AI agents now operate as workforce participants with credentials and autonomous capabilities, creating new risk categories: agentic risk, generative AI data loss, model misalignment, and identity entanglement from within, plus deepfake phishing attacks from external threat actors. AI-native Human Risk Management extends proven behavioral security principles to this hybrid workforce, enabling organizations to predict, guide, and act across both humans and AI agents with measurable impact.