AI  Proving Grounds

Build, Validate, and Operationalize AI Agents to Preempt AI-fueled Adversaries

Build Trust That Your AI Agents & Human Operators Can Preempt 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.

Stop training AI agents on sterile, theoretical datasets. Generate hyper-synthetic data to build & train red, blue, and control agents that are ready for real-world attacks.

Establish trust in your AI-empowered SOC by safely validating and testing AI agents in real environments against real-world attacks.

Operationalize combined human-AI SecOps playbooks within a digital replica of your actual production infrastructure with full-stack processes and real data and workflows.

The AI Proving Grounds Platform

Layer 3: Activity

Agents / Users / Traffic / App Content / Attacks

Emulate and Integrate Any Activity / Attack Behavior

Layer 2: Apps & Tools

Network / Identity / Endpoints / Data

Generate AI Agent Training And Product Performance Data

Layer 1: Infrastructure

IT / Cloud / OT / IoT / ICS

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.

Validate agentic solutions

Stress-test 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.