Compliance, rebuilt for the AI era

AI-Native Compliance

Legacy GRC platforms were built before AI — a dashboard of red checkboxes and a mountain of manual work left to you. Strac Comply is what the category looks like rebuilt: the AI collects your evidence, maps one control to every framework, and when a test fails, it writes the fix — with a human in the loop.

The whole loop is AI-native

Not AI bolted onto a checklist. Every stage — from discovery to the audit binder — is run by AI, with you in control at each step.

1Discover

The platform connects to your cloud and SaaS and maps what you have to the controls each framework requires — one control set behind SOC 2, ISO 27001, PCI DSS, HIPAA and more.

2Collect

Integrations pull the first ~70% of evidence automatically; the AI Evidence Agent captures the last mile — the admin-console screenshots and one-off artifacts a connector can’t reach.

3Evaluate

An AI assessment runs continuously across every connected system, grades each control, and shows exactly which tests pass, which fail, and why — no annual scramble.

4Remediate

When a test fails, AI writes the fix — a step-by-step remediation grounded in the actual finding. A human reviews and applies it. (This is the part legacy tools leave entirely to you.)

5Prove

Evidence is pinned and versioned into an audit binder your auditor reviews through a portal — and your AI agent can read and write it over MCP.

The part legacy tools skip

When a test fails, AI writes the fix

Every other platform tells you a control is red and stops. Finding the fix — reading the finding, figuring out the exact change, writing the runbook — is left to your engineers. That’s the work. We give it to the AI, and keep you in control.

It reads the actual failure

The AI works from the real finding — the specific misconfiguration on the specific resource — not a generic knowledge-base article. The fix fits your environment.

It writes a step-by-step remediation

You get an exact runbook: what to change, where, and why it satisfies the control — so an engineer can act in minutes instead of researching for an afternoon.

Your data never leaves in the clear

Account IDs, ARNs, IPs and principals are redacted before anything reaches the model, then filled back in server-side. AI helps fix your cloud without seeing its secrets — from a company whose day job is data security.

A human stays in the loop

The AI proposes; a person reviews and applies. Nothing changes your infrastructure automatically. Your auditor sees a clean, defensible trail — not a black box.

The point of “human in the loop” isn’t caution for its own sake. Compliance is a chain of custody an auditor has to trust — so the AI does the heavy lifting, and a human owns the decision. You move at AI speed without handing your controls to a machine.

AI everywhere the work is

AI Evidence Agent

Captures the last-mile evidence connectors can’t — timestamped, audit-grade. See it.

Headless compliance (MCP)

Your AI agent reads and writes compliance data — and migrates your whole program from another platform in one command. How it works.

AI questionnaire answers

Security questionnaires answered from your live evidence, learning from every approved response.

Continuous pen testing

Native and continuous — findings flow straight into your evidence binder, not a once-a-year PDF.

Shadow-AI discovery

See which AI tools and agents touch sensitive data, and protect it — the control and the evidence in one.

One control, every framework

Map once, satisfy SOC 2, ISO 27001, PCI DSS and HIPAA at once.

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One flat price for AI-native compliance and the security modules. We'll email you the number and a free readiness assessment — no call required.

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See compliance run AI-native

A 30-minute walkthrough — including AI writing a real remediation for a failing control. Built by ex-Amazon security engineers, backed by Y Combinator.

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