A new framework from Google AI Research provides a systematic method for auditing machine unlearning. It verifies if specific data was actually removed from a model's weights. This solves a critical verification gap in privacy compliance. Practitioners can now quantify unlearning success rather than relying on black-box assumptions during data deletion.