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?
探索类似演示
![](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)