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.”
Vectra AI is used for detecting network anomalies and potential malicious activities, providing visibility into network traffic and enhancing threat detection across environments.
Organizations deploy Vectra AI mainly on-premises with additional cloud components. It helps with compliance, incident response, security monitoring, detecting insider threats, and correlating network events. Vectra AI captures and enriches network metadata, provides detailed dashboards, reduces false positives, and supports cross-environment behavioral analysis to enhance threat detection and prioritization. While valued for its high accuracy and alert aggregation, it has room for improvement in UI/UX, packet management, and integration with SIEMs and other tools. It is noted for expensive pricing and limited proactive threat response features.
What are Vectra AI's most valuable features?
- High accuracy in identifying threat locations
- Aggregation of alerts into single incidents
- 24/7 threat detection
- Visibility into the entire attack lifecycle
- Risk score aggregation
- Effective triaging of alerts
- Integration with other tools
What benefits or ROI should users look for?
- Enhanced threat detection and prioritization
- Comprehensive network visibility
- Reduction in false positives
- Better incident response capabilities
- Improved compliance monitoring
In specific industries, Vectra AI is deployed to monitor complex networks and alleviate challenges in threat detection. It is particularly effective in sectors requiring stringent compliance and security measures, offering insights and capabilities crucial for protecting sensitive data and maintaining operational integrity.
