CrowdStrike unveils a sweeping AI security suite at Fal.con in Las Vegas, introducing an Agentic Identity Provider that enforces cryptographic identities for AI agents, an Agentic SOC that slashes investigation times from hours to minutes, and Real-Time Supply Chain Attack Protection that blocks malicious open-source packages before they can compromise …
HiddenLayer secures $100M in Series B funding led by Delta-v Capital to expand its AI protection platform globally, as the AI security market surges to $2.83 billion amid growing threats like adversarial attacks and prompt injection targeting AI models and workflows.
As AI creation costs plummet toward zero, Dataiku CEO Florian Douetteau warns that governing and managing AI agents over time — not just building them — is now the true competitive battleground for enterprises.
Anthropic launches 'commerce-agents,' an open-source GitHub blueprint enabling developers to rapidly build AI-powered shopping and merchant tools using Claude, with support for retail, travel, telecom, and entertainment verticals across AWS, GCP, and Microsoft cloud platforms.
A new open-source project called 'LAST FRAME' transforms real-time AI video generation into a playable branching game, where every choice triggers a live-rendered video clip and an AI Adjudicator analyzes each final frame to determine health changes, item pickups, and survival outcomes.
Google launches Gemini 3.8 Flash, a smarter and cost-efficient AI model, alongside a restricted cybersecurity variant capable of autonomous vulnerability discovery and automated patching, available exclusively to trusted government and critical infrastructure defenders through its new Fairwind Program.
Anthropic is back in the Trump administration's good graces, with Commerce Secretary Howard Lutnick declaring the AI company is 'back on the right side' as co-founder Tom Brown takes a leading role in mending White House relations, even as Anthropic continues fighting a separate Pentagon designation in federal court.
Meta, Google, and OpenAI are locked in a fierce AI arms race with powerful new model launches, but OpenAI's upcoming 'Astra' model is raising urgent safety alarms as its looping reasoning technique produces unreadable math-only outputs, threatening the industry's ability to monitor AI behavior.
LLM inference engineering is reshaping AI performance by splitting techniques into two categories: tradeoff managers like batch sizing and quantization that balance latency against throughput, and frontier-pushers like speculative decoding and kernel optimization that deliver compounding, systemwide efficiency gains applicable to both speed and scale simultaneously.
OpenAI's upcoming Astra model makes history as the first AI to cross a 'Critical' cybersecurity threshold, autonomously finding and exploiting unknown security flaws — and OpenAI still plans to release it soon, with restricted access granted only to select organizations in its Daybreak cybersecurity coalition.