AI PROVING GROUNDS ⟶
Build & Train AI Agents with Hyper-Synthetic Data
Stop training AI agents on sterile, theoretical datasets. Generate hyper-synthetic data to build & train red and blue agents that are ready for real-world attacks.
Stop Training AI Agents on Static Data
When product teams and corporate data science units train AI agents on static data, they inherit fragile automation logic, model drift, and a high rate of false positives. Autonomous combat-ready AI agents need live, precision-labeled, full-stack log data generated in a modern AI training software ecosystem.
Build Real-World-Ready Agents with Hyper-Synthetic Data for AI Training
The SimSpace AI Proving Grounds is an isolated, realistic cyber simulation platform that generates hyper-synthetic, production-grade log data to build resilient, context-aware red and blue agents.
Execute Targeted Adversary Emulation
Launch nation-state and e-crime attacks within an isolated, enterprise-mirrored environment to force genuine tool interactions and telemetry
Harvest Multi-Vector
Log Data
Automatically export comprehensive log data to data science and product management teams across both security stack architectures and everyday productivity app traffic.
Refine Agent Performance in Cyber Simulations
Provide data scientists with the real-world, hyper-synthetic log metrics to train agent model candidates against realistic background conditions.
Benchmark & Validate
AI Agents
Place newly minted agents back into the live-fire scenarios to map out and quantify iterative step-by-step performance developments.
Key Outcomes
Compressed Time-to-Market
Eradicate weeks spent hand-crafting or cleaning target data sets.
Bulletproof AI Validation & Product Verification
Deploy security features with proven metrics to achieve real-world operational effectiveness.
Proven Agents
Move smoothly from alpha builds to battle-hardened agents capable of identifying complex threat signatures
Analyst Report
Gartner® Emerging Tech: Hyper-Synthetic Data Is Essential to Winning the Future of Cybersecurity
