Ship healthcare software without the compliance drag

Digital health teams use Aptible to deploy PHI workloads with 100% of HIPAA infrastructure controls enforced by default

Ship healthcare software without the compliance drag

Digital health teams use Aptible to deploy PHI workloads with 100% of HIPAA infrastructure controls enforced by default

Ship healthcare software without the compliance drag

Digital health teams use Aptible to deploy PHI workloads with 100% of HIPAA infrastructure controls enforced by default

"Our team can have confidence that if you're building inside of Aptible, all those HIPAA boxes are checked. You don't have to confirm anything when deploying inside of Aptible. That's a huge win."

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What goes wrong in digital health

The moment PHI enters your system, youโ€™re operating under HIPAA

Early infrastructure decisions become compliance liabilities, causing teams to spend months on rework. These are the five failure modes we see most frequently.

PHI shows up where it shouldnโ€™t

Logs and analytics become the leak. A โ€œhelpfulโ€ debug line captures patient name + DOB, a failed webhook payload lands in an error tracker, or an analytics event includes a diagnosis code. Now your telemetry is regulated data.

PHI shows up where it shouldnโ€™t

Logs and analytics become the leak. A โ€œhelpfulโ€ debug line captures patient name + DOB, a failed webhook payload lands in an error tracker, or an analytics event includes a diagnosis code. Now your telemetry is regulated data.

Non-prod becomes in-scope

Staging turns into production. A support escalation needs โ€œa real example,โ€ so someone copies a production row into staging. A demo environment quietly keeps real patient data because โ€œweโ€™ll delete it later.โ€ It rarely gets deleted.

Access expands and never retracts

โ€œTemporary adminโ€ becomes permanent. A contractor gets broad access for a migration. A break-glass key gets shared in Slack during an incident. A CI token that can read everything stays alive long after the fire is out.

Documentation drifts from reality

Docs say one thing, infra does another. The security policy says โ€œleast privilege,โ€ but IAM roles are wide because tightening them breaks deploys. The runbook says โ€œlogs retained,โ€ but retention depends on a tool nobody owns.

Customer security reviews force archaeology

Youโ€™re asked to prove, not promise. Buyers ask: โ€œShow me who accessed production,โ€ โ€œHow long are logs retained,โ€ โ€œWhat changed last week,โ€ โ€œWhere does PHI go,โ€ โ€œWhatโ€™s your incident process.โ€ Deals stall or fail because teams canโ€™t produce complete, attributable evidence on demand.

Why things break in digital health

Infrastructure tools werenโ€™t designed for digital health teams

Why things break in digital health

Infrastructure tools werenโ€™t designed for digital health teams

DIY cloud spreads controls across everything

Audit logging, retention, encryption, and network rules each live in different places, owned by different people, and break differently when architecture changes.

DIY cloud spreads controls across everything

Audit logging, retention, encryption, and network rules each live in different places, owned by different people, and break differently when architecture changes.

Generic PaaS optimizes for speed, not audit readiness

You can ship fast with Heroku and Render, but when a customer asks you to prove isolation or explain your retention policies, you may struggle to show the underlying behavior.

Generic PaaS optimizes for speed, not audit readiness

You can ship fast with Heroku and Render, but when a customer asks you to prove isolation or explain your retention policies, you may struggle to show the underlying behavior.

Compliance tooling tracks tasks, not behavior

Checklists donโ€™t enforce controls. You can mark a control as โ€œdone,โ€ but environments still drift, permissions widen, and retention settings expire.

Compliance tooling tracks tasks, not behavior

Checklists donโ€™t enforce controls. You can mark a control as โ€œdone,โ€ but environments still drift, permissions widen, and retention settings expire.

How Aptible works

Compliance without the operational overhead

Aptible gives digital health teams compliant infrastructure from day one without the AWS operational drag. The default guardrails persist as architecture evolves without a new round of bespoke AWS work every time.

How Aptible works

Compliance without the operational overhead

Aptible gives digital health teams compliant infrastructure from day one without the AWS operational drag. The default guardrails persist as architecture evolves without a new round of bespoke AWS work every time.

Compliance inheritance
Isolation
Role-based access
BAA-backed operations
PHI-safe observability

HIPAA + HITRUST inheritance

Inherit infrastructure controls aligned to regulated workloads, including HITRUST R2โ€“certified controls at the platform level.

  • HIPAA + HITRUST inheritance

    Inherit infrastructure controls aligned to regulated workloads, including HITRUST R2โ€“certified controls at the platform level.

  • Dedicated, non-shared environments

    Your production database isnโ€™t running next to another companyโ€™s workload where a neighborโ€™s misconfiguration, noisy spike, vulnerability, or incident could become your problem.

  • RBAC that holds up during audits

    Access is role-based, tied to real identities and aligned to least privilege so you can show who can deploy, who can access databases, and who can view logs without sharing admin access.

    role

    members

    Admin

    Full visibility

    deployment

    Account Owners

    3

    Deploy Owners

    12

    Experimental

    4

    Billing-Only

    2

    Dev Access

    12

    Marketing Site

    3

  • BAA-backed operations and clear responsibility boundaries

    Aptible enforces infrastructure controls and produces evidence automatically. When a customer asks for audit trails, retention, access controls, you can point to platform-enforced behavior and a clean division of responsibility.

