A new prompt injection flaw in Google Gemini allowed attackers to steal private data via malicious Calendar invites. Learn how this "semantic attack" bypassed security controls and what it means for AI agent security.
A new prompt injection flaw in Google Gemini allowed attackers to steal private data via malicious Calendar invites. Learn how this "semantic attack" bypassed security controls and what it means for AI agent security.
Stop leaking your code to the cloud. Learn how to build a private, secure AI coding assistant using OpenCode and Docker Model Runner. Full tutorial with code samples for local RAG and secure model serving.
Is your SOC truly AI-driven? Explore the 5 levels of the AI Maturity Model for Cybersecurity, from manual operations to autonomous defense, and chart your path to resilience.
Securing the Model Context Protocol (MCP) is critical for AI agent safety. Learn the best practices for authentication, from preventing Confused Deputy attacks to implementing OAuth 2.0 and avoiding token passthrough.
Part 3 of the SAIF series. A deep dive into a reference architecture for a production-grade AI platform on Google Cloud, mapping controls to real-world defenses.
Start your AI project securely with this definitive 'Day 0' checklist based on Google's Secure AI Framework (SAIF). Covers identity, data, network, and model controls for creators and consumers.