karpathy proposes something simple

Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of industry dominance.The Nvidia CEO unveiled the Agent Toolkit, an open-source platform for building autonomous AI agents, and then rattled off the names of the companies that will use it: Adobe, Salesforce, SAP, ServiceNow, Siemens, CrowdStrike, Atlassian, Cadence, Synopsys,