CTI-REALM, Microsoft’s open-source benchmark, revolutionizes the evaluation of AI agents in cybersecurity by focusing on real-world detection engineering. Instead of merely assessing CTI trivia, it measures agents’ abilities to operationalize threat intelligence into validated detection logic. CTI-REALM covers end-to-end workflows, including threat report analysis, telemetry exploration, KQL query refinement, and generation of Sigma rules across diverse platforms like Linux and Azure Kubernetes Service (AKS).
This innovative framework addresses gaps in traditional benchmarks by evaluating operationalization instead of recall. It captures intermediate decision-making, enhancing actionable insights for security teams. By leveraging CTI-REALM, organizations can objectively gauge AI model performance, ensuring it supports security operations effectively. The tool’s checkpoint-based scoring system reveals specific areas where models excel or struggle, fostering informed decision-making regarding human oversight. With support from leading models, CTI-REALM sets the standard for safely integrating AI into modern cybersecurity defenses.
For further details and participation, visit the official GitHub repository.
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