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?
- Minimal CPU Usage: Efficiently operates without taxing computer resources.
- AI and Machine Learning: Advanced technology for zero-day threat protection.
- Lightweight Design: Functions without constant updates for simplified usage.
- Centralized Management: Offers a user-friendly, intuitive dashboard.
- CylanceOPTICS and PERSONA: Tools for in-depth user behavior analysis.
What are key benefits to look for in user reviews?
- Effective Malware Detection: Recognized accuracy in identifying security threats.
- Proactive Threat Mitigation: Actively detects and manages threats.
- Stability and Performance: Consistent protection without hampering system performance.
- Reduced Unauthorized Access: Limits unpermitted application activity.
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.
Cortex XDR by Palo Alto Networks is the first threat detection and response software to combine both visibility across all types of data as well as autonomous machine learning analytics. Threat detection very often requires analysts to divide their attention among many different data streams. This platform unifies a vast variety of data flows, which allows analysts to assess threats from a single location. Users can now maintain a level of visibility that other threat detection programs simply cannot offer. This level of transparency lends itself to both quick identification of problems that arise and the equally quick development of a potential solution.
Cortex XDR’s machine learning works on many different levels to detect and prevent threats. It is constantly scanning for threats and vulnerabilities. The solution can scan up to 5.4 billion IP addresses in three-quarters of an hour. This allows it to spot weak points in the system and notify administrators long before hackers can take advantage of vulnerabilities. Once the Artificial Intelligence (AI) discovers an issue or an area where an issue could potentially take place the system creates a log of the information and subsequently sends an alert to system administrators. The AI takes the information that it has gathered and uses it to assign threat levels to the issues that it detects. Following this, a human analyst will be assigned to manually assess the issue and deal with it accordingly. You can set it to automatically respond to the threat by isolating the issue while analysts investigate it.
Benefits of Cortex XDR
Some of Cortex XDR’s benefits include:
- The use of advanced AI analytics, behavior analytics, and custom-made detection to detect advanced threats before they occur.
- The ability to group similar threat alerts, reducing incoming alerts by as much as 98%. This allows analysts to avoid being overwhelmed by the volume of incoming alerts.
- The ability to investigate threats as much as 8 times faster than would be possible with other software. The machine learning, when coupled with the unified data stream that Cortex XDR collects, significantly increases the ability to more quickly discover the root cause of a threat.
Reviews from Real Users
Cortex XDR by Palo Alto Networks software stands out among its competitors for a number of reasons. Two major ones are its ability to isolate threats while enabling them to be studied and the way that the software combines all of the data that it gathers into a single, more complete picture than other solutions offer.
PeerSpot users note the effectiveness of these features. A network designer at a computer software company wrote, “The solution has a very helpful isolation feature. If any system gets compromised, with one click I can access the system and isolate it from other networks, and then go into further forensic investigation of the current threat without compromising anything else.”
Jeff W., Vice President/CTO at Sinnott Wolach Technology Group, noted, “The ability to kind of stitch everything together and see the actual complete picture is very useful. I guess you'd call it a playbook. Some people call it the forensics analysis of what was happening on particular endpoints when they detected some malicious behavior, and what transpired before that to cause that. It is also very user friendly.”