    Customer

    Aptible

    Application-level controls

    Role-based access controls

    Web app vulnerability scanning

    Container recovery

    Web app dependency management

    Managed VPNs

    Protection of credentials, tokens, secrets

    HIPAA controls

    End-to-end encryption in transit

    Network and host vulnerability scans

    Multi-factor authentication

  • PHI-safe observability

    Keep logs and metrics in compliant infrastructure, even when telemetry may contain PHI. Integrate with Datadog, ELK, or S3 when you're ready, with a clear inventory of where data flows.

    1 Log Drain

    Status

    handle

    Last updated

    Sources

    provisioned

    dashboard-logs

    Datadog

    Jan 9, 2026 12:24:18 UTC

    1 Metric Drain

    Status

    handle

    Last updated

    Sources

    provisioned

    dashboard-analytics

    InfluxDB

    Jan 12, 2026 11:04:32 UTC

Compliance inheritance
Isolation
Role-based access
BAA-backed operations
PHI-safe observability

HIPAA + HITRUST inheritance

Inherit infrastructure controls aligned to regulated workloads, including HITRUST R2โ€“certified controls at the platform level.

Use Cases

How digital health teams use Aptible

Use Cases

How digital health teams use Aptible

Deploy PHI workloads

Run apps, databases, and AI with encryption, isolation, access logging, and least-privilege IAM enforced by default.

Add services safely

Introduce new apps, workers, databases, or AI endpoints without redefining network boundaries, rewriting IAM, or rebuilding your logging model.

Produce audit artifacts

Export access history, change events, backup posture, and retention settings directly from the platform.

Pass security reviews

Answer diligence questions about PHI flow, isolation, access, and incident response without re-architecting your stack.

aptible vs aws diy

What compliant deployment actually requires in digital health

The difference between deploying directly on AWS and deploying with compliant infrastructure on top of AWS is who owns the guardrails around PHI.

Deploying directly on aws

Hardened infrastructure maintained for you

Harden and maintain the base OS

Least-privilege access model built in

Design and maintain IAM roles that reflect real operational access

Network isolation enforced by default

Design VPC botundaries and enforce environment isolation

Encryption configured automatically

Configure TLS and encryption for databases and backups

Centralized, reviewable activity logging built in

Set up CloudTrail and verify audit coverage

Logging and retention aligned with compliance requirements

Define log retention and prevent PHI from leaking into telemetry

Encrypted backups with defined retention built in

Design and test backup and restore strategy

Continuous monitoring and scanning included

Implement vulnerability scanning and monitoring

FAQs

Can we start building before we're ready to process PHI?

Yes. You can build and test on the Development plan with non-PHI environments, then move regulated apps and databases to a dedicated stack with an executed BAA before handling PHI.

Aptibleโ€™s HIPAA documentation recommends that if you know youโ€™ll process ePHI, you should host on a dedicated stack from day one, since every resource there meets HIPAAโ€™s required specifications by default. Support can migrate existing resources from a shared to a dedicated stack.

If youโ€™re prototyping AI workflows, the LLM Gateway security and compliance model has separate BAA coverage and doesnโ€™t require a dedicated stack.

Can we keep some services in AWS, S3, or external AI tools?

Yes. You could host apps and databases on Aptible, with S3, analytics, AI vendors, or other AWS services alongside, connected through VPC peering or a site-to-site VPN on a dedicated stack.

Any of those services that handles PHI needs appropriate controls and contracts of its own. For AI specifically, the LLM Gateway can centralize provider access and compliance controls under one BAA instead of negotiating with each provider. For private access patterns, Aptible also documents integrations such as Twingate.

What do our customers and auditors get as proof of infrastructure compliance?

From your own dashboard: a Shareable Compliance Posture Report, a print-friendly PDF showing how each control is implemented against the resources in scope, honoring whatever environment and control filters youโ€™ve applied.

You also get Activity Reports, which export every operation in an environment, including operations on resources since deleted.

From Aptible: the SOC 2 Type 2 Report, Penetration Test Summary, HITRUST CSF Letter of Certification and Validated Assessment Report, and the PCI DSS Service Provider Level 2 attestation are available through trust.aptible.com after e-signing an NDA. Aptibleโ€™s Security & Compliance overview summarizes available compliance evidence, and Aptibleโ€™s HITRUST shared responsibility matrix is published through the HITRUST Alliance.

You can also add a Secured by Aptible badge linking to the implemented controls.

Which of our telemetry destinations are in scope for PHI?

Treat any destination that receives PHI as in scope for your compliance program. If your app processes PHI, PHI may appear in application logs, SSH session logs, analytics events, traces, or AI prompts and responses unless your team actively prevents it.

Keep telemetry that may contain PHI inside Aptibleโ€™s compliant infrastructure, or send it only to vendors with appropriate contractual coverage, including a BAA where required.

For AI workflows, Aptibleโ€™s LLM Gateway keeps requests, responses, and audit logs inside compliant infrastructure under one BAA. Gateway providers are contractually prohibited from retaining or training on your data, and Aptibleโ€™s LLM Gateway audit logging documentation explains retention and retrieval.

How do we keep staging and other non-production environments out of scope?

Donโ€™t put PHI in staging or development. Use synthetic, anonymized, or de-identified data, and keep production and non-production in separate environments. Our guide to isolating staging and production compares the three common models and when each makes sense.

Shared stacks are built for development, testing, and staging and cannot hold regulated data. Aptible also recommends a leaner backup retention policy for non-production: 1 to 14 daily backups, no monthly or yearly, no cross-region copies, no final backups.

Can't find an answer to your question? Contact us for help

Canโ€™t find an answer to your question? Contact us for help

Keep shipping. Safety happens automatically.

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Keep shipping. Safety happens automatically.

Deploy in minutes.