Adoption Outpaces Controls
Speed without safeguards
Teams deploy AI and automation faster than they can assess data exposure, model risk and operational impact.
Impact — AI use cases with no owner, no risk view and no audit trail.
AI Automation · Cybersecurity · Data Security · AI Governance
Raudhra Technologies helps businesses adopt AI securely, responsibly and efficiently — with cybersecurity, data security and governance built into the core of every implementation, not bolted on afterward.
Adoption is moving faster than the security, privacy and governance needed to run it safely.
Speed without safeguards
Teams deploy AI and automation faster than they can assess data exposure, model risk and operational impact.
Impact — AI use cases with no owner, no risk view and no audit trail.
From good practice to obligation
Laws such as India's DPDPA, together with sector regulators, make privacy and security a Board-level responsibility.
Impact — Notice, consent, rights, retention and breach duties.
Priced and built for large enterprises
Advanced security tooling is complex, hard to interpret and expensive, which leaves mid-sized firms exposed.
Impact — A capability gap in the mid-market, where most demand sits.
Implication → Businesses either slow their AI adoption, or move fast and carry risk they cannot see.
One partner for the transformation, and for the trust that has to come with it.
Practical AI solutions that automate real business processes.
Security engineering and analysis across the AI and technology stack.
Clarity on where data lives, how it flows and who can reach it.
Responsible-AI policies, oversight and accountability structures.
Explainable insight into systems, risks and exposure.
DPDPA readiness and audit-ready evidence for Board and regulators. See DPDP Awareness ↓
Principle → Cybersecurity, data security and governance sit at the core of every implementation.
Every AI initiative is now also a privacy, security and governance decision.
DPDPA
Privacy Law Is Live. The Act creates notice, consent, rights, retention and breach obligations most organisations haven't yet operationalised.
RBI · CERT-In · SEBI
Regulators Are Tightening. Regulated lenders manage several overlapping incident, reporting and disclosure duties at once.
Core Workflows
AI Enters Customer & Employee Data. As AI touches sensitive data, unmanaged risk becomes business, regulatory and reputational risk.
The opening → Compliance forces the conversation today. AI makes security and governance a permanent need.
A compliance-led entry point, with a product layer that deepens each relationship.
Our security-analysis product, built to make advanced security capabilities explainable, accessible and affordable. Early validation with an initial technology partner.
Role — Recurring product revenue over time.
Learn about Netra ↓DPDPA readiness, AI governance and regulatory programmes: discovery, gap assessment, remediation roadmap and Board-ready reporting.
Role — Assessments, implementation and retainers.
Identify where AI creates value, build practical solutions and automate business processes, with security and governance designed in.
Role — Follow-on work inside existing accounts.
This is an awareness section, not our whole business — but it's a regulation every organisation handling personal data in India needs to understand.
Nov 2025
DPDP Rules 2025 formally notified, setting the compliance clock in motion
₹250 Cr
Maximum penalty per instance of non-compliance under the Act
May 2027
Deadline for full substantive compliance across all data fiduciaries
3 Phases
Board setup, Consent Manager rollout, then full obligations — each with its own deadline
Any organisation — Indian or foreign — that processes the personal data of individuals in India, whether collected digitally or digitised afterward. The Act calls you a "Data Fiduciary" once you determine how and why that data is processed.
Valid, informed consent for data collection; clear notices in plain language; limits on how long data is retained; the ability for individuals to access, correct or erase their data; and breach-notification obligations to both regulators and affected individuals.
Need a DPDP-specific gap assessment for your organisation?
Talk to us about DPDPOur security-analysis product — built to make advanced security capabilities explainable, accessible and affordable for the mid-market. The MVP is built and in early validation with an initial technology partner. Netra provides continuous visibility across databases, networks, browser activity and CI/CD pipelines, catching data exposure, Shadow AI, vulnerabilities and code-level leaks before they become incidents.
MVP
built and validated with an early technology partner — now onboarding design partners for the next phase
Continuous scanning for sensitive and personal data at rest, across structured and unstructured stores.
Visibility into network-level data movement and exposure points across the environment.
Detection of Shadow AI usage and unsanctioned tools handling company data.
Scanning for code-level leaks — secrets, keys and personal data in build pipelines.
Three signals that the problem is real and our approach works.
A working security-analysis product, demonstrable to prospects and partners.
Early validation of Netra's value with an external technology company.
Active DPDPA readiness engagement with a lending NBFC — an eight-week gap assessment with follow-on programme scope.
A phased sequence that moves from evidence, to insight, to a Board-ready record.
Weeks 1–2
Personal-data inventory, systems and journey documentation, policies and stakeholder inputs.
Weeks 3–6
Gap assessment against DPDPA, risk-ranked controls, and review of data at rest and in transit.
Weeks 7–8
Consent and policy documents, remediation register and the Board / CXO decision pack.
Delivery principle → Three parallel verticals cross-validate findings so the Board sees one reconciled position.
Most alternatives cover one part of the problem, or price out the mid-market.
| Raudhra | Large Consultancies | Point Security Tools | Generic AI Vendors | |
|---|---|---|---|---|
| AI + security + governance together | Yes | Partial | No | No |
| Explainable, business-readable output | Yes | Partial | No | Partial |
| Affordable for mid-market firms | Yes | No | Partial | Partial |
| Built for Indian regulation (DPDPA, RBI) | Yes | Partial | No | No |
| Assessment plus product in one relationship | Yes | No | Partial | No |
Qualitative view of typical alternatives, based on Raudhra's own market assessment.
Fixed-scope, effort-based assessment, such as an eight-week DPDPA gap assessment.
Consultancy package to close gaps: policies, consent, contracts and controls.
Annual retainer for ongoing compliance, assurance and Board reporting.
Netra and AI-governance tooling layered on as recurring product revenue.
Our beachhead is regulated lenders and BFSI mid-market — firms with many acquisition channels, processors and systems that hold personal data, where the regulatory trigger and budget authority are both clear.
Firms handling large volumes of investor and financial data under active regulatory scrutiny.
Lenders processing KYC, credit and repayment data across multiple channels and partners.
Fast-moving platforms balancing product velocity with data protection obligations.
Organisations that need governance in place as AI tools enter day-to-day workflows.
Each engagement is owned by senior Raudhra leads across three verticals.
Drafts and version-controls consent artefacts, notices and policies, and maintains the records-of-processing trail regulators expect.
Maps and validates business processes across journeys, systems and functions, and acts as the client's single point of contact.
Independently assesses data at rest and in transit, so technical safeguards match what is documented on paper.
Leadership → Dhara Patel & Raj Thakkar, Co-Founders. Legal counsel, senior consultants and risk specialists complete the delivery bench.
We'd welcome the opportunity to understand your current priorities and explore where we can add value — starting with a short conversation.