Virtue AI Launches AgentSuite: First End-to-End Security Platform for Enterprise AI Agents
79% of enterprises now deploy AI agents, but 97% lack proper security controls—a gap that’s created a new category of infrastructure risk as organizations race to automate everything from database queries to payment processing.
Virtue AI just launched AgentSuite, the industry’s first multi-layer security and compliance platform purpose-built for enterprise AI agents. While traditional security tools were designed for predictable application workflows, AgentSuite addresses the dynamic, multi-tool nature of autonomous agents that can trigger complex actions across enterprise systems in real time.
The Agent Security Bottleneck
Traditional cybersecurity approaches assume static execution paths and known attack vectors. AI agents break these assumptions entirely. They operate autonomously, make decisions in real time, access multiple tools simultaneously, and can be manipulated through prompt injection attacks that existing security frameworks can’t detect or prevent.
The scale of exposure is significant. Enterprise agents routinely interact with databases containing sensitive customer information, trigger financial transactions, and access privileged systems. When these agents lack proper security controls, a single compromised prompt can cascade into data breaches, compliance violations, or operational disruption across multiple business functions.
Legacy application security tools monitor known code paths and predefined user interfaces. AI agents, by contrast, generate novel execution sequences based on natural language inputs and environmental conditions. This fundamental mismatch has left enterprise security teams blind to agent behavior and unable to enforce consistent policies across agentic systems.
AgentSuite’s Integrated Architecture
AgentSuite combines proactive testing, real-time enforcement, and comprehensive governance in a unified platform designed specifically for agentic systems.
VirtueRed provides continuous red-teaming using over 100 proprietary agent-specific attack strategies across high-fidelity sandboxes. Rather than waiting for security incidents, VirtueRed simulates realistic attack scenarios including prompt injection, tool manipulation, and multi-step exploitation attempts that traditional penetration testing can’t replicate.
MCPGuard identifies vulnerabilities in Model Context Protocol (MCP) servers, tool code, and prompt descriptions that are susceptible to injection attacks. As enterprises increasingly adopt MCP for standardized tool integration, MCPGuard ensures these connections don’t become attack vectors.
At runtime, ActionGuard monitors agent trajectories in real time, providing both alerting and blocking capabilities for insecure or out-of-policy actions. The system supports custom enterprise policies, allowing organizations to define specific behavioral boundaries for different agent roles and use cases.
The Unified Agent Gateway serves as a single enforcement point between agents and all connected tools, ensuring uniform security application regardless of which systems the agent accesses. This centralized approach eliminates the security gaps that emerge when agents interact with multiple tools that each have different security postures.
Enterprise Adoption Evidence
Since raising a $30M Series A in 2025, Virtue AI has established deployments with major enterprises including NVIDIA, Uber, OpenAI, Zoom, Microsoft, Google DeepMind, AllianceBernstein, and Glean. These early adopters represent organizations where agent security failures would have immediate business impact, validating AgentSuite’s enterprise readiness.
The platform delivers full observability of conversations, actions, and tool calls, along with role-based access controls and centralized audit logging. For enterprises operating under regulatory frameworks like SOX, HIPAA, or financial services regulations, this comprehensive logging provides the documentation trail necessary for compliance reporting and incident investigation.
AgentSuite’s architecture reflects input from organizations that have experienced the operational challenges of scaling agent deployments without proper security frameworks. Rather than retrofitting existing security tools, Virtue AI built AgentSuite from the ground up to match the dynamic, autonomous nature of enterprise agents.
Security Infrastructure Evolution
The launch of AgentSuite signals a broader shift in enterprise security architecture. As AI agents become core business infrastructure rather than experimental tools, security teams must adopt agent-native approaches that account for autonomous decision-making, multi-tool orchestration, and natural language manipulation vectors.
Traditional security frameworks focused on perimeter defense and known threat patterns. Agent security requires understanding emergent behaviors, complex tool interactions, and the unique attack surfaces that arise when natural language becomes a vector for system manipulation.
AgentSuite’s research foundation, led by experts including Dawn Song, Sanmi Koyejo, and Carlos Guestrin, translates academic AI security research into practical enterprise controls. The team’s NeurIPS-recognized Decoding Trust paper continues to inform rapid innovation against emerging agentic threats, ensuring the platform evolves alongside new attack methodologies.
Looking Forward: Secure Agent Infrastructure
Enterprise agent adoption is accelerating despite security concerns, driven by competitive pressure to automate knowledge work and operational processes. AgentSuite provides the security infrastructure that enables confident scaling rather than forcing organizations to choose between innovation and risk management.
As AI agents increasingly handle sensitive enterprise functions, security platforms like AgentSuite become foundational infrastructure—not optional add-ons. The question for enterprise IT leaders isn’t whether to secure their agents, but whether they have visibility and control over what those agents can actually do before a security incident forces system-wide shutdowns.
The emergence of purpose-built agent security platforms represents a maturation of enterprise AI infrastructure, moving beyond capability demonstrations to production-ready systems with enterprise-grade security, compliance, and operational controls.
About Overclock
Overclock’s AI agent orchestration platform helps enterprises deploy and manage AI agents at scale with built-in security, compliance, and governance controls. Learn more about building secure, production-ready agent workflows at overclock.work.