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Somewhere, an agent is reading a contract clause.

DPDPA compliance, run by AI agents.

Governed by lawyers. Approved by you.

DPDPA compliance, run by AI agents.

Governed by lawyers. Approved by you.

DPDPA compliance, run by AI agents.

Governed by lawyers. Approved by you.

Get your readiness score

Talk to our counsel

AGENT DOCKET — LIVE

Active

09:47:34

4.5 Vendor Risk Check

Re-assessed a third-party processor against DPDPA Sec. 8.

Executing

09:45:58

2.3 Cross-Border Transfer Review

Flagged a new vendor transfer, assembling supporting evidence.

Executing

09:44:35

7.1 Consent Notice Refresh

Drafted updated notice, routed to legal for sign-off.

In Review

09:43:10

4.2 Grievance Officer Appointment

Verified appointment on file ahead of the Q3 filing window.

Filed

7 agents on shift

1 reviewer on call

Every finding section-mapped to the DPDP Act

Human approval at every gate

Every action in one auditable trail

Manual compliance can’t keep up with the DPDP Act

Every compliance program starts the same way: policies in one binder, consent in another tool, obligations in a spreadsheet, and a consultant’s gap report that was out of date the day it was delivered. Meanwhile the rules keep being notified, your data keeps moving across systems and vendors, and the penalty exposure runs to ₹250 crore.

Today’s approach

One-time audits, questionnaire tools, static gap reports.

Today’s reality

Phased rulemaking, recurring obligations, data spread across systems, vendors and 22 languages of consent.

The result

Stale assessments, missed deadlines, and evidence that doesn’t stand up to the Data Protection Board.

IndiSec puts a team of specialized AI and human agents on your compliance

IndiSec’s platform runs DPDPA compliance the way modern engineering teams run software: autonomous, deterministic agent workflows do the heavy lifting, assessing, tracking, translating, notifying, evidencing, while our agentic harness governs every agent, our in-house counsel reviews the law, and your team approves every gate. The agents do the work. Your organisation stays in command.

01 / Discover

Assessment agents

12 domains mapped to the provisions of the DPDP Act, with weighted scoring, risk tiers and penalty exposure, refined on 30,000+ datasets.

02 / Prepare

Obligation agents

Converts every gap into a tracked legal obligation with an owner, recurrence schedule, reminders and escalation: a live register, never a static report.

03 / Implement

Evidence agents

Binds consent receipts, cryptographically chained logs and version history into Board- and DPB-ready defensibility, automatically.

Meet Veda

Meet Veda, your AI privacy analyst.

Veda briefs itself on your organisation, runs the assessment, drafts the notices, watches the rulemaking, and ranks what needs attention first, pausing at every human gate.

You asked“What changed in the consent rules?”

Vedadone, over to you

Reading the new rules

Checking your consent notices against them

Reviewing your privacy policy

Drafting the wording you need

The rules changed on 12 August. Your sign-up notice is missing one line, and your policy needs the same edit. I have written both.

Review the draftNothing goes out until you say so

Engineered for trust: the IndiSec Harness

Models are swappable components at the bottom of our stack. IndiSec’s engineering, and its moat, lives in the harness that governs them: six components that make agentic AI safe for legal work.

Human Oversight, Counsel & vDPO

Your team and ours approve every gate before an agent acts

Context engineering

DPDPA data packs, MeitY standards, our assessment library and your organisation’s history: curated context, not open-ended prompting.

Ambient agents & workflows

Assessment, obligation, consent, notification and evidence agents run as code, not prompts: identical on every run.

Long-context memory & state

Your compliance history persists; every confirm or dismiss becomes training data unique to your organisation.

Verification & observability

Recorded reasoning, findings tracked to their source section of the Act, badged AI actions and 100% audit logging.

Guardrails & gates

Nothing changes state without a recorded human decision; counsel approves regulatory updates before any agent acts.

Secure, governed tool use

Agents act only through platform engines, in your VPC, with no data egress and prompt-injection prevention, every call logged.

