As autonomous agents execute business processes in real time, the distance between a decision and its consequences shrinks, ...

Microsoft Threat Intelligence observed a human-operated intrusion campaign that abuses Microsoft Teams external collaboration to impersonate IT support, gain remote access, and deploy a Node.js-based ...

As AI moves into customer-owned environments, organizations need new ways to verify the systems, software, and AI assets they ...

Agentic RAG lets an AI system plan, reformulate, and iterate over retrieval rather than making one fixed search before generation. This guide explains the mechanism, trade-offs, evaluation, and ...

Agents can already discover assets, enumerate services, and map an attack surface with little human input.

Researchers warn that trusted AI agents can act as proxies for privileged accounts when user permissions are not enforced ...

A training, validation, and test split separates data used to fit parameters, choose models or settings, and estimate final ...

AI observability helps teams track model drift, output quality and infrastructure changes, but integration gaps still limit ...

AI security protects the systems, data, models, prompts, APIs, identities, and infrastructure used to build and run AI ...

Turn any phone, tablet, or computer into an AI workstation - the AI does the work on its own hardware and never touches the data on your main device.

Your newest privileged identity may not be human.With agent adoption far ahead of non-human identity strategy, security teams ...

Over the past few years, browsers have continuously evolved. Originally, they were purely display tools for HTML and media. With JavaScript, WebAssembly, WebGL, and WebGPU, they have become ...