PII Detection and Redaction for LLM Applications: Presidio, NER and Reversible Tokenization
PII redaction for LLM applications explained: detection with regex, NER and Presidio, reversible tokenization, latency budgets, recall trade-offs and a.
Differential Privacy for Machine Learning: DP-SGD, Privacy Budgets and What Epsilon Really Means
Differential privacy for machine learning explained: DP-SGD, gradient clipping, noise calibration, privacy accounting, epsilon budgets and the accuracy.
Confidential AI Inference: TEEs and GPU Confidential Computing (2026)
How confidential AI inference works: CPU and GPU trusted execution environments, attestation, H100/Blackwell confidential computing, and a reference architecture for regulated LLM workloads.