Gurucul UEBA vs OpenText Behavioral Signals vs Proofpoint Insider Threat Management comparison

Threats are a moving target. Determined and persistent threat actors purposely stretch out their activity across weeks or even months, especially when most SIEM and XDR solutions are incapable of piecing together events across time. Even worse, is that these solutions primarily use rule-based Machine Learning, which is essentially pattern matching. This makes them especially ineffective in detecting new attacks and/or variants, which are highly successful in breaching organizations. Discover how Gurucul UEBA security can help your enterprise.

OpenText Behavioral Signals enhances organizational security monitoring with its robust correlation engine and streamlined dashboard, offering customization to suit different environments like airports or banks.

OpenText Behavioral Signals effectively integrates device logs through its strong correlation engine. The platform's customization options enable tailored alerts to match specific use cases, such as airports or banks. Although it needs more frequent updates to stay aligned with global incidents, it provides a centralized dashboard that ensures comprehensive visibility across networks. Users find the interface intuitive, making rule writing and report access easy, aiding in a comprehensive understanding of the network environment.

• Correlation Engine: Integrates logs from diverse devices for seamless analysis.
• Customization: Tailors alerts based on specific industry needs such as banks.
• Centralized Dashboard: Offers complete visibility into network activities.
• Easy Rule Writing: Facilitates enhanced usability for users.
• Intuitive Interface: Provides streamlined access to reports and insights.

• Increased Security: Effective monitoring and alerts enhance network safety.
• Global Intelligence Gathering: Access to global attack notifications keeps organizations informed.
• Reduced False Positives: Improved accuracy in detecting genuine threats.
• Improved Log Management: Efficient handling of security and network device logs.

In industries like banking and airports, OpenText Behavioral Signals is implemented for gathering global intelligence from the cloud. It notifies organizations about global attacks and updates its correlation engines. These industries utilize the platform for monitoring and analyzing logs from network devices, security log management, and addressing network challenges like link failures and unauthorized login attempts, ensuring better security posture with behavioral analytics and log integration using Unix and Microsoft-based connectors.

Proofpoint Insider Threat Management offers effective security by detecting and mitigating insider threats through advanced analytics and user behavior monitoring, addressing cybersecurity needs effectively.

Proofpoint Insider Threat Management focuses on protecting organizations by providing visibility into insider activity. It identifies risky behaviors and anomalies, allowing for quick response. The technology uses robust analytics and tracking to safeguard data and intellectual property. It integrates with security infrastructures for a comprehensive approach, helping IT teams respond to potential threats in real-time.

• User Behavior Analytics: Tracks and analyzes user actions to identify potential insider threats.
• Data Loss Prevention: Prevents unauthorized data access and exfiltration.
• Incident Response: Facilitates swift response to threats with detailed insights.
• Risk Scoring: Provides risk assessment based on user activities and behaviors.
• Seamless Integration: Works with existing security systems for enhanced protection.

• Improved Security Posture: Enhances overall security by identifying internal risks.
• Efficient Threat Mitigation: Reduces response time to insider threats.
• Compliance Support: Helps meet regulatory requirements by securing sensitive information.
• Cost Efficiency: Protects against data breaches, reducing potential financial losses.

Proofpoint Insider Threat Management is widely used in industries such as finance and healthcare due to its ability to secure sensitive data and ensure compliance with industry regulations. Its implementation helps these sectors safeguard confidential information while maintaining operational integrity.