AI Disclosure Network™ stops data leakage at the prompt boundary. Our neural-cryptographic middleware secures every enterprise interaction with Large Language Models enforcing data sovereignty, blocking prompt injection, and generating compliance grade audit trails for DUAA 2025 and NHS DTAC.
As organisations across finance, law, and healthcare rush to adopt Generative AI, they face a systemic vulnerability: sensitive data is routinely exposed at the prompt boundary. Employees paste client records, trade secrets, and regulated data into uncontrolled AI interfaces creating catastrophic breach risk and regulatory non-compliance.
AI Disclosure Network™ was built to solve this exact problem. Our "Consent and Redaction Gateway" operates as a deterministic middleware layer between your enterprise and any LLM provider, mathematically enforcing Minimum Necessary Disclosure and protecting every interaction in real time.
Unlike passive monitoring tools, our platform provides structural governance — using neural-cryptographic fusion to make data leakage and prompt injection structurally impossible, not just statistically unlikely.
Abdul Nafay Mohammed Irfan is the innovator founder and lead architect of AI Disclosure Network. A Computer Science graduate (BSc Hons) from Anglia Ruskin University, Nafay brings a rare combination of machine learning engineering, adversarial AI testing, and compliance-first design philosophy to the AI security space.
His specialist projects including Person Re-Identification using HOG and Car Data Analysis with Apache Spark ML provided the architectural foundation for the platform's high speed entity detection and Exposure-Delta engines.
His CPD certification in Research and Professional Ethics ensures every element of the platform is built around Privacy-by-Design principles aligned with UK and EU regulatory requirements.
Contact the Founder →Every enterprise AI interaction passes through our gateway in real time. Sensitive data is intercepted, tokenised, and governed before it ever reaches the LLM provider then securely restored when needed.
Every prompt from your enterprise application is routed through the AI Disclosure Network™ gateway via a zero-code "droppable proxy" requiring no changes to existing workflows.
Our proprietary engine calculates the "Minimum Required Disclosure" for the task. Any data exceeding the threshold is dynamically masked or tokenised before reaching the AI provider.
Sensitive entities (PII, PHI, trade secrets) are replaced with reversible tokens stored in a secure local vault. The AI processes logical context without ever seeing raw sensitive values.
Every interaction is hash-chained on an immutable ledger for DUAA 2025 audit compliance. Original data is re-hydrated only via authorised Trust Paths with 100% fidelity.
The AI Disclosure Network framework is secured by five distinct neural-cryptographic innovations each a defensible layer in the world's first structural AI governance system.
The first system to mathematicalize "Minimum Necessary Disclosure" for LLM tasks.
Calculates the "Exposure Delta" the difference between total data shared and the minimum required for a task. Triggers dynamic masking automatically to ensure only essential context reaches the AI provider, satisfying GDPR data minimisation at the architectural level.
Sensitive entities replaced with reversible tokens data sovereignty guaranteed 100%.
PII, PHI, and trade secrets are replaced with reversible tokens stored in an encrypted local Redis vault. Re-hydration is only permitted via authorised Trust Paths governed by request origin, destination endpoint, user role, and operational purpose preserving full AI utility.
Purpose-built for autonomous AI agents blocks agentic exfiltration vectors.
As organisations deploy autonomous AI agents, our firewall evaluates the operational intent of tool calls (e.g., "Summarise for internal use" vs. "Export to public URL"). It neutralises agentic exfiltration vectors that generic DLP tools cannot detect essential for the agentic AI economy.
Deterministic prompt injection defence at the protocol level not filter-based.
System instructions and user data are physically separated into independent channels and bound by hash-based signatures. This structural approach prevents prompt injection and jailbreaking at the protocol level making bypass a structural impossibility, not just a statistical challenge.
Hash-chained event ledger providing Article 12-ready audit trails for regulators.
Every AI interaction is recorded on an immutable, hash-chained event ledger with digital signatures. The Audit Provenance Framework can reconstruct the exact operational context of any past interaction, providing the tamper-evident evidence required by DUAA 2025, NHS DTAC, and the EU AI Act.
Sensitive data never leaves your perimeter. Zero raw exposure to any cloud provider.
All sensitive processing and token vaulting occur within the organisation's secure perimeter on-premise. Only anonymised telemetry is synced to the governance console on Azure UK South. This local-first design is a non-negotiable requirement for NHS, legal, and financial sector clients.
An annual Professional Tier subscription represents less than 0.2% of the average £3.29M UK data breach cost delivering insurance-style risk mitigation for DPOs and CISOs.
For SMEs & Local Councils requiring core AI governance.
£199For law firms, financial institutions & NHS Trusts.
£499For large institutions requiring complete agentic oversight.
CustomWhether you are an NHS Trust, SRA-regulated law firm, FCA-regulated financial institution, UK public sector body, or technology partner we would like to hear from you. Contact us to arrange a demonstration, discuss pilot opportunities, or explore licensing and partnership options.