News of data breaches is nothing new in 2026, and we’ve seen dozens just since the start of the year. A lot of this comes ...

TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

Agentic AI tools present the possibility of substantial efficiency gains for legal teams, but the risks they pose require ...

Learn how protecting software reduces breaches, downtime, and data exposure. Includes common threats like injection, XSS, and ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

The moment AI agents started booking meetings, executing code, and browsing the web on your behalf, the cybersecurity conversation shifted. Not slowly, but instead overnight.What used to be a ...

Monday cybersecurity recap on evolving threats, trusted tool abuse, stealthy in-memory attacks, and shifting access patterns.

Claude beat ChatGPT in our reader poll, revealing how coding strength, workflow fit, and values are reshaping AI loyalty ...

Harness field CTO reveals 46% of AI-generated code contains vulnerabilities. Learn how to secure your SDLC with multi-layered defenses at KubeCon.