Case study · Acme Corp · Agentic AI in production

Acme unblocked Agentic AI in production — and handed the auditor proof, not paperwork.

Engineering had already turned hours of complex migration work into minutes with AI copilots. Scaling those copilots into autonomous agents hit the GRC brake: no human identity, no clearance, no verifiable record of what the process executed. This is the architecture that closed all three gaps.

  • Process-level Zero Trust — exfiltration denied before it hits the wire
  • ISO 42001 & DPDP evidence anchored to a tamper-proof ledger
  • Parametric cyber warranty for verified zero-day events

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The roadblock

The agent has no identity — so Zero Trust has nothing to check.

GRC and security are not anti-innovation. They are asked to approve something traditional IAM was never built to verify: what an autonomous background process is executing, right now.

01 / FAILURE MODE

Hours became minutes — then stopped there

Engineers turn complex migration work into minutes with AI copilots. The moment those copilots become autonomous agents running in the background, the same efficiency hits an enterprise wall: nobody can vouch for what the process will do next.

02 / FAILURE MODE

Zero Trust authenticates people, not processes

A human engineer has an identity and a security clearance. An AI process has neither. Traditional Zero Trust — Entra ID and friends — can only infer an agent's blast radius; it never cryptographically enforces it.

03 / FAILURE MODE

Paper fails the technical audit

Manual GRC reports and spreadsheets cannot prove what an agent executed, and they certainly cannot stop data exfiltration that happens in milliseconds. Screenshots are not attestations — and auditors increasingly refuse them.

The deployment

Three controls Acme switched on — then proved to the auditor.

No forms in a drawer. Engineering and GRC read the same verifiable record: process restriction at runtime, evidence on the ledger, risk transferred by contract.

🔐 ISO 42001 & DPDP Act01

Ledger-anchored governance

Continuous AI agent posture validation is logged directly to a tamper-proof distributed ledger (Hedera Hiero). Your auditor re-hashes the payload and confirms it against the record — runtime evidence instead of a point-in-time questionnaire.

Merkle-rooted snapshotsRuntime evidenceAuditor re-verify
🛡️ Process-Level Zero Trust02

Pre-wire restriction

Digital twin sandboxes mathematically restrict what each agent may execute or exfiltrate before it ever hits the network wire. Security teams get absolute, cryptographic control over the process — not a policy PDF hoping someone reads it.

Digital twin sandboxPre-wire DENYExposure graph
💼 Built-In Risk Transfer03

Parametric cyber warranty

Because we maintain cryptographic proof of your security posture, a smart-contract-driven parametric warranty attaches to it — verified zero-day events trigger instant SLA remediation and financial cover, not months of claims negotiation.

Smart-contract triggerZero-day coverSLA remediation
Architecture · the proof path

From agent runtime to warranty trigger.

One record, written as the agent runs — engineering, GRC, the auditor and the insurer all verify it the same way.

  1. 01
    Agent runtime
    autonomous process in production
  2. 02
    Process Scope Attestation
    what the agent may execute
  3. 03
    Posture Engine
    control effectiveness, continuous
  4. 04
    Merkle Root
    canonical hash of the snapshot
  5. 05
    Hedera Hiero HCS
    immutable, timestamped, public
  6. 06
    Parametric Warranty
    smart-contract trigger & cover
Outcomes

What changed at Acme.

0
Annual questionnaires
audit reads anchored runtime evidence
100%
Snapshots anchored
Merkle root on Hedera Hiero
Pre-wire
Exfiltration blocked
before traffic leaves process scope
1-click
Independent verify
re-hash payload, match the ledger

Enterprise AI should not be stalled by legacy security.

See how the same architecture unblocks your Agentic AI rollout and automates your GRC controls with cryptographic proof.

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