The latest industry news, interviews, technologies, and resources.
Define who owns data, models, security, changes, incidents and evidence when a real-time AI avatar spans several suppliers and deployment environments.
Govern every model and dependency in a real-time AI avatar with risk-based classification, validation, monitoring, change control and clear ownership.
Give each avatar service a distinct workload identity, short-lived credentials and least privilege across private, cloud and sovereign deployments.
Reconstruct which models, data, policies and GPU runtime an AI avatar used—without assuming identical generative output or retaining every conversation.
Design effective human oversight for AI avatars with clear roles, intervention deadlines, deterministic controls, safe states and auditable decisions.
Design presentation attack detection for AI avatars across cameras, microphones, sensor injection, identity, sessions and high-risk business actions.
