

OpenText Behavioral Signals and Cynet are competing products with strengths in distinct areas, making them suitable for different business needs. OpenText Behavioral Signals excels in sentiment analysis and emotional insights, while Cynet offers robust security management.
Features: OpenText Behavioral Signals provides advanced sentiment detection and voice analysis. It highlights strengths in understanding emotional cues and offers real-time responses. Cynet has comprehensive threat detection capabilities, robust endpoint protection, and includes user behavior analysis.
Room for Improvement: OpenText Behavioral Signals could improve scalability for larger enterprises, enhance integration with third-party tools, and provide better data handling. Cynet could refine its dashboard interface, streamline its alert system for less noise, and enhance customization options for specific environments.
Ease of Deployment and Customer Service: OpenText Behavioral Signals has an intuitive deployment model with strong support services to ensure smooth integration. Cynet offers simplified deployment and stands out for its responsive customer support team, enhancing user experience during setup and maintenance.
Pricing and ROI: OpenText Behavioral Signals presents competitive pricing with a promising ROI in analytics, though setup costs are modestly higher. Cynet, with slightly higher initial setup cost, ensures significant ROI through enhanced security features, emphasizing long-term value.
The return on investment with Cynet is pretty good, as it doesn't require a dedicated resource to manage, being highly automated.
Based on our needs, they schedule remote sessions and resolve the issues.
My experience with the technical support of Cynet is excellent; they are just one click away.
Their SOC side support, when a threat is detected, is excellent.
The solution is highly scalable.
We can deploy Cynet for 50,000 users, and we have deployed it at that scale, with the capability to scale higher to 100,000 users without any challenges.
The solution is easy to scale.
Within six years of usage, we have not had any issues such as outages or downtime.
There should be more options than deploying solely through group policy, as the assumption that GPO is working isn’t always the case.
One area where Cynet needs improvement is tamper protection for Mac and Linux agents.
Having a DLP feature would also add value.
Cynet does not ask for additional costs for add-on features.
I think the pricing of Cynet is fair and one of the better options in the market.
The price of Cynet is reasonable considering its features and support.
These features manage our infrastructure's cybersecurity effectively.
The SOAR function, deception, and forensics are very useful.
The most valuable feature is the UBA (User behavior analysis). It has integration with SIEM solutions, allowing us to share our logs to third-party SIEM servers.
| Product | Market Share (%) |
|---|---|
| Cynet | 0.9% |
| OpenText Behavioral Signals | 0.7% |
| Other | 98.4% |


| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 7 |
| Large Enterprise | 12 |
Cynet provides comprehensive endpoint protection and advanced threat detection, offering intuitive deployment and monitored support. It ensures real-time visibility and minimal management, enhancing security for diverse and remote teams.
Cynet integrates seamlessly with existing infrastructure, providing an efficient solution for endpoint protection, threat detection, and response. Its automation, scalability, and stability are key benefits. Users benefit from real-time network visibility, ransomware protection, and deception capabilities. Cynet serves as a robust alternative to CrowdStrike, offering a multifaceted approach to security operations, especially in environments needing continuous threat monitoring and zero-day threat management. Areas needing improvement include mobile device support, enhanced reporting, third-party integrations, and AI-based detection.
What are Cynet's most important features?In the financial sector, Cynet's ability to support efficient threat detection and endpoint protection is crucial. Healthcare industries leverage its data protection features for compliance and security. In manufacturing, real-time threat monitoring supports safeguarding intellectual property. Retail sectors benefit from its scalability and minimal management demands, helping secure diverse, distributed locations.
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.
What are the key features of OpenText Behavioral Signals?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.
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