#data privacy

'CFOs are paying premium fees to work with AI-enabled auditors, drawn by speed and insight but cautious about cybersecurity and opaque models.'

'UPMC and Penguin Ai are collaborating to build healthcare AI models on the Ahavi platform, targeting faster model development and three initial applications: Patient 360, Enhanced Prior Authorization, and gap detection.'

'Three prominent authors offer competing blueprints to fix the internet: dismantle extractive platforms, regulate for transparency and safety, or return control to users with decentralized data pods'

AI voice cloning tools let people hear lost loved ones again through recreated voices and avatars, offering comfort while raising ethical, legal and mental health concerns

Explore Microsoft Presidio’s capabilities for detecting and anonymizing PII in text with practical Python examples, including custom recognizers and hash-based anonymization.

AI girlfriend chatbots provide personalized emotional support and companionship but also pose risks like emotional dependency and privacy concerns. Balancing AI interaction with real relationships is key.

This guide explains how to use the Synthetic Data Vault (SDV) library to create realistic synthetic tabular data, covering installation, metadata preparation, data generation, and quality evaluation.

Private AI is redefining enterprise AI by bringing compute to data, enabling secure, compliant, and efficient AI workloads that fuel innovation across industries.

AI tools are revolutionizing productivity but raise significant data privacy concerns. Discover how to protect your data while leveraging AI benefits.

Data privacy in 2025 demands a proactive, privacy-first approach as new laws and AI challenges reshape compliance. Businesses must embed transparency and robust practices to build trust and remain competitive.