SMB + AI Threat Feed
A daily threat-intelligence briefing for small businesses running AI tools — plain language, EPSS-prioritized, and built to turn signal into action.
View on GitHubOperational AI · Automation · Evaluation · Training
I design, build, and evaluate the systems that make AI work in real operations.
From first workflow to governed operation — automation that holds up, evaluation that proves it, and training that builds judgment. Proof over hype, review over shortcuts.
About
I scale judgment, not just information.
I design, build, and evaluate the systems that make AI work in real operations — the workflows, automation, review gates, and training that turn a promising tool into dependable work.
My background is in law enforcement and digital forensics, where good decisions mattered as much as technical skill. That experience shapes how I approach AI: not as a novelty, but as a system with review gates, attack surfaces, and consequences. I've trained thousands of professionals across forensics, incident response, cybersecurity, and OSINT — and along the way authored research, disclosed vulnerabilities, and helped protect senior executives from online attacks.
I'm based in Boise and active in the Treasure Valley cyber community — mentoring, volunteering, and hosting local meetups.
How I help
Four lanes, one standard.
- Operational design
- Mapping workflows, finding where work stalls, and deciding what deserves automation — before a single tool is chosen.
- Automation building
- Designing and building the workflows, agents, and systems that turn AI capability into dependable daily work.
- Evaluation & governance
- Measuring what actually works, review gates, and evidence trails — so AI earns trust instead of assuming it.
- Training & enablement
- Building real judgment in teams — what to use, when to trust it, and where human review belongs.
Live threat briefing
Today's patch list.
Every day, a plain-language briefing on what to patch, why it matters to a small business running AI tools, and what to do Monday. Compiled from public sources, every finding linked.
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