Sold by: E&M Computing Ltd
Deployed on AWS
EMET malicious user journey analytics for SAP powered by Reveal Security is a leading security analytics tool that uses user journey analytics to detect threats and fraud at the application layer. It provides enriched context for anomaly detection and enables better accuracy based on journeys, as opposed to outcomes. This results in higher quality alerts that help security analysts reduce wasted time on false positives.
Overview
EMET malicious user journey analytics for SAP powered by Reveal Security is a leading security analytics tool that uses user journey analytics to detect malicious activity for SAP.
The solution provides the following benefits:
- User Journey Analytics: User Journey Analytics is based on the analysis of activity sequences performed while using an application, in contrast with UEBA, which analyzes each activity individually and then builds a timeline. The sequence provides enriched context for anomaly detection and enables better accuracy based on journeys, as opposed to outcomes. Higher quality alerts mean security analysts reduce wasted time on false positives and alert for cases other products fail to notice.
- Multiple Journey Profiles per User: Leveraging RevealSecurity's patented clustering engine - tailored for clustering user journeys - TrackerIQ automatically learns multiple journey profiles across applications. Detecting anomalous journeys by comparing users to themselves and their peers provides an extremely high signal-to-noise ratio.
- Application Layer Detection and Response: TrackerIQ complements XDR solutions at the business application layer to detect threats and fraud. Existing detection solutions are focused on the infrastructure layers and on access to business applications, resulting in very limited effectiveness against malicious insiders as well as external attackers who succeed to bypass authentication mechanisms.
- Application Agnostic Detection: The detection model is applied to any SaaS or custom-built application, analyzing user journeys in and across applications to detect anomalies. This model eliminates the need to understand business application logic and no rules are required.
For Splunk customers, TrackerIQ connects natively to Splunk, offering simpler, streamlined deployment. EMET's Splunk experts will assist Splunk customers to configure and connect their Splunk and TrackerIQ deployments for an easy deployment experience. The product pricing includes up to 1 million log records processed per month. For more than 1 million log records processed per month, please ask for a private pricing proposal.
Highlights
- Application User Journey Analytics - User Journey Analytics is based on the analysis of activity sequences performed while using an application, in contrast with UEBA, which analyzes each activity on its own and then builds a timeline. The sequence provides enriched context for anomaly detection and enables better accuracy based on journeys, as opposed to outcomes. Higher quality alerts means security analysts reduce wasted time on false positives and alert on previously undetected cases.
- Multiple Journey Profiles per User - Leveraging RevealSecurity's patented clustering engine - tailored for clustering user journeys - TrackerIQ automatically learns multiple journey profiles per user across applications. Detecting anomalous journeys by comparing users to themselves and their peers provides an extremely high signal-to-noise ratio.
- Application Layer Detection and Response - TrackerIQ complements XDR solutions at the business application layer to detect threats and fraud. Existing detection solutions are focused on the infrastructure layers and on access to business applications, resulting in very limited effectiveness against malicious insiders as well as external attackers who succeed to bypass authentication mechanisms.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.xlarge Recommended | $120.00 |
m5.2xlarge | $120.00 |
c4.2xlarge | $120.00 |
m5.4xlarge | $120.00 |
t2.xlarge | $120.00 |
Dimensions summary
You pay by the hour for the EC2 instance size you run this software on. All five options bill on the same usage-based model, differing only by compute capacity. The m5.xlarge and t2.xlarge give you smaller footprints. The m5.2xlarge and c4.2xlarge step up in resources. The m5.4xlarge provides the largest configuration listed. Pricing scales with the instance you select, so you match compute to your workload. Your total cost rises with instance size and the number of hours you run it. There are no upfront commitments in this model.
Top-of-mind questions for buyers
Each unit is one hour that a chosen EC2 instance runs the software. You are billed per instance-hour for the size you select, such as m5.xlarge or c4.2xlarge. Larger instances carry a higher hourly rate. Metering counts the running time of each active instance.
Software charges apply only while the instance runs. A stopped or terminated instance stops accruing software fees. Note that stopped instances may still incur underlying AWS storage costs for attached volumes, but the software licence meters running hours only.
It analyzes user journey behavior in SAP environments to detect malicious or risky activity. The software observes identity behavior, scores events, and flags anomalies. The instance size you choose provides the compute for this analysis, so heavier monitoring workloads may need a larger instance.
www.reveal.security
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
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EMET malicious user journey analytics powered by Reveal Security is a leading security analytics tool that uses user journey analytics to detect threats and fraud at the application layer. It provides enriched context for anomaly detection and enables better accuracy based on journeys, as opposed to outcomes. This results in higher-quality alerts that help security analysts reduce wasted time on false positives. This is the "custom application edition" of the product.
EMET malicious user journey analytics powered by Reveal Security is a leading security analytics tool that uses user journey analytics to detect threats and fraud at the application layer. It provides enriched context for anomaly detection and enables better accuracy based on journeys, as opposed to outcomes. This results in higher quality alerts that help security analysts reduce wasted time on false positives. This Edition supports MS365, Salesforce, OKTA, AWS, AZURE, Dynamics 365 (other SaaS applications are to be discussed separately)
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