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Description
Identify and flag any files or user behaviors that present a significant risk warranting attention from business management. This user and entity behavior analytics (UEBA) system employs advanced, rule-driven modeling to analyze various data sources, helping to identify established behavioral norms and detect potentially harmful activities. By conducting thorough analysis, it can significantly lower the risk of insider threats, which are notoriously hard to identify due to the insider's familiarity with security protocols and their ability to circumvent them. Monitor for abnormal events, such as logins from user accounts belonging to former employees, users logging in from multiple locations at once, or unauthorized individuals accessing an excessive number of sensitive documents. Additionally, keep an eye on file-related risks, including unauthorized attempts to decrypt confidential information. User-specific risks should also be observed, such as an increase in the frequency of file decryption, an uptick in printing after business hours, or a rise in the number of files sent to external parties. Overall, this comprehensive approach aims to enhance organizational security by proactively identifying potential threats.
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
No
API Access
Has API
No
Integrations
Accenture Cloud Retail Execution
No
Amazon Ads
No
Amazon S3
No
Amazon SES
No
Amazon Sumerian
No
Amazon Web Services (AWS)
No
Cisco ACI
No
Cisco Spaces
No
Deloitte Vaccine Management System
No
Eviden MDR Service
No
Integrations
Accenture Cloud Retail Execution
Yes
Amazon Ads
Yes
Amazon S3
Yes
Amazon SES
Yes
Amazon Sumerian
Yes
Amazon Web Services (AWS)
Yes
Cisco ACI
Yes
Cisco Spaces
Yes
Deloitte Vaccine Management System
Yes
Eviden MDR Service
Yes
Pricing Details
No price information available.
Free Trial
No
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
Yes
Live Rep (24/7)
No
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)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Fasoo
Country
United States
Website
en.fasoo.com/products/fasoo-riskview/
Vendor Details
Company Name
Cisco
Founded
1984
Country
United States
Website
www.splunk.com/en_us/products/user-behavior-analytics.html
