What does "Digital Trust" actually mean in practice?

It is the discipline of making privacy, security, governance, compliance and AI accountability work as one programme rather than four competing ones. In practice that means a single control library serving every framework you are subject to, one risk taxonomy, one assessment that answers several obligations, and one reporting line to the board. The alternative — which is what most organisations have — is four functions asking the same business unit the same question in different formats and reporting on different cycles.

How quickly can we be DPDPA ready?

For a mid-sized enterprise with twenty to sixty systems holding personal data, a credible programme runs sixteen to twenty-four weeks. The first five weeks are discovery and gap assessment; the remainder is remediation, and its length depends almost entirely on how much engineering change your consent and retention design requires. We publish a week-by-week plan after discovery, so the timeline becomes a commitment rather than an estimate.

Do you implement, or only advise?

Both, and the split is agreed explicitly in the statement of work. Our default model includes hands-on delivery — writing detection logic, configuring identity policy, specifying consent architecture, building runbooks — alongside your teams. We do not hand over a report and leave; we stay through the internal audit and the certification audit.

Are you independent of the tools you recommend?

Completely. We hold no reseller agreements, no referral fees and no vendor commissions of any kind. It costs us revenue that most consultancies accept, and it is the single reason our platform recommendations carry weight. We will tell you when you do not need a tool at all — including one you have already budgeted for — which is not a conversation a partner-tier reseller can have.

We already have a compliance platform. Do we still need you?

A platform stores evidence and tracks controls; it does not decide what your controls should be, test whether they work, or defend your position to an auditor. Most of the clients who come to us already own a platform and are not getting value from it. Our job in that case is to make the licence fee earn itself — not to sell you another one.

Sector practice

Healthcare & Life Sciences

Patient trust is clinical infrastructure.

Benchmark against your sector Talk to the sector lead

Built for this sector

clinical downtime recovery objectives set before an incident, not during one: RTO-defined
BAA coverage mapped and tracked, not assumed: Every processor
connected medical devices inventoried by class and risk: Device-aware

Applicable frameworks

Context

What makes this sector different

Health data is special category data under every regime that matters, and healthcare organisations hold it at enormous scale across systems that were rarely designed with data protection in mind — hospital information systems, PACS, LIS, claims platforms, patient apps and an expanding set of connected medical devices.

The pressure is compounding. DPDPA brings consent, purpose limitation and erasure obligations to a sector that has historically retained everything indefinitely. The Ayushman Bharat Digital Mission introduces health ID linkage and consent-managed exchange. US clients impose HIPAA through Business Associate Agreements. And clinical AI is arriving faster than governance for it.

We work with providers, payers, digital health platforms and healthcare BPOs on programmes that hold up to clinical reality: controls that do not obstruct care delivery, consent that works for a patient who is unconscious, and retention that respects both medical record law and erasure rights.

Priorities we work on

Consent management that works for emergency, paediatric and incapacitated patients
Segmentation between clinical, administrative and connected-device networks
Retention design reconciling medical record law with DPDPA erasure
HIPAA Security Rule risk analysis for US-facing operations
Ransomware resilience with tested clinical downtime procedures
AI impact assessment for diagnostic and clinical decision support

Pressure points

The constraints that shape every programme here

These are not hypothetical risks. They are the specific conditions we have had to design around on engagements in this sector.

Legacy clinical systems

HIS, LIS, PACS and RIS platforms that predate modern authentication, offer no field-level access control, and cannot support selective deletion.

Overlapping regulation

DPDPA, HIPAA through BAAs, GDPR for international patients, ABDM health data management policy, and clinical establishment record-retention rules all applying at once.

Connected medical devices

Infusion pumps, imaging systems and monitors on the clinical network with unpatched operating systems and vendor-controlled maintenance access.

Ransomware exposure

A sector where downtime has direct patient-safety consequences, making it the highest-value ransomware target in the country.

Clinical AI governance

Diagnostic and triage models entering production with no impact assessment, no bias evaluation across patient demographics, and no defined human oversight.

How we help

Capabilities most used in this sector

All solutions

Privacy

Turn data protection law into working product behaviour.

We map where personal data actually lives, rebuild consent and rights flows into your product, and leave you with a privacy programme that survives an audit and a board question.

Explore capability

Security

Cyber Security

Defensible security, built around how your business actually loses money.

Threat-led security strategy, architecture and control design that prioritises the handful of scenarios that would genuinely hurt you — not a generic checklist of 300 controls.

Explore capability

Compliance

Certification without the eighteen-month scramble.

Readiness, implementation and audit support for ISO 27001, ISO 27701, ISO 42001, SOC 2 and PCI DSS — run as a project with dates, owners and a definition of done.

Explore capability

Governance

AI Governance

Ship AI you can explain, defend and audit.

An AI management system aligned to ISO 42001 and the EU AI Act — model inventory, risk classification, evaluation, human oversight and the evidence trail regulators will ask for.

Explore capability

Other sectors

Where else we work

All sectors

Banking & Financial Services

Regulatory density meets real-time expectations.

Banks, NBFCs, insurers, fintechs and capital markets firms operate under the most prescriptive supervisory regime in India, with regulators that audit rather than advise.

controls designed to withstand inspection, not just pass implementation: Audit-firstcontrols designed to withstand inspection, not just pass implementation
served by one control library: 6 regimesserved by one control library
built for continuous production, not a year-end scramble: Evidence on demandbuilt for continuous production, not a year-end scramble

Sector detail

Technology & SaaS

Trust is the shortest path through enterprise procurement.

For product companies, security and privacy posture is not overhead — it is the thing that determines whether an enterprise deal closes this quarter or next year.

security questionnaire turnaround with a committed response time: SLA-backedsecurity questionnaire turnaround with a committed response time
a defined path through the observation window, not a guess: Readiness to Type IIa defined path through the observation window, not a guess
a trust package built for the security review, not assembled ad hoc: Buyer-ready evidencea trust package built for the security review, not assembled ad hoc

Sector detail

Manufacturing & Industrial

When the line stops, everything else is academic.

Manufacturers face converging IT and OT risk, extended supplier networks, and customer security requirements arriving through the supply chain rather than from a regulator.

production recovery objectives agreed with operations, not just IT: RTO-definedproduction recovery objectives agreed with operations, not just IT
every connected asset classified by risk before controls are designed: Full OT inventoryevery connected asset classified by risk before controls are designed
vendor and integrator access designed as just-in-time, not always-on: No standing accessvendor and integrator access designed as just-in-time, not always-on

Sector detail

Retail & E-commerce

Personalisation and consent, reconciled.

Retailers hold consumer data at the highest volume of any sector, monetise it through marketing technology, and must now make consent enforceable across that entire stack.

consent propagation tested end-to-end, not assumed from the banner down: Signal-verifiedconsent propagation tested end-to-end, not assumed from the banner down
PCI DSS scope reduced by design, before controls are added: Scope-firstPCI DSS scope reduced by design, before controls are added
every script on the page accounted for, not just the ones IT knows about: Tag-auditedevery script on the page accounted for, not just the ones IT knows about

Sector detail

Questions

Working with us

The questions that come up in almost every first conversation, whatever the sector.

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