Comp AI vs Drata

Last updated October 2026

Choosing a compliance automation platform can define how much time your team spends on audits, evidence collection, and policy management for years to come. Two platforms that consistently surface in buying conversations are Comp AI and Drata. They share a goal of reducing the manual grind of frameworks like SOC 2, ISO 27001, and HIPAA, but they arrive at that goal from different starting points.

Comp AI launched in early 2025 and built its platform around AI agents and an open source core. It positions itself as the faster, more transparent option for startups that want to reach audit readiness without a drawn-out implementation cycle. Drata has been in the market longer, has a larger customer base, and offers a broad feature set that scales from single-framework startups to enterprises juggling dozens of regulatory requirements across multiple business units.

This comparison breaks down how each platform works, what it costs, where it falls short, and how to decide between them.

Comp AI

Comp AI is an AI-native compliance platform built on an open source foundation. Its core codebase is licensed under AGPLv3, which means organizations can self-host the platform and inspect its internals. The managed (hosted) version layers AI-driven automation, bundled audits, and support on top of that open source base.

How it works

Comp AI connects to your existing infrastructure through integrations with cloud providers, identity platforms, code repositories, and other tools in your stack. Once connected, AI agents collect evidence that your controls are operating as expected, pulling configuration data and audit artifacts without requiring manual screenshots or spreadsheet exports. The platform then generates policies tailored to your environment, risk tolerance, and target frameworks rather than handing you a library of generic templates to fill in.

When the system determines your controls are in place and evidence is sufficient, it flags you as audit-ready. An independent CPA firm performs the audit and issues the report. Comp AI claims that SOC 2 Type I audit readiness can be reached in as little as 24 hours for organizations with mature security practices, though a Type II report still requires an observation window of several months regardless of tooling.

Key features

Comp AI supports SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, FedRAMP, and ISO/IEC 42001 (the AI management system standard). The platform reports 580 or more integrations across cloud infrastructure, SaaS tools, HR systems, and developer platforms.

AI-generated policies are a central differentiator. Rather than starting from boilerplate, the system produces policies informed by your actual environment. Evidence collection runs continuously, so compliance posture stays current between audit cycles rather than degrading until the next renewal push. The open source model provides transparency into how evidence is gathered and how controls are evaluated, which can simplify conversations with auditors who want to understand what the tool is doing under the hood.

Comp AI also bundles the audit and penetration test into its managed pricing, rather than treating them as separate line items that arrive after you have already committed to the platform.

Pricing

Comp AI does not publish fixed pricing. The self-hosted open source version is free to deploy, though you take on hosting, maintenance, and operational overhead yourself. The managed platform is quote-based, with third-party estimates placing entry-level plans around $199 per month for smaller teams on a single framework, and enterprise engagements in the range of $20,000 to $80,000 per year depending on company size, number of frameworks, and scope. The bundled audit and penetration test are included in the managed price, which can make headline comparisons with competitors misleading if those competitors quote platform fees alone.

Limitations

Comp AI is a young company, founded in January 2025. Its G2 review base is still modest at roughly 70 reviews, and some users have noted a learning curve during initial setup. The integration library, while growing, is smaller than what Drata offers. The enterprise feature set is still maturing, and organizations with highly customized governance, risk, and compliance workflows may find the platform less flexible than more established alternatives. Self-hosting removes the subscription cost but introduces real operational burden: you own backups, upgrades, TLS configuration, and uptime, and auditors still expect the same rigor regardless of how you run the tool.

Drata

Drata is one of the most widely adopted compliance automation platforms on the market, serving organizations from early-stage startups to large enterprises. It takes a broad approach to compliance, offering deep configurability, a large integration library, and features designed for multi-framework, multi-business-unit environments.

How it works

Drata connects to your infrastructure and continuously pulls evidence that maps to your selected compliance framework requirements. The platform automates roughly 85 percent of evidence collection across integrated environments, according to its documentation. You configure controls in a central dashboard, and Drata monitors whether those controls are met on an ongoing basis. When gaps appear, the platform raises alerts and tracks remediation. For device-level evidence like disk encryption and screen lock status, Drata deploys an endpoint agent to employee machines.

