Cortex XDR by Palo Alto Networks and Deep Instinct Prevention Platform compete in the cybersecurity solution category. Cortex XDR has the upper hand in comprehensive threat detection capabilities, while Deep Instinct excels in advanced prevention techniques leveraging deep learning.
Features: Cortex XDR by Palo Alto Networks offers advanced threat identification and response capabilities, excelling in incident response and endpoint protection. Deep Instinct Prevention Platform is recognized for its predictive threat detection and prevention mechanisms driven by deep learning. Users appreciate Cortex XDR's robust investigation tools, while Deep Instinct's strength lies in its proactive threat prevention.
Room for Improvement: Cortex XDR could improve by integrating more user-friendly options and enhancing scalability. Deep Instinct users recommend improving compatibility with existing security systems and bettering reporting tools. Both products have room for enhancement, but the areas differ based on their primary strengths and scope of improvements.
Ease of Deployment and Customer Service: Cortex XDR is relatively easy to deploy and backed by responsive customer service, though some users face challenges with the initial setup. Deep Instinct, while appreciated for its straightforward deployment process, garners mixed reviews regarding customer support efficacy. Cortex XDR has an edge in customer service, while Deep Instinct's deployment simplicity is notable.
Pricing and ROI: Cortex XDR tends to be perceived as a premium solution with a higher setup cost, but users often find it justifiable due to substantial ROI from enhanced security operations. Deep Instinct also commands a significant price but is deemed worth it due to its unique deep learning capabilities. Ultimately, both products offer good ROI, but user preferences vary based on the balance of cost versus specific feature advantages.
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:
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.”
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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