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What is Splunk User Behavior Analytics?

Safeguarding against hidden threats through user and entity behavior analytics is crucial for modern security practices. This methodology reveals deviations and covert risks that traditional security systems frequently miss. By streamlining the synthesis of various anomalies into a unified threat, security professionals can enhance their operational efficiency. Utilize sophisticated investigative tools and strong behavioral baselines that are relevant to any entity, anomaly, or potential threat. Implement machine learning to automate the identification of threats, which allows for a more concentrated approach to threat hunting with precise, behavior-driven alerts that support swift assessment and action. Anomalous entities can be swiftly identified without requiring human involvement, resulting in a more efficient process. With a comprehensive selection of over 65 types of anomalies and more than 25 classifications of threats encompassing users, accounts, devices, and applications, organizations significantly improve their capacity to detect and mitigate risks. This synergy of human expertise and machine-driven insights enables companies to substantially bolster their security frameworks. Ultimately, the adoption of these sophisticated capabilities fosters a more robust and anticipatory defense strategy against constantly evolving threats, ensuring a safer operational environment.

What is Amazon Lookout for Equipment?

Utilize existing sensor information to create specialized machine learning (ML) models that cater to your machinery's needs. Establish automatic monitoring systems capable of promptly and precisely detecting sensor irregularities. This approach accelerates the resolution of issues by providing immediate notifications and triggering automated actions when anomalies are discovered. By incorporating feedback and analyzing trends in anomalies, the effectiveness and precision of your alerts can be further improved. Amazon Lookout for Equipment serves as a machine learning solution for monitoring industrial machinery, detecting atypical behavior, and facilitating proactive strategies to avert unexpected downtimes. This service enables the quick identification of abnormal activity in your equipment, allowing for swift diagnosis and corrective measures to reduce unforeseen interruptions, all without requiring any prior knowledge of machine learning. Furthermore, this efficient method not only conserves valuable time but also significantly boosts overall effectiveness in industrial settings, contributing to a more resilient operational framework.

Media

Media

Integrations Supported

Amazon S3
Accenture Cloud Retail Execution
Accenture Cloud Trade Promotion Management
Amazon Attribution
Amazon Augmented AI (A2I)
Amazon SES
Amazon SageMaker
Amazon Simple Queue Service (SQS)
Booz Allen MDR
Cisco ACI
Cisco Adaptive Security Appliance (ASA)
Cisco Cloudlock
Cisco Evolved Programmable Network (EPN) Manager
Crewmeister
SAP Access Control
SAP Ariba
SAP Ariba Supply Chain Collaboration
Splunk SOAR

Integrations Supported

Amazon S3
Accenture Cloud Retail Execution
Accenture Cloud Trade Promotion Management
Amazon Attribution
Amazon Augmented AI (A2I)
Amazon SES
Amazon SageMaker
Amazon Simple Queue Service (SQS)
Booz Allen MDR
Cisco ACI
Cisco Adaptive Security Appliance (ASA)
Cisco Cloudlock
Cisco Evolved Programmable Network (EPN) Manager
Crewmeister
SAP Access Control
SAP Ariba
SAP Ariba Supply Chain Collaboration
Splunk SOAR

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Splunk

Date Founded

2003

Company Location

United States

Company Website

www.splunk.com/en_us/software/user-behavior-analytics.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lookout-for-equipment/

Categories and Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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