The Control Plane for Institutional AI

AI solved
intelligence.
Execution requires trust.

Blockdaemon AI provides the policy enforcement, agent identity, MPC-secured execution, and cryptographic attestation required for AI agents to operate within regulated financial environments.

Book a Technical Briefing Explore the Architecture
Intelligence Layer
AI Models
Agents
Orchestration
Decision Engines
Blockdaemon Control Plane
Policy
Guardrails
Risk Controls
Authorise
Approve
Deny
Escalate
Verify
MPC Controls
Crypto Proof
Comply
Auditability
Reporting
Evaluate → Authorise → Enforce
Capital Layer
Banking Systems
Payments
Markets
Custody
Settlement
400+ Institutional customers
$110B+ Digital assets supported
8 years Institutional infrastructure
Intelligence Layer
AI Models
Agents
Orchestration
Decision Engines
Blockdaemon Control Plane
Policy
Guardrails
Risk Controls
Authorise
Approve
Deny
Escalate
Verify
MPC Controls
Crypto Proof
Comply
Auditability
Reporting
Evaluate → Authorise → Enforce
Capital Layer
Banking Systems
Payments
Markets
Custody
Settlement
Trusted by
BNY Circle Citi DTCC Fidelity Investments Goldman Sachs JPMorgan Microsoft PayPal Plaid
The Challenge

Frontier models provide
reasoning capability.

Regulated deployment requires execution infrastructure. As agentic AI moves from experimentation to production, governance maturity, not model capability, determines market leadership.

Solved

Reasoning & Orchestration

  • Multi-step workflow planning and execution
  • Code generation and tool coordination
  • Document analysis and recommendations
  • Cross-system API operation
Frontier models from Anthropic, OpenAI, Google, and others provide this capability at production scale.
Missing

Trusted Execution

  • Asset custody and movement under policy controls
  • Transaction execution with governance enforcement
  • Operation across custody, payments, and capital markets
  • Verifiable action records per agent action
The layer where AI capability meets institutional constraints.
Required

Institutional Assurance

  • Cryptographic attestation of every agent action
  • Policy enforcement and approval controls
  • Full auditability and regulator-ready reporting
  • Accountability satisfying risk, compliance, and audit
Required before regulated production deployment.
The Gap

Governance is the unlock for enterprise AI adoption.

Regulated finance is a multi-trillion dollar sector. The $30B+ agentic AI market opportunity inside it is locked behind a governance gap, not a capability gap.

Gap 01: Agent Identity

Existing PKI identifies systems, not agents. Governance requires persistent, cryptographically verifiable identity.

Gap 02: Intent Evaluation

Rule engines enforce transaction limits and evaluate form, not meaning. Agents within syntactic limits can act outside intent.

Gap 03: Attestation Standard

No established cryptographic artifact standard exists for agentic AI actions in regulated financial environments.

Gap 04: MPC & Policy Architecture

MPC threshold signing distributes key material. Policy evaluation is a separate, prior layer. Both are required, but they are not the same.

Market Position
AI Capability × Governance Maturity
AI Capability ↑
Consumer Agents
High capability, low governance
Institutional Agents
High capability, high governance
→ The opportunity
Legacy Automation
Low capability, low governance
Enterprise Copilots
Low capability, high governance
Low governance High governance →
Institutions that establish governance architecture first are in a categorically different position in the 2027 examination cycle.
The Solution

Inside the Blockdaemon Control Plane

Every action is evaluated, authorized, and cryptographically enforced before execution.

Policy

Defines what an agent is allowed to do. Counterparty allowlists, asset restrictions, transaction limits, jurisdiction controls, and risk thresholds.

Defines the rules of engagement

Authorization

Determines whether a specific action should proceed. Approve, deny, escalate, human review workflows, and multi-party approval.

Evaluates intent against policy

Enforcement

Cryptographically enforces approved decisions. Secure Computation Environment, MPC signing and key management, clear signed approvals.

