klotz: cisco* + observability*

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  1. Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight checkpoint on Hugging Face.

    * **Multiresolution data is common:** The model handles data where fine-grained (e.g., 1-minute) and coarse-grained (e.g., hourly) data coexist, a typical pattern in observability platforms where older data is often aggregated.
    * **Long context windows are needed:** It's built to leverage longer historical data (up to 16384 points) than many existing time series models, improving forecasting accuracy.
    * **Zero-shot forecasting is desired:** The model aims to provide accurate forecasts *without* requiring task-specific fine-tuning, making it readily applicable to a variety of time series datasets.
    * **Quantile forecasting is important:** It predicts not just the mean forecast but also a range of quantiles (0.1 to 0.9), providing a measure of uncertainty.
  2. SIEM market is undergoing significant changes, with many vendors included in Gartner's latest Magic Quadrant report. However, amid the cloud transformation, vendor consolidation, and competition and integration with extended detection and response (XDR), the future is uncertain. The recent acquisition of Splunk by Cisco and IBM selling its QRadar software-as-a-service (SaaS) assets to Palo Alto Networks indicate that some big players are shifting strategies. Gartner Distinguished VP Analyst Peter Firstbrook suggests that IBM is giving up on SIEM and SOAR markets in favor of XDR, while Cisco is trying to figure out how to integrate Splunk with its XDR strategy. Many existing SIEM vendors will either be acquired, shift toward niche markets, or go out of business. Over the next 10 years, the SIEM market will transition to a few dominant players offering integrated platforms supplemented by specialized partner solutions.
    2024-05-26 Tags: , , , , , , by klotz

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