Curated articles and research on AI privacy, zero data retention, and the future of secure technology.
Explores AI's inevitable progress while emphasizing risks around misalignment and the need for transparent public dialogue.
Stanford reports a 56% surge in AI privacy incidents, with AI now the largest channel for corporate data exfiltration.
How ZDR models process prompts in volatile memory, turning privacy into an architectural default.
Major AI providers implement ZDR agreements ensuring customer data is never stored or used for training.
Analyzes legal challenges of AI training on public data and the differences between U.S. and European approaches.
Overview of AI privacy challenges and solutions like differential privacy, federated learning, and synthetic data.
82% of breaches involve cloud infrastructure—emphasizes adopting privacy by design from the start.
Stanford researchers recommend shifting from opt-out to opt-in data sharing as the default for AI systems.
Video discussion on AI privacy concerns, data protection strategies, and the importance of zero data retention.
Try ZDR Confirmed free—first 10 sessions on us.
Start Your Chat