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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.
Design PII redaction across speech, retrieval, model inputs, actions, outputs and logs without destroying the context a real-time AI avatar needs.
Test how a real-time AI avatar degrades when speech, retrieval, models, GPUs, media and business APIs fail—before users discover the weakness.
Classify live avatar data by sensitivity and consequence, then enforce where capture, inference, retrieval, actions and logs may process it.
