MITRE Round 2 Eval Results
MITRE does an excellent job of testing across tactics and techniques of a simulated APT and presenting the raw data for analysis. They do not score the data or provide any vendor rankings, but many organizations are accustomed to looking for a place to start analyzing the data in a way that can help inform their own evaluation process. MITRE provides a way to look at the results via their Data Analysis Tool, but we thought, what if we imported all the results into Elasticsearch and visualized them in Kibana?
Explore similar demos
![](https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt5a35beb565e4e5a1/668d945708ba14691a5cb4df/build-generative-ai-applications-with-rag-screenshot.png)
Search
Building generative AI applications with retrieval augmented generation (RAG)
See first-hand how RAG workflows use your proprietary data to provide critical context to your generative AI experiences. This click-through demo shows you an example of an internal application that provides employees with information about company policies.
![](https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltea050cc293e77664/6660cdeaba8809963e53c3dd/synthetic-monitoring-projects-screenshot.png)
Observability
Synthetic Monitoring - Project Monitors
![](https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt11edbbfe2818512c/665a4da3906ed778de274550/migration-gcp-tour-start-screen-shot.png)