No Agent Identity
No standard for who an agent is, which version, or whether it was authorized to act.
DataBanq is the identity, authorization, and cryptographic audit infrastructure for enterprises deploying AI agents in regulated workflows.
of enterprise software applications will include agentic AI by 2028
of enterprises using GenAI are expected to pilot agentic AI in 2025
of day-to-day work decisions are projected to be made autonomously by 2028
Enterprises are deploying autonomous AI agents at speed. They read sensitive data, make consequential decisions, call APIs, and trigger workflows — often without a human in the loop. Most organizations cannot answer the most basic governance questions.
No standard for who an agent is, which version, or whether it was authorized to act.
When Agent A spawns Agent B, there is no cryptographic chain of custody. Sub-agents can exceed parent permissions.
Agents hold broad access forever. When one is compromised, the damage is unlimited.
Regulators need to know which model version made a regulated decision. Most organizations have no answer.
Agents call MCP servers with no policy enforcement. Data exfiltration happens silently.
Agent actions are a black box to auditors. Control gaps surface at audit time, not before.
DataBanq issues cryptographically signed agent identities, enforces authorization boundaries, governs A2A trust chains, and generates regulator-ready audit evidence — automatically.
The door opener. The urgent, unsolved problem.
Once agents are governed, govern everything else.
Every agent receives a cryptographically signed DBQ Agent Identity Token — binding identity, authorized scope, and the human principal who authorized it in a single verifiable credential.
Scope limits, A2A trust chains, and blast radius controls are enforced in real time. Every agent action is bounded by policy — cryptographically, not just on paper.
Every governance event is hash-signed and automatically mapped to SOC 2, HIPAA, EU AI Act, and NIST AI RMF controls. Regulator-ready packages generate on demand.
Govern loan, underwriting, fraud, and servicing agents with regulator-ready evidence.
Control agents handling PHI, triage, intake, and patient workflow decisions.
Track claims, pricing, and policy servicing agents across audit-sensitive operations.
Document model lineage, research agent actions, and validation checkpoints.
Enforce identity, policy, and chain-of-custody for citizen-facing automation.
Prove what the agent did, why it was allowed, and who approved it.
Secure internal copilots, tool-using agents, and MCP-connected enterprise apps.
Regulators are not waiting. AI agent governance obligations are materializing now across every major regulated industry.
High-risk AI systems require documented decisions, human oversight mechanisms, and audit logs. Enterprise AI agents qualify in virtually every context.
Audit trails for automated systems accessing customer data are now standard audit expectations. Agents are automated systems.
Risk management requirements map directly to agent governance controls most organizations have not yet built.
Financial model documentation and model risk management requirements now extend to autonomous AI decision systems.
The first wave of AI regulatory enforcement will target organizations that deployed agents without governance infrastructure.The question is not if — it is when.
We are accepting 3–5 design partners from fintech and healthtech in 2026. Design partners get full platform access at significantly reduced pricing and direct input into the product roadmap.
| What You Receive | What We Ask |
|---|---|
| Full platform at reduced or deferred pricing | 2–4 feedback sessions per quarter |
| Direct roadmap input | Share real compliance requirements |
| Co-develop your specific use case | Reference availability with consent |
| Priority Tier 4+ beta access | Honest feedback — good and bad |
Annual SaaS. Tiers 1–3 available now through the Design Partner Program. Tiers 4–6 require SOC 2 Type II, targeted for Q1 2027.
Consent Registry, Usage Logging, Policy Engine, Audit Export
Lineage Graph, Shadow AI Monitor, Vendor Chain Intelligence
Full agent governance platform across all six core capabilities
A2A trust, model provenance, SIEM integration, dedicated CSM
Multi-region, private cloud, custom framework mapping
Air-gapped, on-premise vault, regulator liaison support
Organizations establishing governance infrastructure now will have the audit trails, the compliance posture, and the defensible evidence regulators will demand. Organizations that wait will be building it in crisis mode.