Trust, Identity, and Compliance
for Autonomous AI Agents
HashPunch provides a layered platform for building safe, verifiable, and policy-aligned agentic AI systems for the enterprise.
Why This Matters
Autonomous AI agents are transforming enterprise operations, but they introduce critical trust, identity, and compliance challenges that existing orchestration frameworks don't address.
No Inherent Identity
AI agents operate anonymously without verifiable credentials or decentralized identifiers, making it impossible to establish trust.
Opaque Actions
Agent decisions and actions lack transparency, creating accountability gaps and making it difficult to understand system behavior.
High Compliance Risk
Without policy enforcement and guardrails, autonomous agents can violate regulations, industry standards, and organizational rules.
No Cryptographic Provenance
Existing frameworks don't provide tamper-proof audit trails or cryptographic evidence of agent actions and decisions.
Built in Four Layers
HashPunch's architecture is designed as a layered platform, each layer building upon the previous to create a comprehensive trust and compliance infrastructure.
Agent Runtime Layer
The execution environment for autonomous AI agents, handling model selection, workflow orchestration, standardized logging, and safe tool invocation with consistent telemetry.
Identity & Credential Layer
Provides every agent, device, and human with a Decentralized Identifier (DID), enabling verifiable credentials, permission checks, and authenticated interactions with signed actions.
Compliance & Policy Layer
Translates regulations and rules into machine-readable policies, performing real-time policy evaluation, enforcing guardrails, and generating compliance traces for every agent action.
Ledger & Provenance Layer
Anchors critical events to a distributed ledger, providing tamper-proof auditability, cryptographic proofs of identity and actions, and immutable logs for regulators and auditors.
Each layer integrates seamlessly to provide comprehensive trust, identity, and compliance for autonomous AI systems
Platform Capabilities
Comprehensive features designed for enterprise-grade autonomous AI systems
Agent Identity
DID-based framework for verifiable agent identities
Signed Actions
Cryptographically signed outputs for full traceability
Real-Time Policy Enforcement
Continuous compliance evaluation for every agent action
Workflow Traceability
Complete audit trails from input to output
Ledger Anchoring
Immutable records on distributed ledger infrastructure
Multi-Agent Collaboration
Secure communication between authenticated agents
Credential-Based Permissions
Role and attribute-based access control
Enterprise Integrations
Seamless integration with existing identity systems
How It Works
From task initiation to verifiable output, every step is secured, validated, and recorded
Agent Receives Task
Autonomous agent initiated with a specific workflow or request
Identity Validated
DID verification and credential check performed
Policy Evaluation
Real-time compliance and guardrail assessment
Controlled Execution
Workflow executed with continuous monitoring and logging
Output Signed
Results cryptographically signed by agent identity
Ledger Anchoring
Action and outcome anchored to distributed ledger
Verifiable Result
Returned with complete provenance and audit trail
Use Cases
Deploy trustworthy autonomous AI across industries and domains
Autonomous Compliance Assistants
AI agents that navigate regulatory requirements, generate compliance reports, and ensure policy adherence in real-time with full auditability.
AI in Finance
Trusted agents for risk assessment, underwriting, fraud detection, and KYC/AML operations with cryptographic proof of compliance and decision-making.
ESG & Audit-Ready Reporting
Autonomous systems that collect, verify, and report ESG metrics with tamper-proof provenance for stakeholders, regulators, and auditors.
Multi-Agent Workflows
Secure collaboration between specialized agents with identity-based permissions, policy enforcement, and complete workflow traceability.
Autonomous IoT Agents
Edge devices and IoT systems with verifiable identities, secure actions, and distributed ledger anchoring for industrial and enterprise applications.
AI Agent Marketplaces
Internal platforms where trusted, credentialed agents can be discovered, deployed, and orchestrated with built-in governance and compliance.
Built For Enterprise Leaders
HashPunch addresses the needs of technical leaders who are responsible for deploying and governing autonomous AI systems
CTOs & CIOs
Build autonomous systems with built-in trust, reducing time-to-market while ensuring compliance. Deploy AI agents at scale with confidence in their identity, actions, and accountability.
CISOs & Risk Teams
Gain cryptographic proof of agent behavior, real-time policy enforcement, and immutable audit trails. Meet regulatory requirements with verifiable, tamper-proof evidence of compliance.
AI Platform & DevOps Teams
Integrate HashPunch's layered architecture into existing workflows with minimal friction. Leverage standardized APIs, DID frameworks, and ledger integration for production-grade agentic AI.
Simple Integration
Execute trusted agent workflows with a clean, developer-friendly API
import { HashPunchClient, AgentTask } from "@hashpunch/sdk";
// Initialize client with DID credentials
const client = new HashPunchClient({
agentDID: "did:hpunch:agent:abc123",
privateKey: process.env.AGENT_PRIVATE_KEY,
});
// Define a compliant agent task
const task: AgentTask = {
workflow: "kyc_verification",
input: { userId: "user_456", documentType: "passport" },
policies: ["gdpr-compliance", "kyc-aml-policy"],
};
// Execute with full trust & provenance
const result = await client.execute(task);
console.log(result);
// {
// status: "completed",
// output: { verified: true, riskScore: 0.12 },
// signature: "0x7f3a...",
// ledgerProof: "0x9c2b...",
// policyTrace: { evaluated: 3, passed: 3 },
// timestamp: "2024-01-15T10:23:45Z"
// }Every action tied to verifiable identity
Real-time compliance validation
Cryptographic proof of execution