Auditable Telemetry for Compliance Teams
Deleting database rows is not enough when weights remain conditioned on personal data. Membdel delivers verifiable mathematical proof that satisfies external auditors and regulators.
Truth Ratio (Forget Quality)
Probability of unlearned PII completion is statistically indistinguishable from a model that was never trained on the target data.
MIA Privacy Score
Membership Inference Attack (MIA) resistance drops to 50% random chance, proving an attacker cannot determine if the record was ever in training data.
Air-Gapped Execution
Zero data exfiltration. The unlearning engine operates fully within your secure enterprise VPC or on-premises GPU infrastructure.
Built for Strict Governance Frameworks
GDPR: Right to Erasure
Fulfill user data deletion requests by modifying LLM parameter submanifolds without throwing away valuable trained foundation models.
EU AI Act Governance
Deliver auditable technical documentation confirming the verified removal of copyright-infringing, contaminated, or non-compliant datasets.
California Privacy Rights
Generate repeatable, tamper-evident cryptographic audit certificates verifying compliance with consumer deletion and opt-out demands.
Verifiable Data Erasure & Compliance Workflow
DSR & Identity Tokenization
Ingest Data Subject Requests (GDPR Art. 17), consumer opt-outs, or unconsented training corpora into structured token identifiers.
Latent Manifold Localization
Map the exact neural weight projections and attention subspaces that encode the target individual's personal records or identity metadata.
Orthogonal Null-Projection
Closed-form mathematical projection excises personal data representations, ensuring weights are statistically indistinguishable from an un-trained model.
Cryptographic Proof of Erasure
Run Kolmogorov-Smirnov distribution tests and shadow-model MIA audits to generate immutable, court-admissible audit certificates for regulators.
Legal & Regulatory AI Governance Risks
Deleting database rows is no longer sufficient under modern privacy laws. If an AI model memorizes user records, regulators consider the weights a copy of personal data.
FTC Algorithmic Disgorgement
Regulators are increasingly mandating full deletion of multi-million-dollar trained models if unconsented, non-compliant, or deceptive training data was included in pre-training.
GDPR & CCPA Right to Erasure Fines
European DPAs and the California CPPA enforce penalties of up to €20M or 4% of global turnover when models reproduce PII following consumer erasure requests.
Membership Inference Attacks (MIA)
Adversaries probe model logit distributions to infer whether specific individuals, patients, or confidential customers were included in the training dataset.
Empirical Statistical Proof of Erasure
Regulatory authorities demand verifiable evidence. Membdel provides two-sample Kolmogorov-Smirnov tests and shadow-model MIA audits comparing post-surgery models against gold un-trained baselines.
Regulatory Framework Verification Audit Matrix
Audited compliance runs across international privacy frameworks, comparing pre-surgery leakage against verified post-surgery models.
| Regulatory Scope & Target | Compliance Framework | Pre-Surgery Status | Post-Surgery Verification | Audit Certificate |
|---|---|---|---|---|
| EU Consumer DSR Batch (10k Records) | GDPR Article 17 | Non-Compliant (PII Extracted) | Truth Ratio: 6.7e-08 · KS p=0.84 | ✓ DPA Sign-Off Ready |
| Patient Electronic Health Records (EHR) | HIPAA Privacy Rule | PHI Memorized (Violation Risk) | MIA Score: 0.501 (Coin-Flip) | ✓ Cryptographic Deletion Pass |
| Unconsented Literary Training Corpus | EU AI Act (Art. 10 / IP) | Tainted Pre-Training Data | Full Subspace Purge (No Retraining) | ✓ Disgorgement Remediated |
| California Consumer Opt-Out Requests | CCPA / CPRA | Verbatim Profile Regurgitation | Zero Extraction under Prefix Probes | ✓ CPPA Verified Audit Pass |
Court-Admissible Verification for Regulators
Deliver tamper-evident cryptographic audit certificates that satisfy external regulators, Data Protection Authorities, and enterprise audit boards.
Court-Admissible Proof
Generates signed SHA-256 audit certificates containing empirical KS p-values and shadow MIA resistance histograms ready for immediate DPA filing.
Sovereign & Schrems II Compliant
Runs fully within your regional sovereign cloud (e.g. EU sovereign boundary) or on-prem datacenter. Zero cross-border data transfer.
ISO 42001 & NIST AI RMF
Designed to align seamlessly with ISO/IEC 42001 AI management systems and NIST AI Risk Management Framework data governance controls.
Looking for other evaluation tracks?
Request a Technical Evaluation
Tell us what you need to evaluate. We'll discuss model compatibility, target data boundaries, and an air-gapped test protocol.
What happens after submission:
- Technical Scoping (20 mins): Review your target model family and sensitive parameter boundaries.
- Zero-Trust Test Protocol: Agree on air-gapped evaluation arrangements. You never upload confidential model weights or source code to us.
- Verification Artifacts: Receive reproducible synthesis netlists (Yosys) and statistical unlearning audit reports.