Offensive security for agentic infrastructure. The red team framework for AI agent infrastructure.

Drop one static collector on a compromised host. One active scan captures configs and raw credentials, discovers MCP, A2A and AI services, reuses compatible secrets, proves concrete access, and checkpoints the evidence before the foothold disappears. Ingest later for full graph analysis.

Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.

• AgentHound @ GitHub.

tmux config with built-in terminal automation and agent-to-agent communication.

Building a Secure and Interoperable Future for AI-Driven Payments.

• Agent Payments Protocol (AP2) @ GitHub.

Related contents:

• Google's new open protocol secures AI agent transactions - and 60 companies already support it @ ZDNET.

An open protocol enabling communication and interoperability between opaque agentic applications.

One of the biggest challenges in enterprise AI adoption is getting agents built on different frameworks and vendors to work together. That’s why we created an open Agent2Agent (A2A) protocol, a collaborative way to help agents across different ecosystems communicate with each other.

• Agent2Agent Protocol (A2A) @ GitHub.

Related contents:

• Announcing the Agent2Agent Protocol (A2A) @ Google for Developers.
• MCP vs. A2A: Friends or Foes? @ SwirlAI Newsletter.
• Google Agent2Agent Protocol Joins AAIF @ DevOps Digest.