

BlackBerry Cylance Cybersecurity and Deep Instinct Prevention Platform are leading solutions in the cybersecurity category. Deep Instinct seems to have the upper hand in detection rates and proactive threat prevention.
Features: BlackBerry Cylance Cybersecurity offers AI and ML-based virus protection, a lightweight design, and efficient centralized endpoint management. Deep Instinct Prevention Platform boasts high detection rates with deep learning-based threat prevention, seamless operation across devices, and an efficient malware classification system.
Room for Improvement: BlackBerry users highlight the need for enhanced reporting, a better interface, and reduced false positives, along with improved integration with other security tools. Deep Instinct could improve its reporting features, ease of deployment, especially in clustered modes, and expand its OS support to include Linux.
Ease of Deployment and Customer Service: BlackBerry offers flexible deployment across hybrid and public clouds but faces mixed reviews on customer support responsiveness. Deep Instinct provides simple configuration and receives high praise for its technical support and ease of deployment.
Pricing and ROI: BlackBerry is perceived to be on the high-cost side, yet users find the investment worthwhile due to its solid security features, though opinions vary on fairness compared to competitors. Deep Instinct offers competitive pricing, though console costs may be high, with users noting its low administrative overhead as a cost-saving benefit. Both products are seen as providing good ROI in reducing labor and preventing downtime.
| Product | Market Share (%) |
|---|---|
| BlackBerry Cylance Cybersecurity | 1.1% |
| Deep Instinct Prevention Platform | 0.7% |
| Other | 98.2% |


| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 5 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 4 |
| Large Enterprise | 5 |
BlackBerry Cylance Cybersecurity leverages AI and machine learning for efficient malware detection and zero-day threat protection, offering robust endpoint security with high detection accuracy and low false positive rates.
BlackBerry Cylance Cybersecurity delivers advanced threat protection with AI-driven algorithms and machine learning. Its lightweight design ensures low system resource usage, making it both efficient and effective. It's recognized for centralized management, easy deployment, and a clean interface, providing comprehensive endpoint protection against diverse threats. The integration of features like CylanceOPTICS and behavioral monitoring enhances security insights. While the system excels in malware detection, enhancements are needed in areas like user interface design, reporting, deeper threat analysis, and integration with third-party systems. Support and pricing improvements could also increase competitiveness.
What are the key features of BlackBerry Cylance Cybersecurity?Organizations deploy BlackBerry Cylance Cybersecurity for threat analytics, log management, and endpoint protection. As an antivirus replacement, it protects against zero-day malware, ransomware, and various threats. Its AI algorithms detect anomalies, minimizing risks in both internet-connected and isolated environments. Many businesses incorporate it into wider security strategies, appreciating its centralized management and proactive defense capabilities.
Deep Instinct PREVENTS >99% of UNKNOWN threats like ransomware and zero-days before they land inside your environment – not after. With both an agentless and agent-based approach, we ensure file-based and fileless attacks are prevented. To achieve this, Deep Instinct is pioneering the use of deep learning AI to prevent threats in <20ms, without requiring calls to the cloud for threat intelligence. Our ability to scale to the needs of the enterprise is unprecedented as is our delivery of the industry’s lowest false positive rate of <0.1%.
The Deep Instinct Prevention Platform combines industry-leading static analysis based on the only deep learning framework dedicated to cybersecurity and includes two solutions:
To learn more, visit: https://www.deepinstinct.com.
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