BlackBerry Cylance Cybersecurity and Deep Instinct Prevention Platform are competitors in the AI-driven cybersecurity solutions category. Deep Instinct seems to have the upper hand with its user-friendly management and low false positive rates.
Features: BlackBerry Cylance Cybersecurity integrates AI-driven malware detection with minimal system impact and a robust centralized management dashboard, excelling in zero-day threat protection and endpoint security. Deep Instinct relies on advanced AI, incorporating deep learning for high accuracy in detecting unknown malware and offers a unified platform across various environments, recognized for its user-friendly management and low false positive rates.
Room for Improvement: BlackBerry Cylance Cybersecurity has room for enhancing its user interface, control and whitelisting features, and post-incident reporting while addressing cost-related feedback. Deep Instinct could improve reporting, expand OS support, and simplify deployment while navigating installation complexities and MSSP model challenges.
Ease of Deployment and Customer Service: Both solutions offer flexible deployment options, including cloud-based and on-premises, with Deep Instinct having a simpler deployment process. BlackBerry's technical support has mixed reviews, with reports of slow response times, unlike Deep Instinct, where users report satisfying customer service, particularly via managed providers.
Pricing and ROI: BlackBerry Cylance Cybersecurity is perceived as slightly expensive, with ROI linked to labor savings and breach prevention benefits. Deep Instinct is competitively priced with nonprofit rates, though some users find it costly for smaller deployments. Both products offer significant ROI through enhanced security and operational efficiency.
BlackBerry Cylance provides endpoint security, threat protection, and antivirus capabilities, using AI and machine learning for protection against malware and ransomware on desktops, servers, and virtual machines worldwide. Its AI-driven threat detection operates even with limited internet, facilitating effective threat management.
BlackBerry Cylance's centralized dashboard simplifies threat management and vulnerability protection for organizations globally. The platform combines AI and machine learning to deliver superior zero-day threat protection and minimize CPU usage, offering stable and accurate threat detection without frequent updates. It includes tools like CylanceOPTICS and CylancePERSONA for enhanced user behavior monitoring and adopts a proactive approach that effectively manages threats at various lifecycle stages. Renowned for stability and performance, it efficiently prevents unauthorized applications while maintaining system productivity.
What are the main features of BlackBerry Cylance?In the professional sector, BlackBerry Cylance is leveraged to protect crucial infrastructure through a robust approach accommodating environments with limited connectivity. Its widespread deployment in industries, including healthcare and finance, is attributed to its ease of deployment and comprehensive protection capabilities. However, enhancements in reporting, pricing structures, and technical support are avenues for development, reflecting user feedback for improving detection rates and overall dashboard usability.
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.
We monitor all Endpoint Protection Platform (EPP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.