SOC 2 Compliance Automation

SOC 2 Type I is a point-in-time assessment: an auditor examines your controls at a single date and concludes whether they are suitably designed. Type I answers the question: do these controls exist and are they designed correctly? SOC 2 Type II is an assessment over an observation period, typically 6 to 12 months. An auditor examines evidence that your controls operated continuously throughout the period and concludes whether they are suitably designed and operating effectively. Type II answers the question: did these controls work, consistently, every day, for the full period? Most enterprise customers and procurement teams require Type II because it demonstrates the controls actually operate rather than just existing on paper. Type II is significantly harder to prepare for because the evidence requirement is continuous, not a one-time snapshot. Automation is what makes continuous evidence collection practical at scale.

Evidence collection automation connects to the systems your controls depend on and pulls proof of control operation on a defined schedule. For access control evidence: user access logs from Okta or Azure AD, privilege escalation logs, and quarterly access review records. For change management evidence: pull request approvals and code review records from GitHub or GitLab, deployment logs with approver information, and change ticket records. For configuration management evidence: AWS Config snapshots, infrastructure-as-code state, and security baseline compliance checks. For availability evidence: uptime monitoring records, backup job completion logs, and incident response records. For vendor management evidence: vendor assessment completion records and contract metadata. Each evidence item is stored with its control mapping, collection timestamp, and source metadata. Gaps, missing evidence, failed collection jobs, or controls that have not been checked, surface automatically rather than being discovered by the auditor.

Vanta, Drata, and Tugboat Logic are excellent products for standard control frameworks with typical SaaS infrastructure. If your infrastructure is primarily AWS or GCP, your team uses common SaaS tools the platform integrates with, and your control set follows the standard TSC framework, these platforms will likely serve you well at a lower total cost than custom development. Custom automation makes sense in three situations: your infrastructure includes systems the standard platforms do not integrate with, on-premises servers, custom internal tools, proprietary databases, and the gap requires significant manual evidence collection regardless. Your compliance workflows need to be embedded in your existing internal tools rather than managed through a separate platform. Or your organisation has compliance requirements that go beyond the standard SOC 2 TSC framework, industry-specific controls, custom control families, or multi-framework requirements that the platforms do not handle cleanly. We will tell you honestly during discovery whether a standard platform or custom automation is the better fit for your situation.

A first evidence-automation module starts around $25,000, and the full platform grows to $70,000 over time. Start small: an automated evidence collection pipeline covering the most time-consuming controls (access management, change management, availability monitoring), a basic policy management portal, and an evidence library UI for auditor access. Expand from there to full evidence collection across all TSC categories, continuous control monitoring with alerting, full policy management with acknowledgment workflows, vendor assessment automation, and a compliance dashboard for ongoing visibility. Cost is driven primarily by the number of system integrations required (each connected tool, AWS, Okta, GitHub, Jira, third-party SaaS, adds integration development effort) and the scope of the policy and vendor workflow requirements. We scope the engagement during a discovery phase that assesses your control framework, connected systems, and current manual process.