#aisecurity

Compliance: Third-Party AI Vendor Risk Assessment: Building Audit Frameworks for AI-Embedded SaaS Solutions

Risk Management: CVE Triage Automation: Building Machine Learning Models to Prioritize Critical Zero-Day Patches Based on Real-World Exploi…

Complete guide to prompt injection attacks and prevention in 2026. Learn the latest attack vectors, real-world examples, and defense strategies for production A

What Changed Traditional penetration testing, while essential, is no longer sufficient for...

Code scanning now surfaces AI-powered security detections directly on pull requests, tagged next to CodeQL findings so reviewers can tell them apart. The alerts are informational and never block a merge, but they finally land where reviewers already look.

AI Security: Agentic AI Authentication Bypass: Implementing Zero-Trust Verification for Autonomous Agent Communications in Enterprise Netwo…

Detecting jailbreaks is a losing arms race. The real fix looks like prepared statements: separate the instruction channel from the data channel.

A critical SSRF flaw in LMDeploy's vision-language module was exploited just 12 hours after disclosure. Learn how it works and what to patch.

Two critical Hugging Face vulnerabilities — CVE-2026-0599 in Text Generation Inference and unauthenticated RCE in LeRobot — expose AI deployment pipelines. Patch now.

AI Security: Shadow AI Discovery and Inventory Management: Building Automated Detection Systems for Enterprise Security

An office manager at a construction firm outside Nashua called us in a mild panic in June. Her...

Large Language Models (LLMs) have rapidly evolved from simple chatbots into autonomous AI agents...