AI Proving Grounds
Train, Test, and Operationalize AI
to Defeat AI-Fueled Adversaries
Build Trust That Your AI Agents & Human Operators Can Defeat AI-Fueled Adversaries
AI agents rarely fail in clean lab environments. They fail in real security operations with noisy SOC workflows and adversary pressure.
SimSpace is the AI Proving Grounds where you can continuously stress test your AI agents against LLM threats fueled by modern AI models like Mythos and Daybreak.
Build trust that your AI agents will hold up under real-world pressure.
The AI Proving Grounds Platform
LAYER 3:
Activity
Agents / Users / Traffic / App Content / Attacks
LAYER 2:
Apps & Tools
Network / Identity / Endpoints / Data
LAYER 1:
Infrastructure
IT / Cloud / OT / IoT / ICS
EMULATE AND INTEGRATE ANY ACTIVITY / ATTACK BEHAVIOR
GENERATE AI AGENT TRAINING
AND PRODUCT PERFORMANCE DATA
OPTIMIZE AI + HUMAN
TEAM PERFORMANCE
Generate hyper-synthetic data
Generate hyper-synthetic telemetry and attack data based on true enterprise conditions to make models and agents smarter and more predictive. Then, retrain with production data, all without impacting production environments.
Test and validate agentic solutions
Test and validate autonomous AI agents operating within full workflows. Validate agentic performance results against realistic user and attack emulation and adversary behavior inside a replica of your environment.
Prove safe and trustworthy agentic solutions
Evaluate an agent’s policy adherence, escalation thresholds, and failure modes in a realistic cyber simulation infrastructure to build operational trust and ensure AI decisions are explainable and secure.
Strengthen human-agents coordination
By training and testing inside the AI Proving Grounds, organizations can properly evaluate human and AI integration to prove that both AI agents and human operators can stand up against real threats.
