Artificial intelligence and machine learning news
The Rust Survey Team has released findings from the 10th annual State of Rust survey, which collected community feedback over a 30-day period. This milestone edition continues the tradition of gathering insights on language adoption, developer experience, and ecosystem trends within the Rust programming community.
Twenty-three CVEs were actively exploited in January 2026, featuring a Microsoft Office zero-day leveraged by APT28 and critical authentication bypass vulnerabilities affecting enterprise infrastructure.
GrayCharlie turns compromised WordPress sites into malware delivery machines. Discover how this threat actor chains fake browser updates and ClickFix lures to deploy NetSupport RAT, Stealc, and Sectop...
Security teams gain actionable control over threat investigations through network intelligence that delivers comprehensive global visibility, eliminating reliance on overwhelming passive threat feeds.
Recorded Future validated its Autonomous Threat Operations solution by deploying it internally as the first customer, using their own Security Operations Center to verify real-world effectiveness before commercial release.
Railway, the San Francisco cloud platform that reached two million developers purely through organic growth and zero marketing spend, has closed a $100 million Series B funding round.
The artificial intelligence coding revolution comes with a catch: it's expensive.Claude Code, Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has cap...
Alfred Wahlforss faced a recruiting crisis. His startup, Listen Labs, needed more than 100 engineers, but couldn't match Mark Zuckerberg's $100 milli...
Modern threat and vulnerability management (TVM) requires a fundamental shift from legacy approaches. Traditional tools struggle to keep pace with today's attack surface complexity, making threat intelligence integration critical for effective security operations and risk prioritization.
Prevent ransomware attacks by detecting threat indicators before file encryption starts. Intelligence-driven detection systems identify early-stage malicious behaviors while minimizing false alerts, enabling security teams to respond more quickly and effectively.
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users...
Nous Research, an open-source AI startup supported by Paradigm, launched a competitive programming model that reportedly performs on par with or surpasses multiple leading alternatives in coding tasks.
Boris Cherny runs five AI coding agents simultaneously in his terminal. While one debugs a legacy module, another writes documentation, and a third ex...
Enterprise threat intelligence is evolving rapidly through 2026, driven by AI-enhanced capabilities, platform consolidation, and deeper integration into security workflows. Organizations are prioritizing unified CTI platforms that enable cross-source data correlation while demonstrating measurable ROI and advancing operational maturity.
Law firms hold some of the most sensitive corporate intelligence in existence—M&A deal structures, negotiation strategies, and privileged client data spanning decades. When these firms suffer breaches, the fallout extends far beyond the firm itself, cascading through vendor ecosystems and exposing the organizations that trusted them with their most confidential information. Understanding how to identify and reduce third-party vendor risk before a breach occurs is critical for any enterprise with legal partners in its supply chain.
A decade of deserialization vulnerabilities reveals a persistent attack surface spanning Java ecosystems to modern React and Next.js CVEs. This deep dive examines how these flaws evolve across tech stacks, practical hardening techniques to protect your applications, and how Recorded Future helps security teams stay ahead of emerging threats.