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Virtue AI Raised $30 Million to Tackle AI Security Risks. Fortinet Acquired It in 2026

Virtue AI raised $30 million in April 2025 to develop AI security products, then expanded into agent testing and runtime controls before Fortinet acquired the company in August 2026.
From TheFinanceBase Team4 min to read
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Virtue AI raised $30 million in seed and Series A funding in April 2025 to develop and expand security products for AI models, applications, and agents. The company later built tools for testing AI systems and controlling agent actions; on August 17, 2026, Fortinet announced it had acquired Virtue AI and planned to integrate its capabilities into Fortinet’s AI-Native Security Fabric.

What the $30 million was for

SecurityWeek reported on April 15, 2025, that San Francisco-based Virtue AI had raised $30 million across seed and Series A financing. The round was led by Lightspeed Venture Partners and Walden Catalyst Ventures. The company said it would use the funding for research and development, market expansion, and hiring in AI safety and security.

The investment addressed a practical challenge for organizations adopting AI: the security risks are not limited to whether a model produces an incorrect answer. AI systems can expose data, be manipulated through their inputs, or take unsafe actions when connected to tools. Axios described Virtue AI’s pitch as bringing several kinds of AI security controls together rather than requiring security teams to manage separate tools.

Which AI deployment risks Virtue AI targeted

Virtue AI’s products were aimed at risks that can appear at different points in an AI system’s lifecycle. SecurityWeek and Axios described concerns including:

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  • Data poisoning: compromised or manipulated data can undermine a model or the system built around it.
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  • Compliance failures: outputs or actions may violate an organization’s rules or applicable regulatory requirements.

These are different failure modes, so one safeguard cannot address them all. Testing seeks to uncover weaknesses before or during deployment; guardrails aim to block prohibited outputs or actions while a system is in use; and logging and access controls help organizations monitor and govern how agents operate.

How Virtue AI’s product lineup addressed those risks

SecurityWeek described Virtue AI’s original offerings as a combination of red-teaming, multimodal guardrails, and agent protection. The product descriptions below reflect company and media reporting, not independent product testing.

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Product or capability Role described in reporting Scope or qualification
VirtueRed Red-teaming to assess AI models, systems, and agents for weaknesses. SecurityWeek reported more than 100 red-teaming algorithms spanning more than 320 safety categories aligned with regulatory requirements.
VirtueGuard-Text, VirtueGuard-Image, and VirtueGuard-Video Guardrails intended to block outputs that violate policies or regulations. The product names indicate text, image, and video coverage; the cited reporting does not provide independent performance results.
VirtueAgent Protection for AI agents, including controls intended for autonomous systems. Axios described agent guardrails as one of the company’s three broad product areas.

The reported algorithm and category counts describe the breadth of VirtueRed’s testing approach; they are not a measure of how often it prevents attacks or guarantees regulatory compliance.

What AgentSuite added for autonomous agents

Virtue AI later presented AgentSuite as a unified security stack for agents. Unlike a model-only check, an agent-security approach also needs to consider what tools an agent can reach, what actions it takes, and whether those actions comply with policy.

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AgentSuite component Function described by Virtue AI
VirtueRed for Agents Continuous red-team testing of agents.
MCPGuard Validation for vulnerabilities in MCP servers and tools.
ActionGuard Real-time enforcement of policies on agent actions.
Unified Agent Gateway A centralized gateway for agent traffic and controls.
Observability Visibility into conversations, actions, and tool calls.
Role-based access control and audit logging Controls over who can access capabilities, plus centralized records of activity.

In practical terms, this design addresses a different problem from blocking a harmful text response: an agent can create risk by calling an inappropriate tool, accessing information it should not use, or taking an action without sufficient authorization. Virtue AI’s product descriptions set out controls for those areas, but they do not establish independent effectiveness or a particular level of protection.

What happened to Virtue AI after the funding round

In a June 29, 2026, company announcement, Virtue AI named Sohaib Shaikh CEO and Daniel Le CFO/COO, following the departure of co-founders Bo Li and Sanmi Koyejo. The same announcement reported 600% year-over-year growth and listed AgentSuite, Agent ForgingGround, PolicyGuard, and Shadow AI among products launched in 2026. Those growth and product-launch details were company-reported; descriptions of the latter three products were not specified in the cited material.

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On August 17, 2026, Fortinet announced that it had acquired Virtue AI. Fortinet said it would integrate Virtue AI’s capabilities into its AI-Native Security Fabric, extending protection across AI models, applications, and agentic systems from development through runtime. Fortinet did not disclose financial terms and described them as immaterial to Fortinet.

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What Fortinet says the acquired capabilities cover

Fortinet’s acquisition announcement described a broader security offering that builds on Virtue AI’s testing and runtime-control focus. These are Fortinet’s stated capabilities, not independently verified performance findings.

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  • Agent red-teaming across more than 50 sandboxed environments and 14 high-stakes domains.
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  • Automated red-teaming across hundreds of attack vectors and more than 1,000 risk categories.
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Fortinet founder, chairman, and CEO Ken Xie said, “AI is fundamentally changing enterprise computing, and security must evolve just as quickly.” The acquisition announcement also cited a Gartner forecast that products and tools for securing AI ecosystems and AI agents could grow from $2.8 billion in 2026 to $16.4 billion by 2030. That figure is a forecast attributed to Gartner by Fortinet, not a verified outcome.

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