On a scale of one to ten, I would rate Panther an eight out of ten. I give it an eight out of ten because, although it is a good tool, we are currently exploring Wiz as an option, which sometimes provides more detailed insights compared to Panther. Ultimately, both tools are similar, but we are still in the discovery phase as we consider our options. Panther is a reputed tool in terms of AI governance and security. We base our confidence on the trust it has garnered and its security certifications along with risk assessments, so we feel comfortable with the data it handles. Regarding Panther's accuracy and reliability of output, I would rate it at 70 percent since, at times, it identifies findings as valid when they may actually be false positives, which we have experienced in a few cases. My advice for those looking to use Panther is that if you are aiming to reduce time, resources, and enhance efficiency, Panther's AI Triage is an excellent option. If it had the capability to scale with additional organizational knowledge, it would be an even more effective tool for triaging alerts. I believe Panther is a good tool. The AI Triage feature saves a considerable amount of time, and if it were to incorporate organizational knowledge, it could provide finer-tuned results. For instance, if it can relate incidents, such as identifying a port scan, to our Jira data, it could determine whether it was likely a false positive based on existing knowledge. If it could integrate diverse contextual data, it would enhance its effectiveness considerably. My overall rating for this product is eight out of ten.
My advice for others looking into using Panther is first to understand their requirements. If an organization has both cloud and on-prem environments, Panther becomes even more valuable, especially for those with extensive cloud data and analysts spending significant time investigating or correlating logs, as Panther's AI SOC workflow helps enhance operational efficiency. Panther's output has been consistent in terms of accuracy and reliability, depending on relevant alerts and use cases. We trained their AI platform based on our logs, significantly reducing issues, allowing our team to focus on specific alert parts or incidents. Practically speaking, Panther commonly integrates with AWS in our environment and can connect with Azure and other cloud-native services depending on the architecture, leveraging AWS-related telemetry visibilities. Panther is integrated within our cloud-centric SOC environments, connecting to multiple telemetry sources throughout our enterprise. We purchased Panther directly from sales, not through the AWS Marketplace, and our company acts as a reseller for Panther based on my prior experience. I would rate this review an eight out of ten.
Infosec Analyst at a tech vendor with 201-500 employees
Real User
Top 5
Mar 4, 2025
I would recommend Panther to other companies because of its ease of use. The infrastructure as code feature allows using Git repositories for secure detections. Overall, I would rate the solution eight out of ten.
Find out what your peers are saying about Panther, Sumo Logic, Anvilogic and others in Security Information and Event Management (SIEM). Updated: May 2026.
SIEM integrates real-time monitoring with advanced analysis of security events. It consolidates functions to provide comprehensive threat detection and response, enhancing organizational security measures.SIEM solutions offer extensive threat intelligence, enabling security teams to detect anomalies and incidents effectively. They provide a centralized view of an organization's security posture, combining various data sources and offering sophisticated correlation and monitoring tools....
On a scale of one to ten, I would rate Panther an eight out of ten. I give it an eight out of ten because, although it is a good tool, we are currently exploring Wiz as an option, which sometimes provides more detailed insights compared to Panther. Ultimately, both tools are similar, but we are still in the discovery phase as we consider our options. Panther is a reputed tool in terms of AI governance and security. We base our confidence on the trust it has garnered and its security certifications along with risk assessments, so we feel comfortable with the data it handles. Regarding Panther's accuracy and reliability of output, I would rate it at 70 percent since, at times, it identifies findings as valid when they may actually be false positives, which we have experienced in a few cases. My advice for those looking to use Panther is that if you are aiming to reduce time, resources, and enhance efficiency, Panther's AI Triage is an excellent option. If it had the capability to scale with additional organizational knowledge, it would be an even more effective tool for triaging alerts. I believe Panther is a good tool. The AI Triage feature saves a considerable amount of time, and if it were to incorporate organizational knowledge, it could provide finer-tuned results. For instance, if it can relate incidents, such as identifying a port scan, to our Jira data, it could determine whether it was likely a false positive based on existing knowledge. If it could integrate diverse contextual data, it would enhance its effectiveness considerably. My overall rating for this product is eight out of ten.
My advice for others looking into using Panther is first to understand their requirements. If an organization has both cloud and on-prem environments, Panther becomes even more valuable, especially for those with extensive cloud data and analysts spending significant time investigating or correlating logs, as Panther's AI SOC workflow helps enhance operational efficiency. Panther's output has been consistent in terms of accuracy and reliability, depending on relevant alerts and use cases. We trained their AI platform based on our logs, significantly reducing issues, allowing our team to focus on specific alert parts or incidents. Practically speaking, Panther commonly integrates with AWS in our environment and can connect with Azure and other cloud-native services depending on the architecture, leveraging AWS-related telemetry visibilities. Panther is integrated within our cloud-centric SOC environments, connecting to multiple telemetry sources throughout our enterprise. We purchased Panther directly from sales, not through the AWS Marketplace, and our company acts as a reseller for Panther based on my prior experience. I would rate this review an eight out of ten.
I would recommend Panther to other companies because of its ease of use. The infrastructure as code feature allows using Git repositories for secure detections. Overall, I would rate the solution eight out of ten.