Compliance frameworks-SOC 2, ISO 27001, GDPR, HIPAA where applicable-increasingly define what "good" looks like for security and privacy. Technical leaders who treat them as checklists pay in rework and audit risk; those who bake them into platform and process scale more cleanly. The goal is to make compliance a natural outcome of how you build and operate, not a separate track that runs in parallel and creates friction.
Map frameworks to your stack
SOC 2 (Trust Services), ISO 27001 (Annex A), and others overlap heavily: access control, crypto, change management, incident response, asset management. Build a control matrix that maps each requirement to an owner (often platform or security) and to systems (e.g., IdP, CI/CD, SIEM). One control can satisfy multiple frameworks. For example, a well-run access review process can support both SOC 2 and ISO; a solid change management pipeline can feed both. Consolidate where you can so you're not maintaining three versions of the same control.
Keep the matrix living. When you add a new system or change a process, update the matrix so that ownership and evidence sources are always clear. Review it with compliance and security at least annually. When a new framework becomes relevant (e.g., you expand into healthcare and need HIPAA), map it against what you already do before building net-new processes; you may already satisfy much of it.
Evidence by default
Auditors need evidence: logs, screenshots, reports. Design systems so evidence is generated as a side effect of normal operations-access review reports from your IdP, change logs from your pipeline, incident timelines from your ticketing system. Avoid "we'll document it later." If evidence requires someone to remember to export or screenshot something, it will slip. Build dashboards, reports, and exports that run on a schedule or that are generated automatically when the work is done.
Standardize your evidence format where possible. If every team produces access review evidence in a different format, audit prep becomes a nightmare. Define templates, retention periods, and storage locations so that when the auditor asks for evidence, you know exactly where to look. Train the team on what "good" evidence looks like so that the first time they're not learning during the audit.
Third parties and AI
Subprocessors and AI/LLM providers extend your compliance scope. Maintain a vendor list, DPAs, and subprocessor documentation. For AI, clarify data handling (inference, training, retention) and align with your privacy and security policies. SOC 2 and ISO don't go away when you use SaaS or APIs-you're still responsible for how you use them. When you onboard a new vendor or API, run them through the same security and compliance review you'd do for any third party. Document data flows, subprocessor lists, and DPAs so that when customers or auditors ask, you have a clear answer.
For AI/LLM specifically, document what data is sent to which providers, whether it's used for training or only inference, and how long it's retained. Update your privacy policy and internal guidelines so that product and eng know the rules. If you're in a regulated industry or handling sensitive data, consider on-prem or private deployment options and factor them into your architecture decisions. Compliance is not a one-time check; it's part of how you choose and use technology.
Compliance is a feature of your platform. Invest in controls and evidence automation early; it pays off in faster audits and stronger customer trust.