Best Artificial Intelligence Software for Splunk User Behavior Analytics
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Compare the Top Artificial Intelligence Software that integrates with Splunk User Behavior Analytics as of August 2025
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This a list of Artificial Intelligence software that integrates with Splunk User Behavior Analytics. Use the filters on the left to add additional filters for products that have integrations with Splunk User Behavior Analytics. View the products that work with Splunk User Behavior Analytics in the table below.
What is Artificial Intelligence Software for Splunk User Behavior Analytics?
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for Splunk User Behavior Analytics currently available using the table below. This list is updated regularly.
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Google Cloud Platform
Google
Google Cloud Platform provides an extensive suite of Artificial Intelligence (AI) and machine learning tools designed to streamline data analysis. GCP offers pre-trained models and APIs like Vision AI, Natural Language, and AutoML that allow businesses to easily incorporate AI into their applications without requiring deep expertise in the field. Additionally, new customers receive $300 in free credits to run, test, and deploy workloads, enabling them to explore AI capabilities on the platform and implement advanced machine learning solutions at no initial cost. GCP’s AI tools also integrate seamlessly with other services, creating end-to-end machine learning pipelines from data processing to model deployment. Furthermore, these tools are designed to be highly scalable, allowing companies to experiment with AI and grow their AI-powered solutions as their needs expand. With these resources, businesses can quickly leverage AI for various tasks, from predictive analytics to automation.Starting Price: Free ($300 in free credits) -
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Splunk Enterprise
Splunk
Go from data to business outcomes faster than ever before with Splunk. Splunk Enterprise makes it simple to collect, analyze and act upon the untapped value of the big data generated by your technology infrastructure, security systems and business applications—giving you the insights to drive operational performance and business results. Collect and index log and machine data from any source. Combine your machine data with data in your relational databases, data warehouses and Hadoop and NoSQL data stores. Multi-site clustering and automatic load balancing scale to support hundreds of terabytes of data per day, optimize response times and provide continuous availability. The Splunk platform makes it easy to customize Splunk Enterprise to meet the needs of any project. Developers can build custom Splunk applications or integrate Splunk data into other applications. Apps from Splunk, our partners and our community enhance and extend the power of the Splunk platform. -
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Splunk Cloud Platform
Splunk
Turn data into answers with Splunk deployed and managed securely, reliably and scalably as a service. With your IT backend managed by our Splunk experts, you can focus on acting on your data. Splunk-provisioned and managed infrastructure delivers a turnkey, cloud-based data analytics solution. Go live in as little as two days. Managed software upgrades ensure you always have the latest functionality. Tap into the value of your data in days with fewer requirements to turn data into action. Splunk Cloud meets the FedRAMP security standards, and helps U.S. federal agencies and their partners drive confident decisions and decisive actions at mission speeds. Drive productivity and contextual insights with Splunk’s mobile apps, augmented reality and natural language capabilities. Extend the utility of your Splunk solutions to any location with a simple phrase or the tap of a finger. From infrastructure management to data compliance, Splunk Cloud is built to scale. -
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Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
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Amazon Sumerian
Amazon
Bring a new dimension to your web and mobile applications with Amazon Sumerian. 3D immersive experiences are breathing new life into user experiences on the web, increasing customer engagement with brands and improving productivity in the workplace. Amazon Sumerian makes it easy to create engaging 3D front-end experiences and is integrated with AWS services to provide easy access to machine learning, chatbots, code execution and more. As a web-based platform, your immersive experiences are accessible via a simple browser URL and are able to run on popular hardware for AR/VR. One-click host your 3D experience using AWS Amplify to deploy your scenes anywhere. Sumerian Hosts are available open source on GitHub for easy integration with your Babylon.js and Three.js applications. Easily create and embed 3D scenes into new or existing web pages with Babylon.js. -
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Amazon Augmented AI (A2I)
Amazon
Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers. Many machine learning applications require humans to review low confidence predictions to ensure the results are correct. For example, extracting information from scanned mortgage application forms can require human review in some cases due to low-quality scans or poor handwriting. But building human review systems can be time consuming and expensive because it involves implementing complex processes or “workflows”, writing custom software to manage review tasks and results, and in many cases, managing large groups of reviewers. -
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Protect business service-level agreements with dashboards to monitor service health, troubleshoot alerts and perform root cause analysis. Reduce MTTR with real-time event correlation, automated incident prioritization and integrations with ITSM and orchestration tools. Use advanced analytics like anomaly detection, adaptive thresholding and predictive health scores to monitor KPI data and prevent issues 30 minutes in advance. Monitor performance the way the business operates with pre-built dashboards that track service health and visually correlate services to underlying infrastructure. Use side-by-side displays of multiple services and correlate metrics over time to identify root causes. Predict future incidents using machine learning algorithms and historical service health scores. Use adaptive thresholding and anomaly detection to automatically update rules based on observed and historical behavior, so your alerts never become stale.
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