Authors: Bo Li, Dawn Song, Sanmi Koyejo
Enterprise-Scale Validation for Secure AI Agent Deployment
Enterprises are rapidly moving AI agents from experimentation into real business operations. These agents can call tools, access sensitive data, and execute critical actions across enterprise systems. However, most organizations still lack a safe and structured way to evaluate how agents behave under real-world conditions.
Today, Virtue AI introduces Agent ForgingGround with Built-In Red-Teaming Agents, a new component of AgentSuite designed to help security leaders and AI teams validate agent resilience at enterprise scale.
👉 For full launch details, read the official press release.
The Security Gap Emerging in AI Agent Deployments
Enterprises need a way to evaluate and stress-test AI agent behavior without risking critical systems, sensitive data, or real-world operations.
As organizations rapidly deploy AI agents that can call tools, access enterprise data, and execute critical workflows, traditional input- and output-level evaluations are no longer sufficient. Agents operate in dynamic, stateful environments, where small prompt manipulations can escalate into:
- Tool misuse
- Data exfiltration
- Unauthorized transactions
- Workflow disruption
For security leaders, this creates a serious AI agent security gap. Many organizations are unprepared to manage agent risk as autonomous systems begin interacting with enterprise infrastructure.
Agents now operate across real systems, yet validation methods often fail to mirror real operational complexity. Without a controlled testing layer, vulnerabilities are frequently discovered only after deployment, when operational and reputational risks are significantly higher.
A Security-Focused Testing Ground for Agentic Systems
Virtue AI Agent ForgingGround with Built-In Red-Teaming Agents is the industry’s first enterprise-scale, security-focused testing ground for agentic systems.
As a core component of AgentSuite, Agent ForgingGround includes 50+ realistic, production-grade enterprise environments, such as:
- Databricks
- Google Workspace applications including Gmail, Google Docs, and Calendar
- PayPal
- ServiceNow
- Atlassian
These environments enable organizations to securely simulate multi-step agent workflows, tool interactions, and cross-system behaviors.
They mirror real-world systems across both user interfaces and agent interfaces such as MCP and HTML, ensuring evaluations are realistic, meaningful, and transferable to production environments.
Unlike traditional agent simulations that rely on direct calls to existing MCP environments, Agent ForgingGround generates environments from the ground up. This enables high-fidelity evaluation of AI agents within controlled and flexible digital environments that accurately replicate real enterprise conditions.
By functioning as an independent validation and oversight layer, Agent ForgingGround allows built-in red-teaming agents to perform continuous risk assessment across the full agent lifecycle, closing blind spots that internal testing alone cannot detect.
To achieve this fidelity, Virtue AI analyzed key characteristics of 50+ enterprise platforms, including API structures, authentication flows, and potential attack surfaces. Each environment was recreated and wrapped as an MCP with an identical tool structure to enable realistic agent testing.
Best of all? Agent ForgingGround supports existing agent frameworks, enabling continuous security testing within your existing development and deployment workflows or integration with your existing CI/CD pipeline. No retooling required.
Reproducible Testing Across Complex AI Agent Workflows
Each simulation environment can be configured to reproduce arbitrary evaluation scenarios, with outcomes deterministically verified through environment states. This enables reliable, repeatable agent testing and benchmarking across complex workflows.
By replicating real-world operational complexity in a controlled environment, Agent ForgingGround helps enterprises proactively identify vulnerabilities such as:
- Prompt injection
- Tool injection
- Skill injection
- Environment manipulation
- Emerging zero-day agent risks
These evaluations can be conducted before, during, and after deployment, enabling continuous validation as agent systems evolve.
Agent ForgingGround also supports alignment with major AI security and governance frameworks, including:
- EU AI Act
- GDPR
- OWASP
- MITRE
Continuous Risk Assessment with Built-In Red-Teaming Agents
Agent ForgingGround includes built-in Red-Teaming Agents designed to stress-test both single-agent and multi-agent systems.
Within the simulation environment, these red-teaming agents execute adaptive attacks using 1,000+ proprietary red-teaming algorithms.
These strategies simulate realistic adversarial behavior, such as:
- Malicious instructions embedded in shared documents
- Injected emails targeting autonomous workflows
- Unsolicited Slack messages designed to manipulate agent decisions
This enables organizations to identify weaknesses in agent behavior before, during, and after exposure to live enterprise environments.s in agent behavior before, during, and after exposure to live enterprise environments.
A Critical Validation Layer for CISOs and AI Leaders
For CISOs and AI leaders, Agent ForgingGround introduces a critical validation layer for AI agent security.
Instead of discovering vulnerabilities after agents interact with live systems and sensitive data, security teams can evaluate agent resilience under realistic stress conditions in controlled environments.
This approach helps organizations:
- Strengthen security posture
- Reduce production risk
- Enable defensible AI agent governance
- Scale agent deployments with confidence
Learn More
👉 Read the official press release for full launch details.
👉 Learn how AgentSuite can strengthen your AI agent security strategy.