Drata does not perform audits itself. Once the platform shows you are ready, you engage a third-party audit firm separately. Drata maintains partnerships with several audit firms and can facilitate introductions, but the audit cost is not included in the platform subscription.

Key features

Drata supports SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, and a growing list of additional frameworks. The platform offers more than 100 native integrations across cloud providers (AWS, Azure, Google Cloud), identity providers (Okta), code repositories (GitHub), endpoint management (Jamf), and security tools (CrowdStrike), among others.

Compliance-as-Code is a notable capability that lets teams define control requirements in version-controlled YAML files, review changes through pull requests, and integrate compliance checks into CI/CD pipelines. The risk management module connects risks to specific controls and raises alerts when linked controls fail. Drata's Trust Center lets organizations publish their compliance status and certifications to customers and prospects, which can accelerate sales cycles that stall on security questionnaires.

Cross-framework mapping reduces duplication by allowing a single control to satisfy requirements across multiple frameworks. The Workspaces feature, available on the Enterprise tier, supports organizations that need to segment compliance programs across business units, subsidiaries, or product lines.

Pricing

Drata's pricing is entirely quote-based with no self-serve option. Third-party data from 2026 places the median annual contract around $38,000, though actual costs vary widely. The Foundation edition, which covers one pre-mapped framework, runs an estimated $10,000 to $25,000 per year. The Advanced edition, which adds multi-framework support and expanded customization, lands between $22,000 and $75,000. The Enterprise edition, with the full framework suite, Workspaces, and advanced features, ranges from $55,000 to $175,000 per year.

Additional costs can accumulate. Framework add-ons run $3,000 to $10,000 each per year. Implementation services range from $5,000 to $25,000. User Access Review and other modules carry their own annual fees. The external audit, which is not included, typically costs $8,000 to $40,000 or more depending on scope and framework. Renewal increases of around 8 percent are standard, though multi-year commitments and competitive quotes can reduce that.

Limitations

Drata does not generate policies or assessments. It provides templates and a framework to organize your documentation, but you write and maintain the policies yourself or hire a consultant to do so. The platform is powerful but complex, and smaller teams without dedicated compliance staff may face a steep learning curve, particularly when building custom controls. The endpoint agent can create friction during rollout if employees are not clearly informed about what data it collects. Pricing is opaque, and the combination of platform fees, add-ons, implementation, and separate audit costs can push total cost of ownership well beyond the initial quote.

Comparison table

How to choose

If speed to first audit matters most, Comp AI's AI-driven approach and bundled audit make it the more streamlined path. The platform is designed to compress the timeline between signing up and receiving your report, and the all-in pricing removes the step of sourcing and negotiating with a separate audit firm.

If you need deep configurability and a proven track record, Drata's maturity and breadth give it an edge. The Compliance-as-Code workflow appeals to engineering-led teams that want compliance logic living alongside application code. Workspaces, the risk management module, and the Trust Center reflect years of iteration on enterprise requirements that Comp AI has not yet had time to match.

If budget is a primary constraint, Comp AI's open source option is worth evaluating. Running the platform yourself eliminates the subscription cost entirely, though it introduces operational overhead. For organizations that already manage their own infrastructure, the trade-off can be favorable. Drata has no free or self-serve tier.

If you are scaling across many frameworks and business units, Drata's cross-framework mapping and Workspaces are purpose-built for that scenario. Comp AI supports multiple frameworks but has not yet demonstrated the same depth of multi-entity, multi-region compliance management.

If transparency in how controls are evaluated matters, Comp AI's open source core lets you inspect and audit the platform's logic. Drata is a closed-source SaaS product, which means you rely on its documentation and your auditor's comfort with the tool rather than direct code inspection.

If you want a single vendor for platform, audit, and penetration testing, Comp AI bundles all three. With Drata, you manage those relationships separately, which offers more flexibility in choosing your auditor and pentester but adds procurement and coordination overhead.

