AI autonomy is accelerating. Trust isn’t.
The more autonomous AI agents become in security operations, the more validation is needed to ensure they are ready for advanced attacks fueled by Mythos and Daybreak. Traditional vendor demos and proof-of-value exercises don’t answer the questions that matter most: How will AI behave in your environment? Will your analysts and AI agents work effectively together when it counts?
In this ebook, we introduce the AI Proving Grounds: a framework and solution for safely training, validating, and operationalizing AI agents inside realistic digital replicas of production environments. You’ll learn how leading organizations establish trust in AI through continuous testing, cyber simulation, and measurable validation.
The AI Proving Grounds Framework
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.
Validate & Test AI Agents
Establish trust in your AI-empowered SOC by safely validating and testing AI agents in real environments against LLM attacks fueled by Mythos and Daybreak.
Operationalize Humans and AI Agents
Operationalize combined human-AI SecOps playbooks and AI-driven detection engineering within a digital replica of your actual production infrastructure.