Your VPCsingle tenant · your cloud account

Data at restAES-256 · tokenised

emailuser@example.intok_4c91e7

phone+91 98765 43210tok_b02f5a

id_no4821 9930 1174tok_7e31d9

dob14/03/1993tok_1a86c4

Identifiers are tokenised at rest. The keys stay in your own key service.

TLS 1.3

Agent runtimeidle

Drafting an erasure response

Works in memory only. Nothing is copied out, and no personal data trains a model.

result

Egress gatearmed

Personal data · held inside

Hash and timestamp · released

Every outbound call is inspected. Anything carrying personal data is stripped at the wall.

personal data

#hash

Evidence logoutside your VPC

├#a91f4c

├#7d20be

├#3fe8a1

Hashes only, each chained to the one before it. No personal data, by construction.

Personal data that crossed the perimeter0 bytesActions written to the evidence log1,284

VPC / Private Cloud Deployment

Deploy inside your own cloud perimeter, not a shared multi-tenant environment.

No Data Egress

Sensitive personal data never leaves your environment to train or fine-tune a model.

Cryptographically-Chained Evidence Logs

Every agent action is logged in a tamper-evident chain your auditors can trust.

RBAC & Maker-Checker

Role-based access and dual approval on every sensitive workflow action.

API-First Integration

Connect to your existing security, HR, and data stack via documented APIs.

Full Auditability

Every score, decision, and notification an agent files is traceable back to its source.

One register. A different read for every buyer.

The problem

DPOs are personally accountable for outcomes they can’t fully see or control.

What agents execute

Continuous risk scoring, obligation tracking, and consent & rights workflows, without manual chasing.

Evidence you receive

Board-ready compliance reports, full audit trails, and cryptographically-chained evidence logs.

What changes

From reactive firefighting to one register your entire team works from, every day.

The problem

Technology teams inherit the integration burden of every new compliance tool, and most don’t fit the existing stack.

What agents execute

API-first workflows that integrate with your identity, HR, and data systems instead of duplicating them.

Evidence you receive

Integration logs and API documentation your engineers can actually review.

What changes

From another isolated tool to a system that plugs into what you’ve already built.

07 — Proof, not promises

Trusted where compliance really matters.

Large conglomerate

Diversified conglomerate

Consolidated obligation tracking from disconnected spreadsheets across business units into a single register of record.

Global alternative asset manager

Alternative investments

Replaced manual consent and rights-request handling with agents that execute the workflow directly, cutting typical response time from weeks to days.

Ed-tech platform

Ed-tech

Moved from annual point-in-time risk reviews to agents that reassess continuously, always current.

Outcomes are illustrative and directional, based on typical engagement patterns.

What people ask before they trust us with this

Do IndiSec's AI agents make legal decisions?

No. Agents assess, draft, track and evidence; they never decide. Every regulatory interpretation is reviewed by in-house counsel, and nothing changes state without a recorded approval by a named person, yours or ours.

Does IndiSec train AI models on our data?

Your data never trains shared or public models and never leaves your environment; the platform runs in your VPC or private cloud with zero-copy discovery and no data egress. Your confirmations refine models used only for your organisation.

Which AI model does the platform use?

A privately hosted SLM at the core, with an LLM-agnostic harness above it: commercial models are optional, interchangeable components. Swapping a model never requires re-platforming, and no data is shared with model providers.

How is this different from a consultant's gap assessment?

A consultant's report is a snapshot. IndiSec's assessment is section-mapped, counsel-reviewed and alive: agents re-score continuously, gaps become tracked obligations, and evidence accumulates automatically.

What evidence would we have in front of the Data Protection Board?

Consent receipts, cryptographically chained logs, evidence hashes, version history and a complete timestamped trail of every human and AI action, defensibility engineered in, not reconstructed after the fact.

How fast can we start?

The agent-run readiness assessment produces a section-mapped, Board-ready diagnosis in weeks, not months. Integration is API-first: hours, not weeks.

Domains assessed, section-mapped to the Act

30,000

Datasets refining the model

Scheduled languages

250

Maximum exposure we help avert

See your gaps before the regulator does.

Start with an agent-run readiness assessment: section-mapped, counsel-reviewed, Board-ready.

Get your readiness score