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AI

RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation

Training a single LLM agent jointly across diverse interactive environments has attracted increasing attention as a route to generalist agents. Existing curriculum and data-selection strategies often allocate training at the environment level or prioritize local reward-based signals, without explicitly considering relationships between current rollouts across environments for prompt-group selection. Meanwhile, as environments are learned at…

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Technology

100+ Compromised Websites Use Fake Cloudflare Checks to Deliver LunexStealer

The Computer Emergency Response Team of Ukraine (CERT-UA) has identified more than 100 compromised websites that have been injected with malicious JavaScript to serve an information-stealing malware called LunexStealer (aka Psychedelic Stealer). The activity, which was observed by the agency in September 2026, has been attributed to a threat cluster dubbed UAC-0277. It did not…

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Apps

Anthropic Expands Claude Access for Vetted Cyber Teams as Glasswing Finds 129,000 Flaws

Anthropic on Tuesday said it’s expanding a program that allows vetted cybersecurity professionals to test its advanced artificial intelligence (AI) models with reduced safeguards and blocking classifiers, as the company claimed its Project Glasswing initiative uncovered at least 129,000 verified software vulnerabilities between April and July 2026. The company said it also found an additional

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Cyber Security

What Is Agentic Pentesting? What It Proves, and Where It Stops.

If you’re evaluating an agentic pentesting solution right now, you’ve probably heard the same pitch more than once: point it at a target, and it discovers, validates, and exploits attack paths autonomously, the way a real attacker would. That promise is worth taking seriously. It’s also worth pressure testing, and three questions do the heavy…

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