Prevents unauthorized execution

Accountability

Creates verifiable evidence of every action. Immutable audit trail, signed event records, policy snapshots, decision logs, regulator-ready reporting.

Proves what happened
How It Works
Agent Intent → Policy Evaluation → Authorization Decision → Cryptographic Enforcement → Attested Execution
Cryptographic Attestation

One cryptographic artifact
per agent action.

Signed. Attested. Exportable to any regulator.

Agent Identity & Intent

Cryptographic proof of which agent acted, under which policy, at which time. Not a log entry; a signed attestation that passes regulatory audit.

Policy Enforcement at Signing

MPC threshold signing enforces the institution's own policy rules: limits, counterparties, and chain scope. The agent cannot exceed what the institution authorized.

On-Premise. Always.

The institution, not Blockdaemon, attests to its own controls. The audit artifact never leaves the institution's infrastructure. Satisfies DORA Article 28 and OCC third-party risk. It cannot be replicated with a cloud-hosted model.

audit_artifact.json signed · verifiable
Agent ID
agt_9f3c1a7e-treasury-orchestrator
Policy Reference
pol://treasury/limits/v4 · enforced
Action Hash
0x7b22a4e9c1f038d6ab5e9c0271d4f8a3e6
Threshold Signatures
3 / 5 parties · MPC verified
Timestamp
2026-06-02T14:08:31Z UTC
Use Cases

Agentic automation
within institutional controls

Production-ready governance across treasury, payments, digital assets, and tokenized instruments.

Treasury

Treasury Automation

  • Intraday liquidity optimization within approved parameters
  • Cash concentration and sweep automation
  • Stablecoin settlement with policy-gated execution
  • Agent-proposed yield strategies; governance-approved before execution
Payments

Payments Orchestration

  • Cross-border payment orchestration and corridor optimization
  • Exception handling with cryptographic escalation records
  • FX routing within policy-defined limits
  • Settlement automation with full attestation chain
Digital Assets & Custody

Custody Operations

  • MPC-secured custody operations with agent-initiated signing
  • Staking management and validator governance
  • Yield distribution with policy-controlled disbursement
  • Regulated token operations under MiCA and GENIUS Act
Tokenized Assets

Tokenized Asset Management

  • Fund administration and asset servicing automation
  • Lifecycle management with governance records
  • Policy-controlled agent access to on-chain markets
  • Regulatory reporting automation with attestation export
Two Audiences, One Control Plane

Built for the organizations
defining institutional AI

Financial Institutions

Deploy agentic AI without compromising governance

Blockdaemon provides the governance infrastructure that lets regulated institutions move from AI experimentation to production deployment with confidence.

  • Shape governance standards and operating models
  • Influence attestation artifact format requirements
  • Governance architecture in place ahead of the 2027 examination cycle
  • Production deployment with no new vendor evaluation
Become a Design Partner
AI Labs & Agent Platforms

Your agents are ready. Regulated institutions are not.

Governance is the unlock for institutional enterprise AI adoption. Blockdaemon enables AI providers to deploy agents into regulated environments without building governance infrastructure.

  • Entry into 400+ regulated financial institutions
  • MPC-secured execution and cryptographic attestation
  • Deployment in banking, custody, payments, and capital markets
  • Adoption beyond copilots into regulated execution
Engage Early
Institutional Trust

Trusted by the institutions
building the future of finance

The only large-scale non-custodial US validator and infrastructure provider with compliance credibility.

400+
Institutional customers
$110B+
Digital assets supported
250k+
Nodes launched
70+
Protocols supported
ISO 27001 Certified
SOC 2 Type II
SOC 1 Type I
AML / KYC Program
OFAC Compliance Controls
Regulatory Foundations

The frameworks that apply
to agentic AI decisions today

Blockdaemon AI maps directly to the regulatory surface that institutions deploying AI agents face in treasury, payments, and custody workflows.

