DPDP-Ready AI Audit
Pass your DPDP audit before the Data Protection Board asks.
The Digital Personal Data Protection Rules, 2025 require every Significant Data Fiduciary to run an annual Data Protection Impact Assessment plus an independent data audit, and to verify that the algorithmic software processing personal data does not put data principals at risk. Our DPDP-Ready AI Audit maps your AI pipelines, consent flows, and model lineage to Rule 13 and hands you Board-reportable documentation.
A DPDP-Ready AI Audit is an independent assessment of your AI and data-processing systems against India's Digital Personal Data Protection Act 2023 and DPDP Rules 2025. It covers annual DPIA readiness, algorithmic risk and bias, consent and notice records, breach-response logging, cross-border transfer restrictions, and the audit documentation a Significant Data Fiduciary must report to the Data Protection Board. Typical engagement: 3–5 weeks.
Why Now
The DPDP Rules 2025 were notified on 13 November 2025, and the heightened obligations for Significant Data Fiduciaries under Rule 13 become fully enforceable on 13 May 2027. Banking, fintech, telecom, e-commerce, health-tech, social media, and gaming platforms are all in scope. Rule 13 is unusually forward-looking: alongside annual audits and DPIAs, it demands algorithmic accountability — proof that recommendation systems, scoring models, and AI decision engines do not harm the rights of data principals. Most teams have the models but not the audit trail.
Date Rule 13 obligations for Significant Data Fiduciaries become fully enforceable
MeitY — DPDP Rules 2025
Mandatory DPIA + independent data audit cadence for Significant Data Fiduciaries
DPDP Rules 2025, Rule 13
Key audit and DPIA findings must be reported to the Data Protection Board of India
DPDP Rules 2025
What You Get
How It Works
Scope & Data Mapping
We inventory the personal data you process and the AI/algorithmic systems that touch it, and confirm whether you are (or will be) a Significant Data Fiduciary.
DPIA & Algorithmic Risk
We run the Data Protection Impact Assessment and assess models for bias, transparency, and risk to data-principal rights.
Gap Analysis vs Rule 13
We benchmark consent, retention, logging, and transfer controls against the DPDP Rules 2025 and flag every gap.
Roadmap & Board Report
You receive a prioritized remediation plan and audit documentation formatted for reporting to the Data Protection Board.
Who It's For
- Banks, fintech, and lending platforms with automated decisioning
- E-commerce and social media intermediaries above the user thresholds
- Health-tech handling sensitive personal data
- Any organization likely to be notified as a Significant Data Fiduciary
Frameworks & Tools
What This Delivers
Representative outcomes based on typical engagements and industry benchmarks.
From kickoff to a Board-ready audit documentation pack
Rule 13 obligations mapped to named owners and deadlines
Remediation sequenced before the 13 May 2027 deadline
“We had the models in production but no audit trail. Skylink mapped every pipeline to Rule 13 and handed us a report we could take straight to the Board.”
Frequently Asked Questions
Any organization notified by the Government as a Significant Data Fiduciary (SDF) — typically large banks, fintechs, telecoms, e-commerce, health-tech, social media, and gaming platforms. Under Rule 13 of the DPDP Rules 2025, SDFs must complete an annual DPIA and an independent data audit and report key findings to the Data Protection Board.
The DPDP Rules 2025 were notified on 13 November 2025. The heightened Significant Data Fiduciary obligations under Rule 13 become fully enforceable on 13 May 2027, and the annual DPIA + audit cadence runs from the date you are notified as an SDF. Preparing now avoids a compressed remediation window later.
Rule 13 requires SDFs to verify that algorithmic software used to host, process, or share personal data does not pose a risk to data principals. In practice that means bias and fairness testing, transparency documentation, and traceable model lineage for recommendation systems, scoring models, and AI decision engines.
Yes. The audit ends with a prioritized remediation roadmap, and our engineering team can implement the fixes — consent tooling, logging, model-governance controls, and data-flow changes — as a follow-on engagement.
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Put every AI agent tool call behind a hardened MCP gateway — OAuth 2.1, default-deny policy, input/output sanitization, and full audit logging.
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Learn More →Ready to start your DPDP-Ready AI Audit?
Typical timeline: 3–5 weeks. Tell us about your situation and we'll scope it in a free call.
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