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Frequently asked questions

What is the main difference between Comp AI and Drata?

Comp AI is an AI-native platform that generates policies, collects evidence using AI agents, and bundles the audit and penetration test into its pricing. Drata is a more established compliance automation tool that focuses on continuous monitoring and evidence collection but relies on templates for policies and requires you to engage a separate audit firm. Comp AI also offers an open source, self-hosted option that Drata does not.

Is Comp AI open source?

Yes. Comp AI's core platform is licensed under AGPLv3, and roughly 99 percent of the codebase is publicly available. You can self-host it for free, though some enterprise features fall under a separate commercial license. The managed (hosted) version adds support, bundled audits, and additional services on top of the open source base.

Does Drata include the cost of a SOC 2 audit?

No. Drata's pricing covers the platform subscription only. The SOC 2 audit is performed by a third-party firm that you engage and pay separately. Audit costs typically range from $8,000 to $40,000 or more depending on the scope and type of report. Drata can introduce you to partner audit firms but does not bundle the cost.

Which platform is cheaper for a startup?

Comp AI is generally less expensive for startups. Its open source version is free to run if you handle hosting yourself, and its managed plans start at an estimated $199 per month for smaller teams. Drata's Foundation tier starts at an estimated $10,000 to $25,000 per year, and the separate audit cost adds to the total. When comparing, account for the fact that Comp AI's managed pricing includes the audit while Drata's does not.

Can Comp AI handle ISO 27001 compliance?

Yes. Comp AI supports ISO 27001 alongside SOC 2, HIPAA, GDPR, PCI DSS, FedRAMP, and ISO/IEC 42001. The platform's AI agents collect evidence and generate policies mapped to ISO 27001 controls, and the bundled audit covers the certification process.

Does Drata support HIPAA compliance?

Yes. Drata supports HIPAA as one of its available frameworks. The platform maps your controls to HIPAA requirements, automates evidence collection, and monitors for gaps. As with its other frameworks, the audit or assessment is conducted by a separate third-party firm.

Which tool has more integrations?

Comp AI reports over 580 integrations, while Drata offers more than 100 native integrations. The raw count favors Comp AI, but the depth and quality of individual integrations matter more than the total number. Check whether each platform supports the specific tools in your stack before making a decision based on integration counts alone.

Can I self-host Drata?

No. Drata is a cloud-only SaaS platform with no self-hosted option. If self-hosting is a requirement for your organization, whether for data residency, regulatory, or cost reasons, Comp AI is the only one of these two platforms that supports it.

How long does it take to get SOC 2 certified with each platform?

Comp AI claims that organizations with mature security practices can reach SOC 2 Type I audit readiness in as little as 24 hours, though the audit itself and any remediation take additional time. A Type II report requires an observation window of at least three months regardless of which platform you use. Drata does not make specific timeline claims, and implementation timelines vary based on your existing security posture and team bandwidth. Most organizations using either platform should plan for several weeks to a few months for a Type I and six months or more for a Type II.

Does Comp AI offer a money-back guarantee?

Comp AI has referenced a money-back guarantee on audit outcomes, though the specific terms and conditions are not publicly documented in detail. If this is a deciding factor, ask their sales team for written confirmation of what the guarantee covers, any exclusions, and the process for claiming it.

Which platform is better for enterprise organizations?

Drata has more mature enterprise features, including Workspaces for managing compliance across multiple business units, a dedicated risk management module, Compliance-as-Code for engineering-led teams, and a Trust Center for customer-facing security communications. Comp AI is still building out its enterprise capabilities. Large organizations with complex governance structures, custom workflows, or multi-entity requirements will likely find Drata's feature set more complete today.

Do either of these platforms replace the need for a compliance team?

Neither platform eliminates the need for human judgment and oversight. Both automate evidence collection and reduce manual work, but someone on your team still needs to understand your regulatory obligations, review generated policies, remediate gaps, and work with auditors. Comp AI's AI-driven policy generation reduces some of that burden, but compliance accountability remains with your organization.