Academy
AI Security & Governance
Seven lessons on governing and securing AI adoption — from ownership structure to the specific technical risks AI systems introduce.
AI Governance: What It Means for a Growing Company
The ownership and oversight structure behind deliberate AI adoption.
Read the lesson →AI Risk Management: A Practical Starting Framework
Breaking AI risk into data, model, vendor, and regulatory categories.
Read the lesson →Responsible AI: Beyond the Buzzword
Fairness, transparency, accountability, and human oversight, concretely defined.
Read the lesson →AI Security: The New Attack Surface
Prompt injection, data poisoning, and model risks traditional AppSec misses.
Read the lesson →AI Detection & Identification: Knowing What You Actually Have
Why AI visibility has to come before AI governance.
Read the lesson →Shadow AI: The Tools Nobody Approved
Why employees adopt ungoverned AI tools, and how to bring them into view.
Read the lesson →AI Policy: Writing Rules People Will Actually Follow
What makes an AI acceptable-use policy usable instead of ignored.
Read the lesson →Have a question this didn’t answer?
30 minutes. No obligation. No sales pitch.