OpenClaw’s Missing Kill Switch: The Enterprise Security Crisis
With 500K+ instances and no enterprise kill switch, OpenClaw represents the biggest AI agent security gap since SaaS shadow IT.
With 500K+ instances and no enterprise kill switch, OpenClaw represents the biggest AI agent security gap since SaaS shadow IT.
The security world has spent the last year fixated on models, copilots, and agents. But beneath that visible layer, a quieter change is reshaping how defenses are actually built: vendors are converging on a shared way to describe security data.… Read More »How OCSF Became the Common Security Data Language for the AI Era
US banking regulators are moving ahead with a capital relief package that could free tens of billions of dollars for the country’s largest lenders. Yet buried inside the same proposal is a pointed reminder that the core vulnerability exposed by… Read More »US Bank Capital Relief Plan Leaves SVB’s Core Weakness in Place
Bitcoin and traditional risk assets are sending sharply different messages in the wake of March’s euphoric “Hormuz Hope” rally. While U.S. equities just logged their strongest day in nearly a year on tentative ceasefire chatter between the U.S. and Iran,… Read More »Bitcoin Derivatives Cool After ‘Hormuz Hope’ Rally as $46B Market Flashes Risk Signals
Andrej Karpathy is experimenting with a different way to give large language models durable memory: not with vector databases and classic RAG stacks, but with a living Markdown wiki that the model itself maintains. For AI engineers and architects wrestling… Read More »Inside Karpathy’s LLM Knowledge Base: A Markdown-First Alternative to RAG for Autonomous Archives
Anthropic is abruptly changing how its Claude Pro and Max subscribers can use the company’s flagship models with third-party agent frameworks such as OpenClaw, shifting high-intensity automation workloads off flat-rate subscriptions and onto metered billing and API usage. For everyday… Read More »Anthropic Tightens Claude Access for Third-Party Agents: What Power Users Need to Know
Bitcoin spent the end of March trading in a seemingly calm range around $67,000, yet the forces shaping that price were anything but simple. Underneath the surface, one of the largest derivatives events of the year collided with persistent outflows… Read More »Retail Bitcoin Wallets Are Losing Their Grip on Short‑Term BTC Price Moves
Bitcoin enters a critical stretch with on-chain models, liquidity gauges, and macro catalysts all converging on a lower potential floor in the mid‑$40,000s. For traders and macro‑focused investors, the picture is less about whether a bottom is near and more… Read More »Bitcoin Braces for $45,000 Test as Fed Signals and Jobs Data Tighten Macro Pressure
AI-assisted development is beginning to do more than speed up engineers. In at least one AI-first software company, it is quietly redrawing who builds product, how work flows, and which parts of the org chart still make sense. The catalyst:… Read More »When AI Lets Product Managers Ship Code, the Software Org Chart Has to Change
As AI shifts from chatbots answering questions to autonomous agents taking actions, a new kind of internet user is emerging: non-human software that can research, buy, coordinate, and execute tasks with limited oversight. For crypto investors and builders, the key… Read More »Why Autonomous AI Agents Could Make Stablecoins and Identity Protocols the Real Crypto Winners
Bitcoin has just absorbed one of its sharpest drawdowns since spot exchange-traded funds (ETFs) launched in the US – and, for now, Wall Street has largely stayed put. The price slid below $67,000 over the weekend, leaving it more than… Read More »Bitcoin’s 40% Slide Tests Wall Street’s Nerves and Spot ETF Convictions
AI tooling in software development has a reputation problem. Many leaders have trialed code assistants and chat-based helpers, only to find that the promise of “10x engineering” collapses into underwhelming demos and half-finished experiments. Against that backdrop, one engineering organization… Read More »Inside an AI‑First Engineering Org: How One Team Hit 170% Throughput With 20% Fewer Developers