AI PROVING GROUNDS ⟶
Test & Validate
AI Agents
Establish trust in your AI-empowered SOC. Continuously stress-test your human and agentic defenses against LLM threats fueled by Mythos and Daybreak.
Build Trust Based on Testing, Not Assumptions
How do security leaders prove that newly deployed AI agents will behave as expected when a Mythos- or Daybreak-fueled 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
