SOC 2 automation that watches the code, not just the calendar.
Zairen tracks the Trust Services Criteria continuously and surfaces gaps before your assessor does - across security, availability, and confidentiality.
Trust Services Criteria, mapped continuously
Security, availability, processing integrity, confidentiality, and privacy criteria are tracked against live evidence from your connected tools and codebase, not a pre-audit evidence sprint.
Built for Type II
Type II reporting depends on evidence held over a period, not a point in time. Zairen's continuous evidence collection is built for exactly that: proof that controls operated consistently across the observation window.
Code-aware, not just config-aware
Where a criterion depends on how the application itself is built - access enforcement, encryption, logging - static analysis checks the code directly and maps findings to the relevant TSC.
Close gaps before the assessor arrives
Failing controls are surfaced with prioritized, plain-language remediation guidance, so gaps get closed on your timeline instead of during the audit.
Do you support SOC 2 Type II specifically?
Yes – the continuous evidence model is designed for the sustained observation period Type II reporting requires.
How does this differ from a general GRC tool?
Zairen's static analysis reads your actual codebase, not just cloud configuration, so evidence reflects what the application does, not just what the infrastructure is set to allow.
Which Trust Services Criteria are covered?
Security, availability, and confidentiality are covered today. Processing integrity and privacy controls are on the roadmap and can be tracked manually in the meantime.
What does "continuous evidence" mean for SOC 2?
Evidence is collected on a schedule from your identity, cloud, and security tools, so controls stay backed by current proof during the entire Type II observation window. See SOC 2 automation: what continuous evidence means.
How do we close failing controls before the auditor sees them?
Failing controls are surfaced with prioritized, plain-language remediation guidance, each mapped to the TSC it satisfies. Learn how AI remediation turns a failing control into a merged PR.