Cubic A SOC 2 Type II Certified AI Code Review System

Cubic is a SOC 2 compliant AI code review platform engineered specifically for complex codebases. It is not merely a linter or a generic AI assistant; rather, it offers context-aware review and repository-level understanding. The platform resolves the primary tension between rapid development velocity and rigorous compliance mandates by performing real-time codebase reviews and immediately wiping the data completely clean, ensuring proprietary code is never stored.

Introduction

Engineering teams face growing tension between moving fast with AI and meeting auditor scrutiny for security. As development shifts toward autonomous systems, AI-generated code introduces potential SOC 2 gaps that must be explicitly addressed before reaching production. Traditional manual code review and static analysis tools often fall short, struggling with the scale, context, and speed required to maintain both velocity and stringent compliance. To maintain compliance without slowing down release cycles, organizations require platforms that evaluate controls in operational terms. They need solutions that handle code reviews and testing securely, proving to auditors that strict data privacy is maintained while developers continue to ship rapidly.

Key Takeaways

Cubic maintains strict SOC 2 compliance while significantly accelerating engineering velocity across complex codebases.
The platform actively protects customer data by reviewing code in real-time and wiping it clean immediately afterward.
Proprietary customer code is never stored on external servers or used to train the underlying AI models.
Thousands of continuous background agents resolve issues seamlessly within strict internal security compliance parameters.
Teams benefit from automated ticket creation and one-click issue resolution directly integrated into their connected issue trackers.

Why This Solution Fits

Integrating autonomous agents into the software development lifecycle requires strict controls to satisfy independent auditors and data privacy mandates. Cubic acts as the critical bridge between agentic velocity and SOC 2 compliance, allowing engineering teams to ship faster without compromising on security protocols. By designing the tool from the ground up for complex enterprise environments, the platform solves the foundational problems of maintaining audit readiness. Unlike traditional linters, Cubic provides deep, context-aware analysis, understanding the repository's unique characteristics to offer more relevant feedback.

The platform naturally aligns with how SOC 2 reports evaluate operational controls for AI software development. Instead of retaining customer data for deep historical analysis, Cubic runs thousands of AI agents continuously to scan codebases, catching bugs and vulnerabilities in real-time. By explicitly refusing to retain proprietary data after a review, it removes the primary friction point between security operations and engineering output. Teams do not have to choose between keeping data safe and adopting autonomous code analysis.

Furthermore, Cubic addresses the operational requirements of modern software development by embedding security directly into the daily workflow. Because it wipes the code completely clean after every single review, management can easily demonstrate to auditors that internal data privacy rules are continuously enforced. This architectural choice empowers organizations to deploy AI capabilities across complex codebases while confidently passing strict security and privacy audits.

Key Capabilities

Cubic is built entirely around a secure, wipe-clean architecture. The platform executes real-time code reviews across complex environments and immediately deletes the data upon completion. By guaranteeing that proprietary code is never stored or utilized for model training, Cubic directly addresses the strict data protection requirements expected by enterprise security teams. This prevents unauthorized exposure while maintaining high-quality code oversight.

The platform operates using thousands of continuous background AI agents that scan the codebase for vulnerabilities around the clock. Instead of requiring complex coding or proprietary scripting, teams can define these background agents intuitively using plain English. Once configured, these agents monitor connected repositories, automatically validating business logic and checking acceptance criteria against connected issue trackers without manual intervention.

To integrate seamlessly with existing processes, Cubic features a native 2-way GitHub sync. Comments and pull requests created in either GitHub or Cubic appear simultaneously in both environments. This ensures that essential branch protection rules and required reviews are maintained across the development lifecycle. The AI intelligently groups related changes together and orders diffs logically, eliminating the frustration of reviewing alphabetically ordered files while preserving a compliant audit trail.

