AI, cybersecurity & GRC. Architecting people-first AI, cybersecurity, and governance — for Fortune 500s and federal agencies.
📍 McLean, VA · 🔗 allenfbyrd.com · 💼 LinkedIn · 📧 allen@allenfbyrd.com · 📞 +1 (571) 293-1320 (public cell)
Open to new collaborators, team members, work, and business opportunities.
I build scalable solutions at the intersection of artificial intelligence, cybersecurity, and governance, risk & compliance — with an emphasis on clear ownership, operational pragmatism, and teams that take pride in doing the fundamentals well. Practicality is not the same as timidity: the AI products that hold up under audit, regulatory scrutiny, and adversarial use are the ones built with security and governance as operational practices, not mere policy exercises.
TL;DR: I like building cool things and tinkering with electronics. When I make money off of it, that's great, but I'll be doing it until I kick the bucket regardless. Come do it with me!
Polycentric-Labs/evidentia — Python · AI · GRC
Open-source, AI-enabled GRC engine. Cross-framework control gap analysis, AI-drafted risk statements grounded in your actual environment, and evidence collection + validation — all from a single lightweight Python tool. Framework-agnostic. No vendor lock-in. No consultant required. Multi-package monorepo with PyPI Trusted Publisher (OIDC), CycloneDX SBOM, and PEP 740 attestations on every release.
Polycentric-Labs/regrails — Python · policy-as-code · LLM guardrails
Policy-as-code for FERPA + Title IV: a deterministic guardrail that decides before any LLM speaks. Risk-tiered and citation-faithful, with an MCP server, OSCAL/SARIF exports, a GitHub Action, and a live web demo. The decision step is deterministic (no LLM in the loop) and every run is replayable without an API key — a concrete instance of the core ask in AI-in-the-loop compliance: codify institutional policy into machine-readable logic, keep it aligned with the regulation, and keep the audit honest.
Polycentric-Labs/labcoat — Polycentric Labcoat · multi-model research engine · MIT
A rigorous, net-new research-investigation engine (the polycentric-labcoat Claude Code skill). Fans a question across a live multi-vendor model fleet (Gemini · GPT · Grok · DeepSeek), then kills every finding it can't trace to a primary source, validates three ways, and returns a ruthlessly ranked synthesis — with a fail-closed redaction gate and a stop-and-ask gate at every phase. On its first real run it caught a four-model unanimous false denial of a real published standard. Ships with the sonar-router query-routing companion (MIT).
The fastest way to reach me is by email or my public cell (it's best to text it first, please). First reply within 48 hours, usually faster. For introductions and quick questions, a paragraph is plenty. I'm friendly and love meeting new folks, so don't be shy. Looking forward to chatting with you!
For background, current status, and résumé: allenfbyrd.com.