Audit-grade GenAI Infrastructurefor Regulated Finance.
ZeroH is a platform for running AI agents inside regulated workflows, designed to produce regulator-verifiable evidence of every action. Signed delegation chains, tamper-evident audit trails, knowledge controls, and human-in-the-loop checkpoints. All aligned to PRA SS1/23, EU AI Act, NIST AI RMF, ISO 42001, QCB, and CBUAE.




Every Primitive AI Risk Officers and CISOs Need
Built from first principles for regulated finance. Cryptographic provenance is the architecture, not a bolted-on feature.
Agent Workflow Orchestration
Run AI agents inside regulated workflows with full action capture. Every agent decision is cryptographically signed, sequenced, and anchored. Reconstruct any agent action months later with regulator-grade evidence.
Human Delegation Provenance
When a human delegates authority to an agent, ZeroH captures the delegation token. What authority, to which agent, for which task, under what policy. Sub-delegation is captured recursively. Aligned to emerging IETF Human Delegation Provenance research.
Knowledge Source Controls
Configure which knowledge sources each agent can access. Turn AAOIFI on or off, scope to your internal knowledge base, restrict web research per policy. Every access is logged. No black-box knowledge use.
Multi-Stakeholder Sign-Off
Route AI outputs through human-in-the-loop approval chains across Operations, Risk, Compliance, and Audit. Every sign-off is cryptographically captured. Critical for EU AI Act Article 14 human oversight obligations.
Tamper-Evident Audit Trails
Every compliance decision and agent action is designed to produce a tamper-evident, timestamped record. Independently verifiable, vendor-independent evidence. Your supervisor verifies without trusting our logs.
Selective Disclosure
Share proof to your regulator without exposing the underlying data. Your auditor sees financial terms, your DPA sees redaction evidence, your Shariah board sees only what they need. Designed to use cryptographic proof, not editorial redaction.
Why ZeroH Instead of LLM Security or Governance Dashboards
Verifiable Agent Action, Not Just LLM Defence
LLM security tools defend the prompt-response layer. Prompt injection, jailbreaks, model integrity. They do not capture what an agent did with the response, who authorised it, or whether the action was reversible. ZeroH adds the agent-action layer with cryptographic provenance.
Cryptographic Evidence, Not Governance Attestation
AI governance dashboards map controls to frameworks (EU AI Act, NIST, ISO 42001) and produce attestation views. ZeroH produces the runtime evidence those controls actually require. Signed, anchored, vendor-independent.
Regulated Finance Domain Depth
AAOIFI and IFSB coverage built in, Shariah Supervisory Board workflow templates, Murabaha/Ijarah/Musharakah/Mudaraba product structures, Fatwa certification from Amanie Advisors. Mapped to PRA SS1/23, EU AI Act high-risk, QCB AI guidance, CBUAE responsible AI principles.
First Proven in Islamic Finance. Designed for Every Regulated Industry
ZeroH is battle-tested inside the QFC Digital Assets Lab in Qatar, running a 128-obligation Mudaraba pilot in Bangladesh, and supporting Waqf governance with a development finance institution. Islamic finance is the proof. Regulated finance is the market.
Frequently Asked Questions
Audit-grade GenAI Infrastructure. In Production.
See how ZeroH delivers tamper-evident, third-party-verifiable evidence of agent action, human delegation, and policy compliance. Designed to support evidence requirements under PRA SS1/23, EU AI Act, NIST AI RMF, ISO 42001, QCB, and CBUAE.