Authors: Bo Li, Dawn Song, Sanmi Koyejo
AI is evolving from standalone models into autonomous agents that reason, retrieve information, and take 33% of enterprise software will include agentic AI by 2028, yet most organizations still lack visibility into how agents behave. AI agents reason over long contexts, use tools, interact with diverse environments, and take actions across multiple systems. Traditional security tools, built for predictable applications and fixed execution paths, were never designed to secure this kind of autonomy.
Virtue AI closes this gap with AgentSuite, the first AI-native, multi-layered, end-to-end security and compliance platform purpose-built for agentic AI. AgentSuite enables enterprises to test and secure AI agents as complete systems, establish consistent enforcement between agents and their tools, and prevent insecure or out-of-policy actions in real time. With AgentSuite, organizations can deploy autonomous agents with confidence while reducing operational and reputational risk. It sets a new standard for how enterprises secure agent-driven workflows at scale.
MCPGuard: The First Programmable Scanner for Agent Infrastructure
Enterprises increasingly rely on MCP servers but lack reliable ways to assess their security before agents depend on them. Hidden prompt injections, code vulnerabilities, data leakage paths, or arbitrary code execution risks can enter production unnoticed and create downstream risk that is difficult to unwind.
MCPGuard performs continuous security analysis of MCP servers designed to deeply analyze MCPs automatically. It analyzes MCP tool descriptions, scans MCP source code for vulnerabilities, leverages an in-house AI model purpose-built to understand MCP semantics, and performs multimodal analysis of text and code. Results appear in a centralized dashboard with clear validation of MCP security before production use.
With MCPGuard, enterprises can:
- Validate MCPs automatically with low overhead
- Onboard MCPs with confidence and speed
- Reduce financial exposure from downstream remediation
Observability & Access Control for Agents
As agents act autonomously, enterprises need transparency into how decisions are made and who has access.
This release delivers full observability into agent structure and real-time behavior, visibility into conversations and actions, visual representations of decision trajectories, and centralized access control with a complete audit trail.
With Observability and Access Control, enterprises can:
- Maintain continuous visibility into agent behavior
- Strengthen governance and audit readiness
- Improve executive oversight as agents scale
Unified Agent Gateway for One-click Integration
Other agent security controls are fragmented across tools, which creates inconsistent enforcement, complex integrations, and blind spots between agents and MCPs.
The Unified Agent Gateway is positioned between agents and all MCP tools to create a single enforcement point. It automatically scans every MCP with MCPGuard, evaluates runtime tool calls via ActionGuard, and ensures authentication matches the deployment context.
With the Unified Agent Gateway, enterprises can:
- Establish a single, consistent enforcement point
- Ensure every MCP is scanned and every tool call is evaluated
- Reduce security gaps caused by fragmented controls
- Enable one-click AgentSuite integration or flexible support for existing gateways
VirtueRed for Agents
AI agents introduce a new class of risks because they reason over long contexts, use tools, interact with diverse environments, and take actions across multiple systems. Most enterprise testing still focuses on individual prompts or model outputs and fails to evaluate agent behavior end to end. This leaves organizations blind to how agents actually operate when making chained decisions, invoking MCP tools, and executing actions in diverse environments.
VirtueRed tests agents end to end in a purpose-built sandbox across potential attacks such as prompt injections, tool injections, and environment injections. It delivers more than 100 proprietary, agent-specific red teaming strategies, more than 50 high-fidelity sandbox MCP environments that replicate real enterprise tools and systems, and comprehensive testing at scale across more than 1,000 agent risk categories and attack vectors.
With VirtueRed for Agents, enterprises can:
- Test and secure AI agents as complete systems
- Identify, categorize, and remediate agent vulnerabilities at scale
- Reduce operational and security risk before deployment
- Generate comprehensive security reports on demand.
Securing the Future of Agentic AI
Agentic AI is becoming core enterprise infrastructure. Securing it requires more than isolated controls or point solutions. With this release, Virtue AI delivers a unified, research-driven platform that secures agents end to end. Enterprises can now deploy autonomous agents with confidence, reduce risk across the agent stack, and accelerate secure adoption of agent-driven workflows.