Framework Agentic AI Requirement Blockdaemon AI Response
SR 11-7 Model risk governance. Every model-driven decision requires validation, inventory, and accountability. Agentic AI is in scope. Cryptographic attribution of every agent action to an approved policy. Exportable validation artifacts. Senior accountability chain maintained.
DORA ICT third-party risk, resilience testing, contractual requirements for critical providers. On-premise deployment: institution-controlled resilience. ISO 27001 and SOC 2 Type II evidence. Six-year operational record.
OCC TPRM Third-party risk management: due diligence, ongoing monitoring, concentration risk, and exit planning. Zero key compromise events across six years. Full audit evidence package. Named institutional references available.
PRA SS1/23 Model risk management: senior accountability, model inventory, and validation governance for UK-regulated firms. Policy engine creates documented, attributable decision records per agent action. Maps to senior manager accountability.
MiCA III/IV Governance and custody controls for asset-referenced and e-money token operations. MPC signing with policy enforcement provides the control architecture for regulated digital asset operations.
GENIUS Act Reserve management controls, operational governance for US stablecoin issuers. Policy-gated signing for reserve asset management. Cryptographic attestation for reserve audits.
Governance Architecture

Fits within your existing
three lines of defense

First Line · Business Operations
  • Agent identity registration and lifecycle management
  • Policy configuration and transaction limit management
  • Counterparty approval workflows
  • Real-time action monitoring
  • Transaction limit enforcement
Second Line · Risk & Compliance
  • SR 11-7 model governance mapping and documentation
  • Regulatory attestation artifacts for examination
  • Breach alerting and escalation workflows
  • DORA and OCC TPRM documentation package
  • CRO-level reporting suite
Third Line · Internal Audit
  • Cryptographically verifiable audit trail
  • Immutable action attribution records
  • Exportable for regulatory review and examination
  • ISO 27001 and SOC 2 Type II aligned
  • Institution attests its own controls
Key Consideration

Institutions deploying or evaluating agentic AI in treasury, payments, or custody workflows face a documented regulatory surface across SR 11-7, DORA, OCC TPRM, and PRA SS1/23. The control architecture required to satisfy those frameworks is a scoped, deliverable problem. The Design Partner Program offers an accelerated path to having that architecture in place ahead of the 2027 examination cycle.

Design Partner Program

Co-designing the governance layer for institutional AI

Governance architecture for agentic AI in regulated financial services is being defined today. Organizations participating in the design process have the opportunity to influence emerging standards.

01

Attestation Artifact Co-Design

Define the format, fields, and export structure of the cryptographic record that your regulators will review and your AI providers will need to satisfy.

02

Policy Engine Architecture Input

Shape the evaluation layer for your specific treasury, payments, and custody workflows. Design partners define the policy architecture, not just consume it.

03

First-Mover Commercial Terms

Private Beta Cohort 02 pricing. Named design partner position. Priority access to near-term capability releases on the roadmap.

Design Partner Cohort 02 · Q3 2026

Request a Private Technical Briefing

The conversation covers attestation artifact specification, policy engine architecture, and how Blockdaemon AI integrates with your existing Builder Vault MPC deployment and your agent platform architecture.

Or contact us directly at ai@blockdaemon.com

Product Roadmap

Building the Control Plane
for Institutional AI

Production-ready controls today. Advanced governance capabilities on a clear path to market.

Production · today
Live
  • MPC threshold signing
  • ISO 27001 certified
  • SOC 2 Type II
  • Deterministic policy rules
  • Cryptographic audit artifacts
  • On-premise deployment
Blockchain Transactions
6–12 months
Near Term

Distributed policy evaluation per MPC party

1,000 TPS
Payment Instructions
12–18 months
In Build
  • Behavioral anomaly / injection classifier
  • Intent provenance attestation
5,000 TPS
Market Integrations
1–2 years
Joint Research

TEE-wrapped frontier inference with signed model outputs at institutional latency

Linear horizontal scaling
More Institutional Use Cases