Is Your AI Strategy Missing a 'Safety Net'?: Establishing Trust Infrastructure for Agent Risk
What happened
Rubrik's upcoming webinar highlights the critical need for a "Trust Infrastructure" to manage AI agent risk, as traditional governance struggles to keep pace with autonomous agents' speed and adaptability. This new approach is essential to address algorithmic vulnerabilities and the growing concern of "Agent Sprawl".
Why it matters
CTOs and VPs of Engineering deploying AI agents must prioritize establishing a "Trust Infrastructure" to manage agent risk effectively, as 20th-century static governance rules are insufficient against algorithmic vulnerabilities and the rapid evolution of self-modifying agents.
Topics
- AI Agent Deployment
- Algorithmic Vulnerabilities
- Trustworthy AI
- AI Security Architecture
Articles in this trend
- Is your AI strategy missing a "Safety Net"?🛡️ — Turing Post
- Layered Mutability: Continuity and Governance in Persistent Self-Modifying Agents — Takara TLDR - Daily AI Papers
- Dario Amodei, hype, AI safety, and the explosion of vibe-coded AI disasters — Marcus on AI
- Why AI Systems Struggle With Truth, Trust, and Reliability — Artificial Intelligence on Medium
- When Correct Systems Produce the Wrong Outcomes — AI & ML – Radar
- Dispatches from O'Reilly: Fast paths and slow paths — Stack Overflow Blog
- Building an AI Agent That Distrusts Itself: Starting With the Jail, Not the Brain — AI Advances - Medium
- Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale — Microsoft Research