Evidence what your AI never saw. Not just what it did.
ZeroH gives DPOs cryptographic, third-party-verifiable evidence designed to show that personal data was redacted before it reaches an AI model. Aligned to GDPR, EU AI Act, QCB, CBUAE, and PRA SS1/23 obligations. Bring-your-own-AI. No vendor lock-in.
AI vendors promise privacy. Regulators want proof.
GDPR Article 5 requires data minimisation. EU AI Act Article 12 requires logging of high-risk AI processing. QCB and CBUAE AI guidance require evidence of data governance. Mainstream AI vendors give you a privacy policy, not cryptographic evidence.
0
mainstream AI vendors produce cryptographic redaction proof
No proof of what AI actually saw
When staff send a prompt to ChatGPT or Copilot, you have a vendor assurance that data is not used for training. You do not have cryptographic evidence of which fields reached the model, which were masked, and under what policy. Audit logs are vendor-asserted.
64%
of EU enterprises flag AI as a privacy compliance gap
DPIAs are documentation, not enforcement
You can write a Data Protection Impact Assessment that says "PII is redacted before AI processing." Evidencing it is another matter. Most enforcement happens in code your DPO cannot inspect. The gap between policy and runtime is your exposure.
5+
data residency regimes to satisfy simultaneously
Cross-border data residency is fragile
GDPR adequacy decisions, Schrems II, and Gulf data localisation rules demand evidence that personal data does not leave authorised jurisdictions. Mainstream AI inference is often offshore. Proving compliance is harder than achieving it.
The DPO-grade evidence stack
Cryptographic non-disclosure proof, regulator-grade evidence packs, and selective disclosure for sharing only what each stakeholder needs.
ZeroH Disclosure
AlphaCryptographic non-disclosure evidence for every AI prompt
Intercepts every prompt before it reaches an AI, applies your data-disclosure policy at field level, and produces tamper-evident evidence of what was redacted, when, under which rule, and what the AI never saw.
- ✓Field-level PII classification and redaction before any prompt reaches an AI
- ✓Tamper-evident evidence of what was masked, when, and under which rule
- ✓Selective disclosure with cryptographic proof (in development). Designed to share proof without exposing data
- ✓On-premise data residency with tamper-evident anchoring
- ✓DPIA-ready audit trail aligned to GDPR Article 35
- ✓Bring-your-own-AI. Works with Copilot, Claude, ChatGPT, internal agents
Trust Center
LiveShare privacy evidence without exposing data
Public-facing portal where regulators, auditors, and data subjects verify your data protection posture cryptographically. Selective disclosure with cryptographic proof (in development) is designed to mean each stakeholder sees exactly what they need. No over-exposure.
- ✓Cryptographic credential verification without raw data exposure
- ✓Selective disclosure with cryptographic proof (in development) for role-based access
- ✓Self-service verification for DPAs, auditors, and counterparties
- ✓Tamper-evident provenance
ZeroH Platform
LiveAgentic AI security platform with full provenance
For organisations that run AI agents in regulated workflows, ZeroH delivers full agent action auditability, human delegation provenance, and knowledge controls. Every agent decision is designed to be signed and tamper-evidently recorded.
- ✓Agent workflow orchestration with full action auditability
- ✓Human delegation provenance. Evidence of who authorised what
- ✓Knowledge source controls per policy
- ✓Tamper-evident immutable audit trails
From DPIA documentation to runtime cryptographic evidence
ZeroH closes the gap between what your DPIA says and what your AI actually does. With proof that holds up to a regulator audit.
Cryptographic evidence of what your AI never saw
Most audit logs prove what happened. ZeroH Disclosure is designed to evidence what did not happen. That a specific PII field was redacted before the prompt reached the model, under a specific policy, at a specific time. Selective disclosure with cryptographic proof is designed to let you evidence the negative without exposing the underlying data.
On-soil anchoring for Gulf and EU data residency rules
Originals stay on infrastructure under your control. Cryptographic anchors are written to tamper-evident infrastructure with on-soil residency in supported jurisdictions. Evidence your data did not leave authorised jurisdictions, in a form your DPA can verify independently.
Your DPIA becomes runtime policy, not just documentation
Disclosure policies in ZeroH are machine-executable. The policy your DPIA describes is the same policy that runs in front of every AI prompt. When the auditor asks "show me the policy enforcement", you show them the signed runtime. Not a Word document.
Frequently Asked Questions
Explore by Role
See how ZeroH serves different roles in your organisation.
CISOs
ZeroH gives CISOs at regulated banks, insurers, and asset managers a verifiable safety layer for the AI tools their staf
AI Risk Officers
ZeroH gives AI Risk Officers cryptographic, third-party-verifiable evidence of AI governance. Aligned to PRA SS1/23 mode
Compliance Officers
ZeroH automates compliance tracking, surfaces regulatory changes before they become gaps, and generates audit-ready evid
Shariah Boards
ZeroH maintains a living record of every fatwa, approval condition, and parameter boundary. Your board focuses on schola
CFOs and Finance Leaders
Self-service deployment in weeks, not months. No consultants required. Verifiable evidence that satisfies regulators and
Risk Managers
ZeroH maps Shariah non-compliance risk alongside your operational, regulatory, and reputational risk frameworks. One pla
Auditors
Continuous Shariah compliance monitoring that flags product drift the moment it occurs, generates audit-ready evidence t
Digital Bank Formation
ZeroH is validated inside the Qatar Financial Centre Digital Assets Lab for verifiable Shariah-compliance audit trails i
Explore by Region
See how ZeroH operates in key Islamic finance markets.
Saudi Arabia
SAMA's Shariah Governance Framework requires independent Shariah boards, documented compliance processes, and structured
United Arab Emirates
CBUAE, ADGM, and DIFC each operate distinct regulatory frameworks for Islamic finance and digital assets. ZeroH maintain
Qatar
ZeroH is validated inside the Qatar Financial Centre Digital Assets Lab — Qatar's international financial hub. QCB's AI
Bahrain
The Central Bank of Bahrain's Rulebook Volume 2 sets some of the most detailed Shariah governance requirements globally.
Kuwait
Kuwait's Islamic banking sector manages over $140B in assets under CBK Shariah governance instructions and AAOIFI standa
Malaysia
BNM's Shariah Governance Policy Document, the Securities Commission's Capital Markets Plan 2026-2030, and PDPA create ov
Indonesia
OJK Shariah governance regulations, DSN-MUI fatwa requirements, and Bank Indonesia oversight create layered compliance o
Bangladesh
With $47B in Islamic banking assets, 10 full-fledged Islamic banks, and over 50 Islamic banking windows, Bangladesh carr
Pakistan
With $50B+ in Islamic banking assets, five full-fledged Islamic banks, and an SBP-mandated Shariah governance framework,
United Kingdom
With $100B+ in Islamic finance assets, five dedicated Islamic banks, and an FCA regulatory framework that demands docume
Evidence your DPA will accept.
Schedule a demo to see how ZeroH delivers regulator-verifiable evidence of AI non-disclosure aligned to GDPR, EU AI Act, and Gulf data protection regimes.