Forg3t Protocol

Provable AI unlearning for privacy and compliance

3 followers

Provable AI unlearning for privacy and compliance

3 followers

Forg3t Protocol enables verifiable AI unlearning. Instead of claiming data deletion, it produces cryptographic proof that specific information has been removed from AI models. Built for GDPR, CCPA, and EU AI Act compliance, Forg3t combines selective unlearning, zero knowledge proofs, and a decentralized validator network to generate audit ready evidence regulators can trust.

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Launch tags:Privacy•Developer Tools•Artificial Intelligence

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We built Forg3t after realizing something uncomfortable: AI systems are great at remembering, but terrible at proving they forgot something. Today, most “deletion” workflows rely on internal claims, retraining promises, or policy statements. That is not enough when regulators, courts, or users ask for evidence. Forg3t treats unlearning as something that must be proven at the behavior level. We run targeted unlearning, verify suppression with adversarial prompts, and generate cryptographic proofs that can be independently validated. This launch is our first step toward making AI forgetting auditable, not trust based. We would love feedback from people building AI systems under real regulatory pressure.

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7mo ago

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