An Introduction to Google’s Approach to AI Agent Security

Google maps the future of AI agents: Five lessons for businesses

Google's groundbreaking white paper reveals how AI agents leverage advanced reasoning, real-time data access and autonomous decision-making.

Google for Developers Blog - News about Web, Mobile, AI and Cloud

Explore how Google, Amazon, and Cisco form the Agent2Agent Foundation under the Linux Foundation to drive AI innovation via interoperability as an industry standard.

Google Agentspace enables the agent-driven enterprise | Google Cloud Blog

Google Agentspace introduces new expert AI agents, no-code Agent Assembler, access via Chrome Enterprise, and more.

Agents Rule of Two: A Practical Approach to AI Agent Security

We've developed the Agents Rule of Two. When this framework is followed, the severity of security risks is deterministically reduced.

Agents

Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “the study and design of rational agents.”

Agents

Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “the study and design of rational agents.”

The lethal trifecta for AI agents: private data, untrusted content, and external communication

If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …

The lethal trifecta for AI agents: private data, untrusted content, and external communication

If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …

Introducing the Agent Governance Toolkit: Open-source runtime security for AI agents | Microsoft Open Source Blog

Discover how the Microsoft Agent Governance Toolkit brings policy, identity, and reliability to autonomous AI agent systems.

Building the safety foundations for India’s agentic future

Last year, through Google’s Safety Charter for India’s AI-led transformation, we set out our commitment to building trust into India’s digital growth. We also showed how…

Agentic Search for Dummies — Benjamin Anderson

A simple, effective baseline for building AI search agents.

The argument against AI agents and unnecessary automation

Opinion: OpenAI's Operator a solution in search of a problem

The 2025 AI Agent Index Documenting Technical and Safety Features of Deployed Agentic AI Systems

Agentic AI systems are increasingly capable of performing professional and personal tasks with limited human involvement. However, tracking these developments is difficult because the AI agent ecosystem is complex, rapidly evolving, and inconsistently documented, posing obstacles to both researchers and policymakers. To address these challenges, this paper presents the 2025 AI Agent Index. The Index documents information regarding the origins, design, capabilities, ecosystem, and safety features of 30 state-of-the-art AI agents based on publicly available information and email correspondence with developers. In addition to documenting information about individual agents, the Index illuminates broader trends in the development of agents, their capabilities, and the level of transparency of developers. Notably, we find different transparency levels among agent developers and observe that most developers share little information about safety, evaluations, and societal impacts. The 2025 AI Agent Index is available online at https://aiagentindex.mit.edu.

Top AI Security Incidents of 2025 Revealed | Adversa AI

Discover how AI systems are being hacked in the wild — from prompt injection to agent abuse — with real breaches, lessons, and defenses in Adversa AI’s 2025 report.