AGENT DOCKET — LIVE
Active
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policies in one binder, consent in another tool, obligations in a spreadsheet, and a consultant’s gap report that was out of date the day it was delivered.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.
01
Today’s approach
One-time audits, questionnaire tools, static gap reports.
02
Today’s reality
Phased rulemaking, recurring obligations, data spread across systems, vendors and 22 languages of consent.
03
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
59+ questions across 12 domains, each mapped to a provision of the DPDP Act, 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
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.
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.
Swappable Models
The harness, not the model, is what cannot be subscribed to.
01
Gap & Risk Assessment
Assessment agents run 59+ section-mapped questions across 12 domains and score your exposure: a Board-ready diagnosis in weeks, reviewed by counsel, not months of consulting.
Board-ready in weeks
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→
02
Compliance Management
Obligation agents turn every gap into a tracked obligation with owners, recurrence and escalation. Close one and your live score recovers: compliance as a system, not a binder.
Live score
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→
03
Consent Management
Consent agents run the full MeitY BRD-aligned lifecycle in all 22 scheduled languages: capture, receipts, withdrawal, and propagation to every downstream processor.
22 languages
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04
Customer Notification
Notification agents draft and, on your approval, deliver erasure notices, policy updates and breach communications: trigger-based, on time, on the record.
72-hour ready
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05
Training & Awareness
Role-based DPDPA training built by the lawyers behind the platform, so every approver at every gate knows exactly what they are approving.
Role-based
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06
Virtual DPO (vDPO)
The human layer above the agents: certified privacy professionals and in-house counsel who steer, approve and stand behind the outcome.
Human-governed
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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.
07 — Proof, not promises
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.
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
+
Datasets refining the model
Scheduled languages
Cr
Maximum exposure we help avert
Start with an agent-run readiness assessment: section-mapped, counsel-reviewed, Board-ready.
Get your readiness score