Tradecraft, career advice and research notes written by the same red team that teaches our courses. No fluff, no recycled news.
AI Governance
A practical guide to AI governance training for compliance and risk professionals — what to learn, which frameworks matter, and how to build the skills needed to govern AI responsibly.
AI Governance
AI governance and AI compliance are related but distinct. Governance is the internal system for managing AI decisions and risks; compliance is demonstrating that system meets external requirements.
AI Governance
A practical guide to the NIST AI Risk Management Framework (AI RMF 1.0) — what its four core functions mean, how they work together, and how to start using them in your organization.
AI Governance
A step-by-step guide to building an AI risk register — from inventorying AI systems through assessing, documenting, and managing AI risks in a format that satisfies governance and audit requirements.
AI Governance
AI governance is the set of policies, frameworks, and accountability structures that guide how an organization develops, deploys, and oversees artificial intelligence systems responsibly.
AWS Security
Cloud security vs cloud penetration testing on AWS: how defensive hardening differs from offensive testing, what AWS permits without prior approval, and what still needs authorization.
AWS Security
The AWS IAM security best practices beginners should apply first: enforce MFA, use temporary credentials and roles over long-term keys, apply least privilege, and lock down the root user, straight from AWS guidance.
AWS Security
What AWS security training looks like for working cybersecurity professionals: the skills that transfer, the skills that are cloud-specific, how official AWS training fits, and where the Security Specialty certification lands.
AWS Security
A preparation guide for the current AWS Certified Security – Specialty (SCS-C03) exam: the format, the six domains and their weightings, the passing score, and a study plan that matches how the exam tests you.