AI Security & Governance
Addresses the critical aspects of securing AI systems and data, including cloud and application security, DevSecOps, and establishing ethical guidelines and compliance frameworks for AI development and deployment.
Viral Moments
10
Red, Green, Blue
Automated remediation
AI guarding your data
Limit agent blast radius
Real-time defense
AI for defense
Secure agent identity
Guardrails, not handcuffs
Build, scale, govern AI
The contentious topic
Key Quotes
3
โYou had binaries before, now you have skills. As dangerous or more.โ
โAI unlocks scale and context unlocks that trust and confidence in what you're seeing. So this is a long-winded answer, Ankur. You asked is this just shift left? I prefer to think of it as shifting down.โ
โI've done like 180. Like, I've I've changed my thinking dramatically, and I cannot see myself ever going back.โ
Chapters
21
Articles
3
Google Cloud has introduced the Gemini Enterprise Agent Platform, a comprehensive solution designed to empower both developers and business users to build, secure, and share AI agents with unprecedented ease and control.
At Google Cloud Next, Wiz and Google Cloud introduced a transformative approach to AI security, moving beyond traditional "shift left" paradigms to empower developers with integrated, AI-driven protection.
The landscape of software development is undergoing a seismic shift as AI agents move beyond experimental prototypes into core business operations. This 'agentic era' promises unprecedented productivity, but also introduces complex challenges in governance, compliance, and developer adoption.
