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Description
Be aware of the indicators that suggest privileged account misuse. Notable signs include a sudden surge in access to privileged accounts by specific users or systems, unusual patterns of access to the most sensitive accounts or secrets, multiple privileged accounts being accessed simultaneously, and logins occurring at odd hours or from unexpected locations. Utilizing Privileged Behavior Analytics can effectively identify these irregularities and promptly notify your security team of a potential cyber threat or insider risk before a major breach occurs. With the help of Delinea's Privileged Behavior Analytics, which employs sophisticated machine learning techniques, you can monitor privileged account activities in real-time to detect anomalies and generate threat assessments along with customizable alerts. This advanced technology scrutinizes all actions associated with privileged accounts, allowing you to recognize issues and evaluate the severity of a potential breach. By enhancing security measures, your organization can significantly lower security risks, ultimately saving your department valuable time, resources, and money while optimizing the investment you have already made in security solutions. Additionally, staying vigilant about these warning signs fosters a culture of cybersecurity awareness within your organization.
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
API Access
Has API
Integrations
Amazon AppFlow
Amazon Athena
Amazon Attribution
Amazon Aurora
Amazon Chime
Amazon Simple Notification Service (SNS)
Amazon SimpleDB
Booz Allen MDR
Cisco Evolved Programmable Network (EPN) Manager
Cisco Nexus Dashboard Fabric Controller
Integrations
Amazon AppFlow
Amazon Athena
Amazon Attribution
Amazon Aurora
Amazon Chime
Amazon Simple Notification Service (SNS)
Amazon SimpleDB
Booz Allen MDR
Cisco Evolved Programmable Network (EPN) Manager
Cisco Nexus Dashboard Fabric Controller
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Delinea
Country
United States
Website
delinea.com/products/privileged-behavior-analytics
Vendor Details
Company Name
Cisco
Founded
1984
Country
United States
Website
www.splunk.com/en_us/products/user-behavior-analytics.html