

OpenText Behavioral Signals and DNIF HYPERCLOUD compete in the advanced analytics category. DNIF HYPERCLOUD has the upper hand due to its comprehensive feature set, despite OpenText Behavioral Signals having better pricing and support feedback.
Features: OpenText Behavioral Signals includes sophisticated voice analysis, user feedback-derived data insights, and efficient deployment. DNIF HYPERCLOUD features an expansive security analytics platform, advanced threat detection, and enhanced search capabilities.
Room for Improvement: OpenText Behavioral Signals could improve its security features, expand analysis capabilities, and increase search functionality. DNIF HYPERCLOUD can enhance its customer support, simplify its deployment process, and offer more competitive pricing.
Ease of Deployment and Customer Service: OpenText Behavioral Signals offers straightforward deployment with responsive support. DNIF HYPERCLOUD's deployment is more complex but offers a robust feature set. However, its customer service does not match OpenText's efficiency.
Pricing and ROI: OpenText Behavioral Signals provides reasonable initial costs with good ROI for businesses focusing on behavioral insights. DNIF HYPERCLOUD, while higher priced, provides substantial ROI for organizations requiring robust security analytics solutions.
| Product | Market Share (%) |
|---|---|
| OpenText Behavioral Signals | 0.7% |
| DNIF HYPERCLOUD | 0.8% |
| Other | 98.5% |


| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
DNIF HYPERCLOUD is a cloud native platform that brings the functionality of SIEM, UEBA and SOAR into a single continuous workflow to solve cybersecurity challenges at scale. DNIF HYPERCLOUD is the flagship SaaS platform from NETMONASTERY that delivers key detection functionality using big data analytics and machine learning. NETMONASTERY aims to deliver a platform that helps customers in ingesting machine data and automatically identify anomalies in these data streams using machine learning and outlier detection algorithms. The objective is to make it easy for untrained engineers and analysts to use the platform and extract benefit reliably and efficiently.
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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