Comp AI is one of the better things to happen to the compliance space recently. Fully open-source. Modern design. 580+ integrations. 700+ customers. A trust center you would actually want to show prospects. It earned its reputation.
We mean that.
So why are we on this page? Because there is one architectural choice that separates how these tools work, and for a first-time SOC 2 on AWS, it changes the relationship with your auditor before the first kickoff call.
The core difference
Comp AI is a full compliance platform. Evidence collection across 580+ integrations, policy generation, device monitoring, automated penetration testing, live trust center. All-in-one. Impressive scope.
Loxe is purpose-built for AWS-native teams doing their first SOC 2. It goes 25 services deep on your AWS infrastructure, produces signed auditor-ready evidence, lets you build and run your own custom checks, and ships with Gideon: a SOC 2 co-pilot trained on your data that handles everything the scan does not automate.
Comp AI goes wide. Loxe goes deep on the AWS evidence layer that breaks most first audits, and Gideon carries the rest.
What Gideon covers beyond the scan
The scan is the start. After your evidence is collected, there is still a real amount of SOC 2 work that is not infrastructure: your policies need to be written, your HR controls need to be documented, your vendor risk assessments need to exist, your remediation steps need to be drafted before your auditor's first review.
Gideon is trained on your data, your scan findings, and your specific environment. Ask it to draft your incident response policy from scratch. Ask it to help you close the HR controls gap the scan surfaced. Ask it to walk you through what a vendor risk assessment looks like for a payment processor you recently added. Ask it what CC9.2 means for your architecture and what you need to do about it.
It reads your situation and responds to it. It is not a generic compliance template engine. It knows what you have and what you still need.
The custom controls difference
Comp AI has a compelling take on custom tests. You describe what you want to check, an AI agent opens a browser, verifies the control, and screenshots the result. Creative approach. Works for many controls.
The tradeoff: the AI is in the evidence loop. For AWS infrastructure evidence in a SOC 2 audit, that introduces a layer your auditor has to trust. The model browsed. The model screenshotted. The model decided what passed.
Loxe's custom controls work differently. Describe the check in plain English. Gideon drafts it. But Gideon's role stops at translation. It can only map your intent to a pre-approved check type and parameter set. Evidence collection, evaluation, and pass/fail are always handled by deterministic code. Your auditor receives a signed artifact from an API call that ran a fixed rule.
Comp AI Custom Test
Loxe Custom Control
What that means for your auditor
Most platforms give your auditor a dashboard login or a PDF export. Evidence lives inside the platform.
Loxe gives your auditor a pre-audit readiness report with every evidence item signed, timestamped, and traceable to the exact API call. They can verify it without ever logging into our platform. After the Delve situation, auditors are asking harder questions about where evidence comes from. An auditor who can verify your AWS findings from a signed report independently, before the first kickoff call, moves faster and asks fewer questions.
| Comp AI | LoxeAI | |
|---|---|---|
| Integrations | 580+ (broad, cross-stack) | 25+ AWS services (deep, native) |
| Custom controls | AI browser-agent based | Deterministic, natural language input |
| Model in evidence loop | Yes (agent screenshots) | Model drafts only, code evaluates |
| Evidence traceability | Screenshots, automated collection | SHA-256 signed, API-traceable |
| SOC 2 co-pilot | Slack support + platform | Gideon: policies, HR controls, vendor risk, remediation |
| Open source | Full platform | Core scan logic (OSS) |
| Auditor verification | Platform dashboard | Standalone, independently verifiable |
| Device monitoring | Yes | — |
| Penetration testing | Yes | — |
| Multi-framework | SOC 2, ISO 27001, HIPAA, GDPR | SOC 2 (AWS-native) |
| Deployment speed | Days (onboarding + config) | Under 60 seconds |
| Data ownership | Platform-held | Exportable, delete anytime |
| Starting cost | Contact for pricing | $349 (design partner) |
When Comp AI makes more sense
Multi-cloud or not AWS-native. Need ISO 27001, HIPAA, or GDPR alongside SOC 2. Want an all-in-one platform with a live trust center and Slack support. Series A+ with compliance budget to match. Comp AI is a serious platform and worth the investment at that stage.
When Loxe makes more sense
AWS-native. 1-30 employees. First SOC 2. You want signed, independently verifiable infrastructure evidence before your first auditor call. You want Gideon to handle the policies, HR controls, and everything else that is not automated. You want your custom checks to produce deterministic, signed artifacts.
Or you are already on Comp AI and want your AWS evidence layer to be independently verifiable. Loxe and Comp AI can coexist.