Responsible AI

TL;DR AI brings speed, scale, and intelligence to Identity and Access Management (IAM). But real-world breaches, compliance rules, and business complexity prove a critical truth: without a human-in-the-loop (HiTL), automation introduces unacceptable risks. This guide covers how AI is transforming IAM, what can go wrong, real-world incidents, case studies, key compliance requirements (SOX, HIPAA, GDPR, NIST, and more), and a downloadable mapping document for your security program. 1. Introduction: The New Age of IAM Automation Identity and Access Management (IAM) is now at the crossroads of AI, automation, and Zero Trust....

Introduction In the first part of this series, we examined the mounting risks that come with using AI in financial documentation and identity workflows. From deepfake-enabled fraud to AI-generated receipts that are indistinguishable from real ones, it’s clear that relying too heavily on automation can undermine trust, integrity, and security. In this second post, we shift our focus to solutions. We’ll explore how to establish safeguards, maintain accountability, and implement the Zero Trust Human philosophy to ensure AI enhances rather than harms our digital ecosystems....