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Comp AI Raises $34 Million for AI-Native Compliance and Security

The company plans to expand into continuous cybersecurity, offering security testing across applications and infrastructure. The post Comp AI Raises $34 Million for AI-Native Compliance and Security appeared first on SecurityWeek .

Funding Round: Comp AI, a compliance automation startup, has raised $34 million in new funding to enhance its software for preparing companies for security audits. The funding will be used to develop real-time monitoring and control validation, with the goal of taking the platform beyond just audit readiness into cybersecurity.

Core Features: The platform's core is open source and covers frameworks such as SOC 2 and ISO 27001. Comp AI's software reads a customer's own systems and documents to understand organizational context, then drafts policies and risk registers from the findings. Agents handle onboarding, gather evidence, monitor controls, and conduct vendor security assessments.

Market Position: Comp AI competes with Vanta Inc. and Drata Inc., with the latter being valued at $4.15 billion in a $150 million round last year. The company aims to provide AI agents that not only track work but also understand the business and act as risk changes.

Team and Expansion: The company, incorporated as Bubba AI Inc., is based in Miami with an office in New York. Its co-founders are Lewis Carhart, the chief executive, Claudio Fuentes, the chief operating officer, and Mariano Fuentes, the chief technology officer. Annual recurring revenue has increased 15 times over the past year, and the investment round will also fund hiring across product, engineering, sales, and customer success.

Investors and Series: The round was led by Roo Capital and Grand Ventures, with pre-seed funding of $2.6 million in August 2025 also led by Grand Ventures and OSS Capital. In total, $36.6 million has been invested in Comp AI. The company aims to remove the limitations of traditional compliance, which historically was "an approximation of security" due to its manual and scheduled nature. As AI spreads, attacks are becoming faster, making the need for real-time monitoring and automated control validation more critical.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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