We've developed the Agents Rule of Two. When this framework is followed, the severity of security risks is deterministically reduced.
New prompt injection papers: Agents Rule of Two and The Attacker Moves Second
Two interesting new papers regarding LLM security and prompt injection came to my attention this weekend. Agents Rule of Two: A Practical Approach to AI Agent Security The first is …
OWASP GenAI Security Project Releases Top 10 Risks and Mitigations for Agentic AI Security
Culmination of over 100 industry leaders’ input and extensive published resources to deliver critical guidance to address Agentic AI Security risks WILMINGTON, Del. — Dec. 10, 2025 — The OWASP GenAI Security Project (genai.owasp.org), a leading global open-source and expert community dedicated to delivering practical guidance and tools for securing generative and agentic AI, […]
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 …
Microsoft offers devs a better way to control AI agent behavior | TechCrunch
The specification lets developer, compliance, and security teams define their own policies for agents to follow in portable policy files.
Agentic AI Governance: Securing Autonomous AI Agents in Enterprise
When AI agents start making decisions, calling tools, and coordinating with other agents without waiting for human approval, the governance playbook most...
Access Control in the Era of AI Agents
Learn about the history of AI agents, the risks they introduce and how to prevent them with a focus on fine-grained access control.
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.
When AI Agents Go Rogue: Agent Session Smuggling Attack in A2A Systems
Agent session smuggling is a novel technique where AI agent-to-agent communication is misused. We demonstrate two proof of concept examples.
Patterns and problems in multiagent systems
We ran experiments on swarms of Claude agents and found coordination failures, collusion, and sabotage. Here, we share what they mean for AI safety.
grith — Zero Trust for AI Agents
Security-first local AI agent platform with per-syscall interception and multi-filter scoring.
The argument against AI agents and unnecessary automation
Opinion: OpenAI's Operator a solution in search of a problem
Deterrence with Mutual Assured AI Malfunction (MAIM) — Chapter 4 of Superintelligence Strategy
Chapter 4: Deterrence with Mutual Assured AI Malfunction (MAIM). Rapid advances in AI are beginning to reshape national security. Destabilizing AI developments could rupture the balance of power and raise the odds of great-power conflict, while widespread proliferation of capable AI hackers and virologists would lower barriers for rogue actors to cause catastrophe.
Agentic Search for Dummies — Benjamin Anderson
A simple, effective baseline for building AI search agents.
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.
AI Agent Standards: Navigating New NIST Governance | Nemko Digital
NIST's new AI agent standards are here. Learn what they mean for AI governance, compliance, and liability. Get ahead of the new regulations.
How to Deploy AI Agents for Safety
