ECHOS
Adversarial security research against self-hosted MCP servers and the agent infrastructure around them. Real vulnerabilities, disclosed responsibly. No targets named before disclosure.
About ECHOS→Independent offensive security research: AI agent systems, MCP infrastructure, and the memory they trust. The work happens in public. Findings are the product.
Adversarial security research against self-hosted MCP servers and the agent infrastructure around them. Real vulnerabilities, disclosed responsibly. No targets named before disclosure.
About ECHOS→A Rust and WASM sandbox for detonating and constraining untrusted MCP tool calls: an eight-crate policy → capability → sandbox → audit pipeline, MIT, denied by default. Built and open source; cited here as past work, not an active program.
About AEGIS→A reproducible benchmark for how AI memory systems handle facts that change, including facts an attacker changes. Built, then archived before the runs went public. No results were published, and none are claimed.
github.com/botzrDev→What happens to an AI system's stored beliefs when the facts underneath them change, or are made stale on purpose: what the field has measured so far, and what remains untested.
Read the primer→Austin Green. Independent researcher and systems engineer in Oklahoma. 25 years of systems judgment, applied in public. The work speaks; the person is secondary.