Virtue AI has announced the appointment of Sohaib Shaikh as its new Chief Executive Officer, while confirming that Daniel Le will continue in his role as Chief Financial and Operating Officer. The leadership transition comes as co-founders Bo Li and Sanmi Koyejo exit the company. The move marks a new phase for the AI security firm as it continues scaling its enterprise platform amid rapid market adoption.
Backed by lead investors Walden Catalyst and Lightspeed Venture Partners, Virtue AI has reported strong momentum following its 2024 Series A funding round, including 600% year-over-year growth. The company has positioned itself as a key provider of security and governance solutions for enterprise AI systems and autonomous agents.
Sohaib Shaikh joined Virtue AI in April 2026 as Head of Sales after more than eight years at C3 AI, where he served as Group Vice President of Sales. His appointment signals a focus on scaling enterprise adoption and strengthening go-to-market execution.
Daniel Le, who joined the company as CFO in early 2026, previously held senior leadership roles at dbt Labs and Zoom, where he led finance and operations during periods of rapid expansion. His continued role as CFO and COO is expected to provide operational stability as the company scales.
"Virtue AI continues to drive its mission forward, providing the trust layer for enterprise AI," said Sohaib Shaikh, CEO of Virtue AI. "Enterprises are deploying autonomous agents faster than they can secure them; our platform provides the trusted foundation they need to keep up."
The statement reflects the company’s positioning as a security and governance layer for increasingly autonomous enterprise AI systems.
In 2026, Virtue AI introduced a series of products aimed at securing AI systems across their full lifecycle. These include AgentSuite for end-to-end agent security, Agent ForgingGround for AI red teaming, PolicyGuard for policy creation and enforcement, and Shadow AI for enterprise AI discovery and monitoring.
Together, these tools form a unified platform designed to secure AI agents, models, and applications across enterprise environments.
Virtue AI’s platform is built on an AI-native architecture that integrates automated red teaming, real-time guardrails, and governance controls for enterprise AI systems. The company emphasizes performance and scalability across multiple deployment environments.
Key capabilities include real-time guardrails with sub-10ms latency supporting multiple modalities such as text, image, audio, video, and code. The system also provides multi-layered protection across inputs, outputs, APIs, and agent actions to prevent unauthorized behavior.
The platform is designed for deployment flexibility across cloud, VPC, and on-premises environments, enabling organizations to align AI security with internal compliance requirements.
Virtue AI’s rapid growth reflects increasing enterprise demand for AI governance and security solutions as organizations deploy autonomous agents at scale. The company’s platform is positioned to address risks associated with uncontrolled AI behavior, including unauthorized access, data exposure, and policy violations.
With backing from major venture investors and continued product expansion, Virtue AI is positioning itself as a core infrastructure layer for enterprise AI security.
Virtue AI’s leadership transition marks a significant milestone as the company accelerates its expansion in the enterprise AI security market. With new executive leadership, a rapidly growing product suite, and strong investor backing, the company is reinforcing its role as a governance layer for increasingly autonomous AI systems.
Virtue AI sets the standard for advanced AI security platforms. Built on decades of foundational and award-winning research in AI security, its AI-native architecture unifies automated red-teaming, real-time multimodal and multilingual guardrails, and systematic governance for enterprise agents, models, and applications. With Virtue AI as a trusted third-party partner, enterprises gain unified visibility and assurance across the AI lifecycle while driving innovation without slowing performance.
