
Healthcare & Diagnostics
We run the cloud behind diagnostics, telehealth and chronic-care platforms, secure the records they hold and keep them within the rules that govern health data in India.
VA2PT provides managed cloud operations, DevSecOps, penetration testing and compliance support for healthcare, diagnostics and health-tech companies in India. We secure patient records and lab data on AWS, Azure and Google Cloud, align with DPDPA 2023 and ABDM requirements, and support HIPAA controls for companies serving overseas providers.


Test results, prescriptions and diagnoses fall under the strictest expectations of DPDPA 2023. A breach damages patient trust and invites penalties.
Report delivery, appointment booking and device data ingestion must work at all hours. Downtime delays diagnoses and clinical decisions.
LIS, HIS, wearable and government health-stack integrations introduce legacy protocols and third-party risk into modern platforms.
Teams want AI-assisted triage and report summarisation, but need guardrails so models never leak patient data or produce unsafe output.
Encryption at rest and in transit, least-privilege access, audit logging and region pinning for records and backups.
Managed Cloud Services (MSP)Monitoring of report pipelines, booking systems and device ingestion with engineers on call around the clock.
24x7 SRE & NOCTesting of mobile apps, web portals, lab APIs and integrations, with findings ranked by impact on patient data.
VAPTPrivate model endpoints, data minimisation and testing against the OWASP LLM Top 10 for clinical AI features.
AI Engineering ServicesPipeline security gates and infrastructure as code so every environment meets the same baseline.
DevSecOps ServicesThe frameworks your customers, regulators and auditors will ask about, and how we help you meet them.
We deploy workloads, databases, backups and logs in Indian regions on AWS, Azure or Google Cloud and enforce it with policy controls that block resource creation elsewhere. Third-party services that process data are reviewed for their storage locations. Where a vendor cannot guarantee Indian storage, we flag it so your privacy officer can decide, and we document the decision for DPDPA records.
Yes, with the right boundaries. We run models through private endpoints such as Amazon Bedrock, Azure OpenAI or Vertex AI so prompts and outputs are not used for training, strip identifiers before data reaches a model where possible, and log every request. We then test the feature against the OWASP LLM Top 10, including prompt injection and data leakage, before it reaches patients or clinicians.
Typically the patient app and web portal, the APIs used by phlebotomists and lab systems, the admin panels used by staff, and the cloud accounts hosting everything. We look for the failures that expose reports to the wrong patient: broken access control, insecure direct object references, weak session handling and misconfigured storage. Findings are ranked by patient-data impact and re-tested after fixes.
We implement the HIPAA Security Rule technical safeguards on your cloud platform: access control, audit controls, integrity checks, transmission security and encryption. We use the cloud providers' HIPAA-eligible services and help you maintain the documentation your customers request under a business associate agreement. We do not provide legal advice; we work with your counsel on the contractual side.
A 30-minute call with a senior engineer. We look at your setup, name the biggest risks and outline what we would do first.