AI Proving Grounds
Test
Test Your AI Agents
Against Real-World Attacks.
The realistic cyber simulation platform to test your AI agents before production deployment.
Prove Your AI Agent Readiness Before Production Deployment
AI agents are entering security operations without being tested in environments that reflect real-world complexity. Without realistic conditions—or the ability to validate agents alongside human operators—organizations can’t be confident these systems will perform under pressure.
Welcome to the AI Proving Grounds, where you can conduct real-world AI agent testing alongside human operators in realistic environments with integrated attack and user activity. With coordinated human and AI agent validation, you can prove and trust your AI SOC resilience before production deployment.
The AI Proving Grounds
Transformation Journey
Test &
Evaluate
- Where does AI fit into my shop?
- What are the right AI solutions?
- Do they attack and defend properly?
- Do they scale?
- Do they make the right decisions consistently?
- Do they break anything?
Deploy &
Optimize
- How do I integrate our chosen AI solutions into production?
- How do I optimize the AI solutions for my organization?
- How should I train my team to work with AI?
- Are the chosen AI solutions producing a favorable ROI?
- Can I trust the AI solutions in production?
Validate Security Tools & AI Agents with Tool Tester
Tool Tester gives security teams a realistic, isolated environment to evaluate tools and AI agents, tune detections, and validate changes against real scenarios, without putting the live security stack at risk.
Realistic, Isolated Tool Test Environment
Tool Tester mirrors production conditions without touching live systems. This allows teams to safely test new configurations, rules, and integrations while preserving the integrity of their real security stack.
Configuration and Rule Testing Workflows
Purpose-built workflows support structured testing of rules and configurations. Teams can validate changes repeatedly, reduce rework, and shorten detection tuning cycles before changes are deployed.
Scenario-Driven Validation Library
A library of realistic scenarios enables consistent testing across tools and use cases. This helps teams understand how detections perform against known behaviors and identify gaps by tool, rule, or scenario.
Scoring Analytics for Detections
Built-in scoring analytics provide clear feedback on detection performance. Teams can see what triggers, what misses, and how changes impact overall coverage, making detection engineering more data-driven and defensible.
The AI Proving Grounds Difference
Generate synthetic, precision-labeled training data and retrain with production data
Test and validate agentic solutions
Ensure agentic solutions are safe and trustworthy
Strengthen cyber resilience with human operators alongside AI agents
The AI Proving Grounds Center of Excellence
Gain a tactical edge over cyber threats with the SimSpace Attack Catalog
Leveraging Full Kill Chain Emulation, SimSpace runs real-world, intelligent attacks, from sophisticated APT activities to custom simulations. Teams gain invaluable insights to prove their human operators and AI agents perform together under fire.
