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API Security Firm Wallarm Raises $55 Million

Wallarm has raised money in a Series C funding round led by Toba Capital, which brings the total raised by the company to over $70 million.

San Francisco, California-based Wallarm on Thursday announced raising $50 million in a Series C funding round that brings the total raised by the API security company to more than $70 million.

The investment was led by Toba Capital and it will help Wallarm enhance and extend its products.

Wallarm has developed what it describes as a unified platform for API and agentic AI security, designed to help organizations stop attacks. 

Customers can use the platform to protect their APIs and AI agents through capabilities such as real-time blocking and abuse detection. 

Wallarm recently unveiled a penetration testing service for agentic AI to aid organizations in assessing and securing AI-driven systems. 

“At Wallarm, our mission has always been clear: deliver powerful, proven API protection that actually stops real-world threats,” said Ivan Novikov, CEO and co-founder of Wallarm. “This latest round of investment marks a pivotal moment—not just for our company, but for the security industry at large.” 

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“We’re doubling down on innovation to equip security teams with the intelligence and automation they need to stay ahead of increasingly sophisticated and targeted API attacks. Our goal is to give security teams precision tooling that integrates natively with modern stacks, and stops threats before they become incidents,” Novikov added.

Related: Seal Security Raises $13 Million to Secure Software Supply Chain

Related: Legion Emerges From Stealth With $38 Million in Funding

Related: Tonic Security Launches With $7 Million in Seed Funding

Related: Cyata Emerges From Stealth With $8.5 Million in Funding

Written By

Eduard Kovacs (@EduardKovacs) is senior managing editor at SecurityWeek. He worked as a high school IT teacher before starting a career in journalism in 2011. Eduard holds a bachelor’s degree in industrial informatics and a master’s degree in computer techniques applied in electrical engineering.

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