Trellix ESM and OpenText Behavioral Signals compete in the enterprise security ecosystem. Trellix ESM holds an advantage with broad features and customer service, while OpenText Behavioral Signals gains the upper hand in advanced analytics capabilities.
Features: Trellix ESM includes comprehensive threat detection, integration with various security platforms, and real-time data analysis, which enhance security posture. OpenText Behavioral Signals focuses on behavioral data, offering sophisticated analytics for predicting user behavior and potential security threats. The primary difference is Trellix's holistic threat management versus OpenText's advanced behavior prediction.
Room for Improvement: Trellix ESM could improve by expanding device coverage to minimize dependency on custom parsers and by enhancing integration flexibility to support greater customizability. The user interface could be more intuitive. OpenText Behavioral Signals may benefit from a simplified deployment process to ease initial configuration, along with enhanced real-time analytics capabilities and improved data visualization tools for clearer insights.
Ease of Deployment and Customer Service: Trellix ESM offers an efficient deployment process with robust support services, ensuring a smooth initial setup. OpenText Behavioral Signals requires a more intricate setup due to its specialized analytics, yet compensates with responsive customer support. Trellix stands out for ease of setup, while OpenText excels in customer support and detailed configuration.
Pricing and ROI: Trellix ESM generally presents higher initial costs that lead to significant long-term security returns through threat reduction and efficiency. OpenText Behavioral Signals offers moderate setup costs, with a potentially quicker ROI due to precise behavioral insights. Trellix involves higher upfront investments, whereas OpenText presents balanced costs with early ROI benefits.
I would rate support for Trellix ESM 10 out of 10 because if we connect with the support in the UK, we get excellent support.
It's rare for me to need them unless it's an issue with licensing, and they are the best in that regard.
Scalability is quite easier with Trellix ESM, because all we need to do is add more receivers to it, so it can go to any point.
If there is any device which is not covered, there should not be any additional charges for writing the custom parsers on that.
The weakest point is it doesn't cover almost all the devices, so the customer has to be more dependent on the parsers to be written by the Professional Services team.
| Product | Market Share (%) |
|---|---|
| Trellix ESM | 1.1% |
| OpenText Behavioral Signals | 0.5% |
| Other | 98.4% |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 6 |
| Large Enterprise | 24 |
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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