

BlackBerry Cylance Cybersecurity and Deep Instinct Prevention Platform are competitors in the cybersecurity market, focusing on endpoint threat prevention. Deep Instinct has a slight edge due to its advanced deep learning capabilities, offering high detection rates with minimal false positives.
Features: BlackBerry Cylance Cybersecurity employs AI and ML to provide robust endpoint protection with minimal system impact. It effectively detects zero-day threats and offers script blocking and centralized management for simplified administration. Deep Instinct uses deep learning for proactive threat prevention, detecting unknown malware without needing signatures. It boasts high detection rates and is compatible across multiple operating systems, which users find lightweight and easy to deploy.
Room for Improvement: BlackBerry Cylance Cybersecurity could improve by reducing high false positives and integrating firewall features. The additional cost for its OPTICS add-on and the need for a better user interface are noted areas for enhancement. Deep Instinct could enhance its UI and reporting features for improved incident insights. Expanding integration with SIEM and supporting more operating systems, such as Linux, would foster broader security applications. Installation challenges and resource consumption during detections are also areas for attention.
Ease of Deployment and Customer Service: Both products offer versatile deployment models, including on-premises and cloud options. BlackBerry Cylance is praised for its ease of configuration with minimal maintenance required. Feedback on technical support is mixed, with some experiencing delays. Deep Instinct is noted for excellent technical support and low maintenance, attributed to its straightforward licensing and deployment process.
Pricing and ROI: BlackBerry Cylance offers affordable upfront pricing, considered slightly expensive by some, but provides significant ROI through reduced security incident response times. Deep Instinct's competitive pricing is appealing, especially for nonprofits, but its console cost can be high for smaller installations. Users find its comprehensive prevention capabilities offer reasonable pricing and solid ROI through reduced labor hours and effective threat handling.
| Product | Market Share (%) |
|---|---|
| BlackBerry Cylance Cybersecurity | 1.3% |
| Deep Instinct Prevention Platform | 0.9% |
| Other | 97.8% |


| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 5 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| 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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