AI-native platform adds enterprise SSO capabilities across 25+ identity providers to existing authentication infrastructure without migration. SAN FRANCISCO, CA, UNITED STATES, Ma ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Ransomware threat actors tracked as Velvet Tempest are using the ClickFix technique and legitimate Windows utilities to deploy the DonutLoader malware and the CastleRAT backdoor.

Distributed through over 100 GitHub repositories, the BoryptGrab stealer targets browser, wallet, system, and other user data ...

Learn how to secure Model Context Protocol (mcp) deployments with post-quantum cryptographic agility and granular resource governance to prevent quantum threats.

The module targets Claude Code, Claude Desktop, Cursor, Microsoft Visual Studio Code (VS Code) Continue, and Windsurf. It also harvests API keys for nine large language models (LLM) providers: ...

Nifty 50 has next support placed at 25,250. Trade Setup For Feb 23: Domestic equity benchmarks Sensex and Nifty 50 India's nded the previous session and the week on a higher note driven by gains in ...

We proved the NIST FIPS 203 post-quantum math in pure Python for auditability. But pure Python is vulnerable to microsecond timing attacks. We leave zero doors unlocked. In v2.0, we ripped the ...

Abstract: This paper presents a controlled, pedagogical demonstration showing how high-level programming conveniences can be used to build compact, fileless malware for classroom instruction in ...

Crypto Fear & Greed Index plunges to 9, signaling extreme fear. “Bitcoin going to zero” searches hit record highs. Analysts debate whether extreme fear signals buying opportunity. Crypto market ...

From threat modeling to encrypted collaboration apps, we’ve collected experts’ tips and tools for safely and effectively building a group—even while being targeted and tracked by the powerful. Rarely ...