Security, governance, and compliance

From HIPAA-ready architectures to audit trails and PHI-safe workflows — we build systems that survive real-world scrutiny.
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What this Means at Light-it

At Light-it, security, compliance, and governance are integrated directly into how we design and deliver solutions, not added later.

SDLC (Secure Software Development Life Cycle)

We embed security and compliance controls across the entire development lifecycle to prevent PHI exposure, audit failures, and costly rework before they happen. This includes rigorous, PHI-aware code reviews, strict secrets management policies that ensure sensitive data never reaches logs, fully isolated environments across dev, staging, and production, and deployment pipelines designed to be audit-ready, with complete traceability and compliance evidence built in by default.

Regulatory-Aware Product Strategy

We don’t treat compliance as a checkbox exercise, we design products that naturally operate within regulatory constraints. This means clearly defining what constitutes PHI and how it flows across the system, understanding when regulations like HIPAA actually apply, and shaping product scope early to avoid building features that will later require costly rework or introduce risk. Instead of “doing compliance” at the end, we ensure the product is designed from day one to not break it.

Risk-First Architecture

We intentionally design data flows, integrations, and access models to ensure resilience, traceability, and protection of sensitive information. Every architectural decision is evaluated through a risk lens from the outset — including threat modeling, least-privilege access controls, encryption at rest and in transit, and clear data residency boundaries. This means that when audits or incidents occur, the system is already built to respond, not retrofitted under pressure.

Governance Embedded in Delivery

Clear ownership, documentation standards, and change management practices are part of how we operate, supporting long-term system integrity. We define accountability at every layer of the delivery process — from code ownership and review gates to release approvals and incident response protocols. Governance isn't a separate workstream; it's woven into our day-to-day engineering culture, ensuring that nothing ships without the appropriate visibility, sign-off, and audit trail in place.

Real-world examples

We’ve built and operated systems where compliance, AI, and sensitive data handling are not theoretical concerns, they are core architectural constraints.
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CompliantChatGPT

A multi-provider AI platform designed for healthcare use cases, integrating directly with systems like Healthie while running proprietary models in a controlled environment. The infrastructure supports both in-house models and external providers (AWS, GCP), ensuring PHI never leaves approved boundaries and that every interaction is governed, auditable, and compliant by design.

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Psychnow

involves complex, serverless AI pipelines that process large volumes of sensitive patient data. These pipelines are designed to handle ingestion, transformation, and model interaction at scale, while enforcing strict data governance, isolation, and traceability. In environments where healthcare data pipelines must remain reliable and compliant end-to-end, the architecture itself becomes the control layer for risk, not an afterthought.

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We are Partners and Certified by Market leaders:

We're HIPAA-compliant and have helped healthcare companies achieve SOC 2 certification. We also work closely with leading platforms like AWS, Databricks, Snowflake, and Azure.

partners & TECH STACK

AWS
Google Cloud
Databricks
Snowflake

CERTIFICATIONS & REGULATIONS EXPERTISE

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HIPAA
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SOC2
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GDPR
CCPA
PHIPA & PIPEDA
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Get it right from the start

Security, governance, and compliance shouldn’t be an afterthought. We build them in from day one.

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Our foundations

Trust is built on structure. The way we design, develop, and deliver healthcare technology is grounded in four core pillars that guide every project.These pillars define how we manage risk, protect sensitive information, and support regulated environments, from early discovery through long-term product evolution.

For more details, visit our Trust Center

security

Security is built into our development lifecycle from day one, shaped by real healthcare use cases where sensitive patient data demands strict control and traceability.
We design architectures that keep PHI secure at every step:

  • Role-based access enforcement and encryption in transit and at rest

  • Clinical data structured, timestamped, and locked when finalized

  • Full audit trails to meet integrity and legal standards

  • Data isolation across environments to prevent cross-environment exposure

  • Audit-ready pipelines with end-to-end traceability

This is not security layered on top. It is systems designed to handle clinical data safely by default.

Governance

Effective governance means knowing who is responsible for every data flow.We embed governance frameworks directly into the development lifecycle so decisions align with HIPAA and other healthcare regulations from the start:

  • Continuous risk assessments tied to active development cycles

  • Clear accountability across teams and vendors

  • Managed vendor relationships that reduce third-party exposure

The result: you stay audit-ready while your team stays focused on building.

Compliance

Compliance is built into our architecture, not added as an afterthought.
We implement the right controls at every touchpoint:

  • PHI flow mapping to enforce the "minimum necessary" standard

  • FHIR adoption for interoperability when requirements call for it

  • Strong encryption and key management across all data layers

  • Automated logging and continuous monitoring for audit readiness

We track evolving regulations so your architecture stays compliant without constant rework.

Privacy

Privacy by Design is our operating model, not a policy checkbox.
We apply privacy controls at the architecture level:

  • Collect only what is needed; unnecessary identifiers are suppressed

  • Controls embedded directly into APIs and clinical workflows

  • Role-based access and strong identity safeguards on all records

  • Testing conducted in isolated sandboxes using synthetic or de-identified data

Patient confidentiality is preserved without slowing down development.
Your Vision. Our Execution.
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