ServerlessStack Elastic Machine Learning
ML platform for anomaly detection, outlier detection, classification & regression
ServerlessStack Elastic Machine Learning
ML platform for anomaly detection, outlier detection, classification & regression
Data verified May 2026
ADYour product here. Reach security decision-makers.Launch a campaignServerlessStack Elastic Machine Learning Description
Elastic Machine Learning is a machine learning platform integrated into the Elastic Stack that provides both unsupervised and supervised learning capabilities for data analysis and pattern detection. The platform offers two types of unsupervised machine learning: anomaly detection for time series data that constructs probability models to identify unusual events and forecast future behavior, and outlier detection for non-time series data that identifies unusual data points by analyzing proximity and cluster density. For supervised learning, the platform provides classification capabilities to predict discrete categorical values such as identifying malicious versus benign domains, and regression analysis to predict continuous numerical values like web request response times. Both supervised methods require training data sets and produce trained models that can be deployed for predictions on new data. Feature availability varies by project type within the Elastic ecosystem. Elasticsearch Serverless projects include trained models, Observability projects support anomaly detection jobs, and Elastic Security projects provide access to anomaly detection jobs, data frame analytics jobs, and trained models. The platform includes functionality for exporting and importing machine learning job configurations and datafeed details between environments, though models must be rebuilt for anomaly detection jobs in new environments. Data frame analytics trained models are portable and can be transferred between clusters. Jobs can be managed through APIs or the Kibana interface, with automatic synchronization of saved objects for visualization and management purposes.
ServerlessStack Elastic Machine Learning FAQ
Common questions about ServerlessStack Elastic Machine Learning including features, pricing, alternatives, and user reviews.
ServerlessStack Elastic Machine Learning is ML platform for anomaly detection, outlier detection, classification & regression, developed by Elastic. It is a AI Security solution designed to help security teams with Anomaly Detection.
ServerlessStack Elastic Machine Learning offers the following core capabilities:
1.Anomaly detection for time series data
2.Outlier detection for non-time series data
3.Classification for discrete categorical predictions
4.Regression for continuous numerical predictions
5.Trained model deployment
6.Job and datafeed configuration export/import
7.Probability model construction with continuous learning
8.Data frame analytics
9.Forecasting capabilities
10.Kibana integration for job management
ServerlessStack Elastic Machine Learning integrates natively with Kibana, Elasticsearch. Integration support lets security teams connect ServerlessStack Elastic Machine Learning to existing SIEM, ticketing, identity, and notification systems without custom development.
ServerlessStack Elastic Machine Learning is deployed as a cloud solution, suited to smb, mid-market, enterprise organizations looking to operationalize ai security. The commercial offering is positioned for production security operations with vendor support and SLAs.
ServerlessStack Elastic Machine Learning is built for security teams handling Anomaly Detection. It supports workflows including anomaly detection for time series data, outlier detection for non-time series data, classification for discrete categorical predictions. Teams typically adopt ServerlessStack Elastic Machine Learning when they need to ai security capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/serverlessstack-elastic-machine-learning
ServerlessStack Elastic Machine Learning is a commercial AI Security solution. For detailed pricing information, visit https://www.elastic.co/guide/en/machine-learning/current/machine-learning-intro.html or contact Elastic directly.
Popular alternatives to ServerlessStack Elastic Machine Learning include:
1.KELA AiFort - Security platform for LLM applications with red teaming and threat protection (Commercial)
2.Pebblo - AI security platform enforcing access control & governance for AI apps/agents. (Commercial)
3.Portal26 - Enterprise platform for GenAI governance, security, risk mgmt & compliance. (Commercial)
4.Advai Platform - AI testing & monitoring platform for secure, compliant AI deployment. (Commercial)
5.Pebblo (Safe Agent/Safe Infer) - AI agent governance platform securing MCP traffic, prompts, and data access. (Commercial)
Compare all ServerlessStack Elastic Machine Learning alternatives at https://cybersectools.com/alternatives/serverlessstack-elastic-machine-learning
ServerlessStack Elastic Machine Learning is for security teams and organizations that need Anomaly Detection. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other AI Security tools can be found at https://cybersectools.com/categories/ai-security
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