00 / RED TEAM
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→First advisories Q4 2026
Offensive Security · AI AgentsEst. 2023 · Oklahoma US
botzrresearch.
Independent offensive security research: AI agent systems, MCP infrastructure, and the memory they trust. The work happens in public. Findings are the product.
01 / TOOLING
AEGIS
A Rust and WASM sandbox for detonating and constraining untrusted MCP tool calls. The harness the red team work runs inside.
About AEGIS→In development
02 / BENCHMARK
dreamd
A reproducible benchmark for how AI memory systems handle facts that change, including facts an attacker changes. dreamd is one row in the table, not the headline.
dreamd.dev→Public August 2026
03 / PRIMER
Memory as attack surface
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→Background
04 / PRINCIPAL
Uveddi
Austin Green. Independent researcher and systems engineer in Oklahoma. 25 years of systems judgment, applied in public. The work speaks; the person is secondary.
Oklahoma, US