Listen to this article
Semgrep raises $100M in Series D funding to expand its AI-powered code security platform, with backing from Menlo Ventures, Sequoia Capital, and others. The company enhances software security by using AI to detect vulnerabilities, reduce false positives, and integrate security seamlessly into development workflows. With the new investment, Semgrep plans to scale its AI capabilities, hire top talent, and extend its reach beyond security teams to a broader engineering audience.
AI-Powered Security Gets a Major Boost
Semgrep raises $100M in Series D funding to expand its AI-driven code security platform. The investment round is led by Menlo Ventures, with participation from existing backers such as Sequoia Capital, Lightspeed Venture Partners, Redpoint Ventures, Felicis Ventures, and Harpoon Ventures. This brings the company’s total funding to $204M.
The demand for stronger application security continues to grow as organizations manage increasingly complex codebases. Semgrep focuses on providing developers with an efficient and scalable way to integrate security into the development process without slowing down productivity. Its AI-powered solutions help teams detect, prioritize, and resolve vulnerabilities more effectively than traditional security tools.
Why Traditional Code Security Falls Short
Most code security scanners generate excessive false positives, making it difficult for developers to differentiate real threats from noise. The inefficiency of these systems slows down development cycles and creates friction between security and engineering teams. Many security tools also require extensive configuration and maintenance, which adds to the operational burden.
With software development accelerating, organizations need security solutions that integrate seamlessly into existing workflows. Legacy scanners struggle to keep pace with evolving threats and often fail to provide actionable insights. Developers require a system that not only detects security risks but also helps them resolve issues quickly without disrupting their work.
How Semgrep Uses AI to Strengthen Code Protection
Semgrep improves code security by leveraging AI to automate vulnerability detection and remediation. Unlike conventional tools, it prioritizes real risks while minimizing false alerts, allowing developers to focus on critical issues.
Key capabilities of Semgrep’s AI-powered security platform include:
- AI-driven vulnerability detection – Identifies security flaws with higher accuracy by analyzing patterns in source code.
- Automated triaging and prioritization – Reduces noise by ranking vulnerabilities based on severity and impact.
- Secure guardrails for developers – Embeds security best practices into the development lifecycle to prevent issues before deployment.
- Semgrep Assistant – Uses AI to learn an organization’s coding patterns and automatically suggests fixes for detected issues.
By integrating these features, Semgrep enables security and engineering teams to work more efficiently, reducing the time spent on manual security reviews while improving overall code quality.
Recommended: Earth AI Secures $20 Million To Advance AI-Driven Mineral Exploration
New Funding Fuels Ambitious Growth Plans
With fresh capital, Semgrep plans to scale its AI capabilities and expand its market presence. A significant portion of the funding will be allocated to hiring top AI and security researchers to enhance the platform’s detection algorithms and automation features.
The company is also strengthening its leadership team, bringing in Garrett Souza as Vice President of Sales. Souza previously held leadership roles at Matillion and Snyk, where he played a key role in scaling enterprise adoption. Mark McLaughlin, former CEO of Palo Alto Networks, joins as an angel investor and advisor.
Beyond product development, Semgrep is increasing efforts to educate developers and security teams on integrating security into their workflows. The company is positioning itself as a leader in AI-driven application security, aiming to extend its reach beyond security practitioners to a broader engineering audience.
What This Means for Developers and Security Teams
Organizations using Semgrep gain access to an AI-powered security platform that adapts to their development environments. By embedding security into coding workflows, teams can shift from reactive vulnerability management to proactive risk prevention.
Developers benefit from a system that provides real-time security feedback without interrupting their workflow. Instead of relying on delayed security audits, teams can identify and fix issues as they code. Security teams, in turn, gain a tool that enhances visibility and reduces the time required to analyze and remediate vulnerabilities.
The broader shift toward AI-driven security reflects the increasing complexity of modern software. As threats evolve, static rule-based scanning approaches are becoming less effective. AI-powered solutions, such as Semgrep, represent the next stage in securing software at scale.
Semgrep’s Next Chapter in AI Security
Semgrep continues to refine its AI-powered security platform, ensuring it meets the needs of modern development teams. With new funding and strategic leadership additions, the company is positioned to drive advancements in application security while maintaining a strong focus on developer-friendly solutions.
Security challenges in software development are growing, and companies require adaptable solutions to keep pace. Semgrep’s approach enables organizations to integrate security seamlessly into their coding practices, reducing risk without compromising speed. The evolution of AI in security is accelerating, and tools that leverage automation and intelligent analysis will play a central role in securing future software development.
Please email us your feedback and news tips at hello(at)techcompanynews.com
