Patent Pending • BPO filed 30.03.2026 • EPO / UKIPO / PCT in preparation
Verifiable Adherence to Formalized Rules Without Disclosure
The ZKAP methodology enables regulators to verify that AI systems adhere to formalized rules — whether derived from law (AI Act), regulation (GDPR), technical standards (ISO/IEC), ethics codes, or internal policies — without accessing proprietary models, trade secrets, or personal data.
Resolving the structural conflict between AI Act transparency, GDPR data protection, and trade secret law through cryptographic proof.
IPC: G06F 21/64 • G06N 20/00 • H04L 9/32
Radoslav Y. Radoslavov
Lead Methodologist in Legal Engineering • EU AI Attorney
[4] Radoslavov, R.Y. & Genov, M. (2026). The Collapse of Transparency: Cryptographic Regulation of AI in the Era of Opaque Algorithms. Book. Comparative analysis of EU, US, and Chinese regulatory models. 11 practical scenarios.
[7] Radoslavov, R.Y. (2026). “ZKAP — Public Information Hub.” GitHub repository, 22 April 2026. Includes README, publication list, citation metadata (CITATION.cff). 🔗 github.com/radoslavov-zkap/zkap-public
[8] Radoslavov, R.Y. (2026). Google Scholar author profile. Verified email at radoslavov.bg. Research areas: Zero-Knowledge Proofs, AI Regulation, EU AI Act, Cryptographic Compliance, Legal Engineering. 🔗 scholar.google.com/citations?user=S2-iyH4AAAAJ
[6] Radoslavov, R.Y. (2026). “ZKAP: An Enforcement Protocol for Verifiable Regulatory Compliance of Machine-Learning Inference via Certified Stack Binding.” Zenodo preprint (embargoed until 31 March 2027; metadata public, full text released after embargo), 22 April 2026. 🔗 DOI 10.5281/zenodo.19698949
[5] Radoslavov, R.Y. (2026). “After Mythos: Why Frontier AI Conformity Assessment Requires a Cryptographic Layer.” EU AI Alliance — European Commission Futurium, 18 April 2026. Read on Futurium
[3] Radoslavov, R.Y. (2026). “ZKAP: Solving the Cognitive Barrier in AI Act & NIS2 Oversight.” EU AI Alliance — European Commission Futurium, 2 April 2026. Read on Futurium
[2] Radoslavov, R.Y. (2026). “Management and Regulation of AI Models in Public Administration: Cryptographic Transparency and Digitalization of Legal Norms.” Artificial Intelligence Proceedings, ISSN 3033-2923 (Print) / 3134-1667 (Online). Presented at XI Intl. Sci. Conf. “High Technologies. Business. Society”, Borovets, 23–26 March 2026, p. 75. 📄 Proceedings PDF | 🔗 DOI 10.5281/zenodo.19509511 | ResearchGate
[1] Radoslavov, R.Y. (2025). “Management and Regulation of Artificial Intelligence Models: Concept for Transparency and Accountability in Administrative Activities.” Industry 4.0, Winter Session, Vol. 2, pp. 320–321, ISSN 2534-997X (Online) / 2535-0161 (Print). 🔗 DOI 10.5281/zenodo.19614243 | ResearchGate
Strategic Enquiries
Maximilian Genov
Head of Strategic Enquiries