RunSybil Raises $40 Million To Advance AI Cybersecurity

This approach reflects a shift in how enterprises must think about cybersecurity. As organizations increasingly adopt AI across functions such as finance, legal, and operations, security testing has often remained a periodic and manual process. RunSybil aims to change that dynamic by embedding automated ethical hacking directly into the software development lifecycle.

“We check every box that needs to be checked for auditors, regulators and compliance teams,” Herbert Voss said. He emphasized a broader transformation in security practices, adding, “Not as a project, but as a permanent capability embedded in how they build.”

Investors see this as a frontier opportunity. Vinod Khosla highlighted the technical ambition behind the company, stating, “what it takes to add security and penetration testing to the AI world is definitely frontier RunSybil is on the edge.” There is currently little competition in this emerging segment, though established players like Palo Alto Networks could eventually enter the space. “We invest in founders who tackle large, unsolved problems with technically ambitious solutions,” he added. “[Herbert-Voss and Ionescu] are building exactly the kind of platform security teams will need as software complexity and AI driven development accelerate.”

RunSybil’s origins are closely tied to the rapid evolution of large language models and their implications for cyber threats. Herbert Voss pointed to early developments like GPT 2 as a turning point, explaining, “Once OpenAI dropped GPT-2, I said wow, this changes everything about the economics of what it would take to run a cyber campaign.”

The company is already working with startups such as Cursor, Notion, and Baseten, as well as undisclosed financial institutions and Fortune 500 firms. According to Ionescu, customers have identified critical vulnerabilities that traditional methods failed to detect. “We built Sybil with the experience of the best red teamers in the industry, no everyone who runs Sybil has that power,” he said.

As AI continues to reshape enterprise infrastructure, AI cybersecurity startup RunSybil represents a new category of autonomous security solutions. Its ability to continuously test live systems could redefine how organizations manage risk, particularly in regulated industries where compliance and real time threat detection are critical. The funding underscores a broader industry shift toward integrating AI driven security into the core of digital operations.