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ease
features
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support

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Description

OpenText™ Core Behavioral Signals is a sophisticated threat detection tool that uses unsupervised machine learning and user entity behavior analytics (UEBA) to uncover behavioral anomalies that signal insider threats, advanced persistent threats, and novel attacks. Its 100% online learning models automatically adapt to the unique behavior patterns of an organization, eliminating the need for constant rule maintenance or threshold updates. This continuous adaptation helps threat hunters detect hard-to-find attacks that traditional rule-based systems might miss. The solution converts vast amounts of data into a focused set of actionable alerts, significantly increasing analyst productivity. Its intuitive dashboards offer a high-level organizational risk overview, while detailed risk timelines and anomaly visualizations assist in deep investigations. Core Behavioral Signals also supports real-time collaboration among analysts, enabling faster threat identification and response. Integration with SOAR and ticketing systems allows for automated workflows and incident management. OpenText provides professional services and expert support to ensure successful deployment and optimization.

Description

Uncover innovative solutions designed to revolutionize the way you protect your organization's data across various clouds, devices, and platforms. Navigate data vulnerabilities through effective pseudonymization and robust security measures. Unveil concealed threats with adaptable machine learning models that do not necessitate endpoint agents. Collaborate seamlessly with teams from security, human resources, and legal sectors through integrated investigative processes. Proactively recognize, examine, and swiftly respond to potential insider threats. Perform a thorough assessment of possible insider risks within your organization without needing to set up any insider risk policies beforehand. Instantly generate a policy using customizable machine learning frameworks that eliminate the need for scripting or endpoint deployment. Detect risks related to patient data misuse through built-in indicators and monitors that leverage information from electronic medical record systems. Gain clarity on the context of alerts to streamline your investigative efforts toward the most concerning activities, ensuring a comprehensive approach to data security. This proactive stance not only enhances your risk management strategies but also fortifies trust within your organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
DNSSense
Google Digital Risk Protection
Microsoft 365 E5 Compliance
Microsoft Purview
Securden Password Vault for Enterprises
Securden Unified PAM
Symantec Network Forensics

Integrations

Azure Marketplace
DNSSense
Google Digital Risk Protection
Microsoft 365 E5 Compliance
Microsoft Purview
Securden Password Vault for Enterprises
Securden Unified PAM
Symantec Network Forensics

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

OpenText

Founded

1991

Country

Canada

Website

www.opentext.com/products/behavioral-signals

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

www.microsoft.com/en-us/security/business/risk-management/microsoft-purview-insider-risk-management

Product Features

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