AI TRiSM evidence your supervisor will accept.
Blade Labs gives AI Risk Officers cryptographic, third-party-verifiable evidence of AI governance. Aligned to PRA SS1/23 model risk, EU AI Act high-risk obligations, NIST AI RMF, ISO 42001, QCB, and CBUAE AI guidance. Agent inventories, action audits, delegation provenance, and proof packs on demand.
Your supervisor wants evidence. Your tooling produces attestation.
PRA SS1/23 elevates AI to model risk. EU AI Act mandates logging for high-risk financial AI. NIST AI RMF demands trustworthy AI evidence. ISO 42001 requires a documented AI management system. Existing AI governance platforms produce dashboards and PDFs. Supervisors want signed, sequenced, tamper-evident proof.
3-10×
agents per model in production agentic stacks
Agent inventories that miss agents
Standard AI governance platforms inventory models. Typically the LLMs you have licensed. They miss the agentic systems built on those LLMs: the custom GPTs, the MCP servers, the internal tool-using agents. Your supervisor will count what your platform misses.
2026
PRA SS1/23 enforcement year for UK banks
Attestation is not validation
A dashboard saying "compliance: green" is attestation. A signed, tamper-evident audit trail is validation. SS1/23 specifically calls out the need to evidence AI explainability, data provenance, fairness, and accountability. At validation grade, not attestation grade.
0
major AI governance vendors offer signed delegation chains
Delegation chains nobody is tracking
When a human delegates to an agent, the agent delegates to a sub-agent, and the sub-agent calls a tool that touches customer data. Who authorised what? Identity security research (Okta, MITRE ATLAS, OWASP Agentic Top 10) flags this as the next frontier. Most governance tools have no answer.
The AI Risk Officer evidence stack
Cryptographic AI agent governance, signed delegation provenance, and regulator-grade proof packs aligned to global AI risk frameworks.
ZeroH
LiveVerifiable agentic AI security platform
ZeroH provides AI agent inventory, signed action auditability, human delegation provenance, and knowledge controls. The runtime primitives behind every AI risk framework. Every agent decision is signed and anchored to Hedera. Regulator-grade evidence on demand.
- ✓Cryptographically signed agent action audit trails
- ✓Human delegation provenance. Proof of who authorised what
- ✓Knowledge source controls and policy enforcement per agent
- ✓Multi-stakeholder approval chains with cryptographic sign-off
- ✓Designed to support evidence requirements under PRA SS1/23, EU AI Act high-risk, NIST AI RMF, ISO 42001
- ✓Hedera blockchain-anchored immutable evidence
ZeroH Disclosure
AlphaCryptographic non-disclosure proof for every AI prompt
ZeroH Disclosure intercepts every prompt before it reaches an AI, applies your disclosure policy, and produces tamper-evident evidence of what was redacted. Critical for EU AI Act high-risk system data governance and PRA SS1/23 data provenance obligations.
- ✓Field-level PII classification and redaction
- ✓Tamper-evident proof of what was masked, when, and under which rule
- ✓BBS+ selective disclosure for sharing proof without exposing data
- ✓On-premise data residency with Hedera anchoring
- ✓Bring-your-own-AI. Works with Copilot, Claude, ChatGPT, internal agents
Trust Center
LiveRegulator-grade evidence packs on demand
Generate evidence packs aligned to PRA SS1/23, EU AI Act, NIST AI RMF, ISO 42001, QCB AI guidance, and CBUAE responsible AI principles. Share with supervisors via cryptographic selective disclosure. They verify, you do not over-disclose.
- ✓Mapped against PRA SS1/23, EU AI Act, NIST AI RMF, ISO 42001
- ✓One-click proof pack export
- ✓BBS+ selective disclosure for role-based access
- ✓Self-service verification for supervisors and internal audit
From AI TRiSM dashboards to validation-grade evidence
Blade Labs delivers the runtime primitives that AI governance dashboards assume but do not provide.
Every agent, sub-agent, and tool in your AI estate
ZeroH inventories agents at the runtime layer. Not just licensed models. Custom GPTs, MCP servers, internal tool-using agents, sub-agent chains. With cryptographic identity for each, supporting non-human identity governance.
Signed, sequenced, tamper-evident agent action logs
Every agent action is cryptographically signed, sequenced, and anchored to Hedera. Supervisors can verify the chain independently. No trust in vendor logs required. This is the validation grade that SS1/23 and EU AI Act actually demand.
Signed proof of who authorised what
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.
Frequently Asked Questions
Evidence your supervisor will accept.
Schedule a demo to see how Blade Labs delivers validation-grade AI risk evidence aligned to PRA SS1/23, EU AI Act, NIST AI RMF, ISO 42001, QCB, and CBUAE.