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Description

Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.

Description

Protecting against unseen dangers through user and entity behavior analytics is essential. This approach uncovers irregularities and hidden threats that conventional security measures often overlook. By automating the integration of numerous anomalies into a cohesive threat, security analysts can work more efficiently. Leverage advanced investigative features and robust behavioral baselines applicable to any entity, anomaly, or threat. Employ machine learning to automate threat detection, allowing for a more focused approach to hunting with high-fidelity, behavior-based alerts that facilitate prompt review and resolution. Quickly pinpoint anomalous entities without the need for human intervention. With a diverse array of over 65 anomaly types and more than 25 threat classifications spanning users, accounts, devices, and applications, organizations maximize their ability to identify and address threats and anomalies. This combination of human insight and machine intelligence empowers businesses to enhance their security posture significantly. Ultimately, the integration of these advanced capabilities leads to a more resilient and proactive defense against evolving threats.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Amazon Simple Notification Service (SNS) Yes 
AWS Lambda Yes 
Amazon No 
Amazon API Gateway No 
Amazon Chime No 
Amazon SageMaker No 
Amazon Simple Queue Service (SQS) No 
Amazon Web Services (AWS) No 
Cisco Cloudlock No 
Deloitte Vaccine Management System No 
Magellan Rx No 
Peromnes No 
SAP Adaptive Server Enterprise (ASE) No 
SAP Ariba No 
SAP Cloud Platform No 
Splunk Cloud Platform No 
Splunk Observability Cloud No 
Splunk On-Call No 

Integrations

Amazon S3 Yes 
Amazon Simple Notification Service (SNS) Yes 
AWS Lambda No 
Amazon Yes 
Amazon API Gateway Yes 
Amazon Chime Yes 
Amazon SageMaker Yes 
Amazon Simple Queue Service (SQS) Yes 
Amazon Web Services (AWS) Yes 
Cisco Cloudlock Yes 
Deloitte Vaccine Management System Yes 
Magellan Rx Yes 
Peromnes Yes 
SAP Adaptive Server Enterprise (ASE) Yes 
SAP Ariba Yes 
SAP Cloud Platform Yes 
Splunk Cloud Platform Yes 
Splunk Observability Cloud Yes 
Splunk On-Call Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Vendor Details

Company Name

Cisco

Founded

1984

Country

United States

Website

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

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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