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.

Enterprises are struggling to scale agentic AI. Here’s what’s holding them back and what it takes to move from pilots to production. The post Agentic AI: Scaling from pilots to production appeared ...

A prompt injection attack hit Claude Code, Gemini CLI, and Copilot simultaneously. Here's what all three system cards reveal ...

Researchers say a prompt injection bug in Google's Antigravity AI coding tool could have let attackers run commands, despite ...

Nonprofit security organization Shadowserver found that over 6,400 Apache ActiveMQ servers exposed online are vulnerable to ...

Antigravity Strict Mode bypass disclosed Jan 7, 2026, patched Feb 28, enables arbitrary code execution via fd -X flag.

The prompt injection issue in the agentic AI product for filesystem operations was a sanitization issue that allowed for ...

A prompt injection flaw in Google’s Antigravity IDE turns a file search tool into a remote code execution vector, bypassing ...

Now that an attacker can use an LLM to weaponize a bug the minute it's found, taking 12 days to patch ‘is essentially a ...

A researcher analyzed internet-facing Perforce P4 servers and found that many are still misconfigured, exposing highly ...