AI PROVING GROUNDS ⟶
Validate & Test
AI Agents
Establish trust in your AI-empowered SOC by safely validating and testing AI agents in real environments against real-world attacks.
Build Trust Based on Testing, Not Assumptions
How do security leaders prove that newly deployed AI agents will behave as expected when a zero-day hits? Trust cannot be based on assumptions. Organizations need a risk-free AI agent testing infrastructure to continuously interrogate agent and vendor performance, confirm policy boundaries, and measure operational safety.
The Trust Blueprint: Rigorous Agentic AI Testing & Validation
Safely launch cyberattacks directly against autonomous agent architectures to assess their decision-making logic, map failure thresholds, and establish trust in your AI-empowered SOC.
Install the Agent in a
Realistic Range
Rapidly host prospective third-party or internal AI agents inside a zero-risk, digital replica range.
Conduct Adversarial AI Agent
Stress-testing
Execute automated, continuous attack loops to evaluate response logic, prioritization accuracy, and both malware & living-off-the-land (LoTL) detection.
Score
Performance
Deliver unified event scoring, impact maps, and run-based reporting to assess the readiness of your agents.
Key Outcomes
Objective Readiness Signals
Discover and quantify if agents perform exactly as anticipated or introduce unintended structural vulnerabilities.
A Custom Framework for Trust
Define, quantify, and track security boundaries tailored specifically to your organization’s unique operational tolerances.
Research Report
The State of Agentic Cybersecurity: How Security Leaders Are Training, Testing, and Trusting Humans & AI Agents Together