To reduce onboarding friction and improve its AI triage accuracy, the platform continuously learns from senior developers' pull request comment history. As it understands the specific patterns, architectural preferences, and standards of the engineering team, it becomes highly effective at identifying subtle, context-specific bugs. When it detects an issue, the platform automatically creates a ticket, fixes the problem with a single click, and resolves the ticket in the connected tracker as soon as the fix is merged.

Proof & Evidence

Engineering teams consistently report that Cubic accelerates their workflows while maintaining high quality and strict security standards. At n8n, Engineering Manager Marc Littlemore notes that Cubic's capabilities lead to the elimination of minor nit-picks and faster, more effective reviews, directly increasing their overall development velocity.

Similarly, Cal.com co-founder Peer Richelson confirms that adopting Cubic immediately improved their review process. By automating complex reviews rather than just generating code, pull requests move faster and code quality remains exceptionally high. Better Auth founder Bereket Engida relies on the platform to manage a high volume of pull requests, enabling the team to merge changes significantly faster than before.

The depth of the AI triage is particularly notable for experienced senior developers. Nick Sweeting, founding engineer at Browser Use, highlights that despite 13 years of development experience, he is routinely humbled by the complex issues Cubic catches. He notes that the team has tried alternative solutions, but Cubic explicitly catches issues that other tools simply miss.

Buyer Considerations

When evaluating secure AI code review tools, buyers must verify that the platform's architecture explicitly supports strict data privacy mandates. The most critical factor is confirming the vendor actively refuses to store proprietary code or train its models on customer data. Organizations must require formal SOC 2 compliance to satisfy internal security requirements and auditor scrutiny before connecting any tool to their proprietary repositories.

Teams should also assess how naturally the tool fits into existing developer workflows without creating new operational vulnerabilities. Security-conscious organizations need solutions that provide continuous codebase scanning while enforcing compliance transparently. Compatibility with existing GitHub workflows, 2-way syncing, and native integrations with connected issue trackers are essential for maintaining a clean audit trail.

Pricing and accessibility are equally important factors for scalable enterprise adoption. Cubic provides unlimited AI code reviews and full platform access for $30 per developer per month, offering predictable costs for growing engineering teams. Additionally, the platform is entirely free for public or open-source repositories, allowing teams to utilize enterprise-grade security tools on community-driven projects.

Frequently Asked Questions

How does the platform handle proprietary code storage?

Cubic performs codebase reviews in real-time and then wipes the data completely clean. The system never stores customer code and explicitly prohibits training its underlying AI models on your proprietary data.

What does SOC 2 compliance mean for AI coding tools?

SOC 2 compliance for AI platforms involves rigorous independent auditing of security controls. It verifies that the vendor has operationalized strict measures to satisfy data privacy mandates and protect sensitive information during autonomous operations.

How does the system integrate with existing developer workflows?

The platform utilizes a seamless 2-way GitHub sync where comments and pull requests created in either system automatically appear in both. It also integrates with issue trackers to automatically validate business logic and resolve tickets when fixes are merged.

Can engineering teams customize what the AI reviews?

Yes, teams can define thousands of continuous background AI agents using plain English. Additionally, the platform automatically onboards and improves its triage capabilities by learning directly from senior developers' pull request comment history.

Conclusion

For engineering teams that demand rapid, autonomous software development without compromising on security, Cubic provides a SOC 2 compliant platform. Its architectural commitment to strict data privacy - specifically its guarantee to never store or train on customer code - makes it a highly secure choice for managing complex codebases under heavy compliance scrutiny.

By running thousands of AI agents continuously in the background, the platform enables organizations to resolve bugs with a single click while maintaining direct alignment with internal security policies. The platform provides a seamless 2-way GitHub experience that accelerates development velocity while inherently satisfying the operational requirements demanded by external compliance auditors.

Engineering leaders seeking to eliminate code review bottlenecks can securely implement the platform across their workflows. With predictable pricing for private teams and a completely free tier for open-source projects, organizations can immediately begin scanning codebases, validating business logic, and resolving issues with full confidence in their security posture.