Skip to content

Use cases

Built for the industries that can't afford to guess.

Deterministic enforcement for AI agents operating in regulated, high-stakes environments. Every action governed before execution.

Industries

Government & Public Sector

DPDP compliance for departments that can't afford to get it wrong.

Government departments and PSUs hold some of the country's largest stores of citizen data — and the tightest deadline.

Enforcement pipeline

01Consent collected without a lawful basis

Risk

Citizen data is collected and reused across schemes without a clear, recorded consent artefact for each purpose.

Checkpoint
MODIFY

Consent is captured per purpose, in 22 languages, with a durable record of what was agreed to and when.

02Missed breach-notification windows

Risk

A breach is discovered, but CERT-In's six-hour clock and Data Protection Board filing requirements are missed.

Checkpoint
ESCALATE

Breach detection triggers a pre-built filing workflow for CERT-In, the Data Protection Board and the relevant regulator.

03Unmanaged vendor and agent access

Risk

Empanelled vendors, contractors and now AI agents accumulate standing access to citizen data with no periodic review.

Checkpoint
DENY

Every access grant — human or agent — is inventoried and reviewable under the same accountability layer as AgentGuard.

Regulatory frameworks this scenario touches — not certifications CuriousDevs holds

DPDP Act, 2023CERT-In 6-hour breach ruleData Protection Board filingsSectoral regulator rules

Let something decide for you. Just not unsupervised.

Bring one workflow you are nervous about. We will show you exactly where the checkpoint goes and what it would have stopped last month.

See the platform

Questions

The things people ask first

Short answers on how this runs, what it costs you in speed, and what you can hand to an auditor.

A decision checkpoint for software and machines that act on their own — it approves, trims, escalates or refuses each action, and keeps a signed record of why.