Securonix Next-Gen SIEM and Vectra AI both compete in the advanced threat detection and response category. Securonix has the upper hand for cloud-first organizations due to its extensive cloud monitoring capabilities, while Vectra AI provides superior in-network traffic visibility through machine learning.
Features: Securonix Next-Gen SIEM offers advanced UEBA capabilities, robust cloud monitoring tools, and flexible use case customization, which reduce false positives and integrate efficiently with various cloud services. Vectra AI utilizes machine learning for precise incident detection, excels in network analytics, and provides actionable alerts while capturing network metadata at scale.
Room for Improvement: Securonix Next-Gen SIEM could enhance its integration with external solutions and user-friendly functionalities. Reporting customization and risk score accuracy need improvement, and the deployment process could be faster. Vectra AI could focus more on broadening its toolset beyond network-based capabilities and improve flexibility in integration management and detection alert platforms. Consolidating host identity data and license streamlining could enhance its appeal.
Ease of Deployment and Customer Service: Securonix Next-Gen SIEM provides diverse deployment options, including public and private clouds, and is known for its supportive customer service, although response times can be inconsistent. Vectra AI is mainly deployed on-premises and offers strong support levels but could benefit from improved third-party service integration for complete incident management.
Pricing and ROI: Securonix Next-Gen SIEM is competitively priced and cost-effective, appealing to high-end clients with its predictable pricing model based on employee numbers. It offers strong ROI through rapid deployment and reduced infrastructure management. Vectra AI's higher pricing is offset by its superior capabilities in effective threat detection, offering value by preventing significant losses and saving time despite complex licensing.
The solution is time-saving, particularly in the long run after it is deployed, enabling us to get value promptly.
If I raise a ticket, it initially goes to the L1 team, but the next level of escalation is really effective.
There is no UK-based support, which leads to delays in waiting for US support.
The support is quite reliable depending on the service engineer assigned.
The solution is scalable as it is cloud-based and cloud-native.
SIEM could have better integration with other technologies.
When dealing with a large amount of data, such as when firewall logs increase, queries sometimes crash or get stuck.
The passing and setup are quite complex at the beginning, making onboarding not smooth.
You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end.
Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources.
Licensing is based on events per second (EPS), costing between $50 to $60 per EPS.
The pricing has similar ingestion charges compared to other solutions, such as Splunk.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
The software includes user behavior interactions, dashboards, and training capabilities.
Now, the process is automatic, reducing our workload.
There are extensive out-of-box detection capabilities.
Securonix Next-Gen SIEM is a security information and event management solution designed to provide advanced threat detection, response, and compliance capabilities. It leverages machine learning and big data analytics to offer a comprehensive security platform for modern enterprises.
Securonix Next-Gen SIEM utilizes advanced analytics and machine learning to detect complex threats that traditional SIEM solutions might miss. Its architecture is built on Hadoop, enabling scalability and the processing of large volumes of data in real-time. This allows organizations to gain deep insights into security incidents, prioritize threats, and automate response actions. The solution also includes behavior analytics to detect insider threats and unknown attacks, integrating seamlessly with existing IT infrastructure.
What are the critical features of Securonix Next-Gen SIEM?
What is the ROI expectations?
Securonix Next-Gen SIEM is implemented across various industries, including finance, healthcare, and retail. Its flexibility and advanced analytics capabilities make it suitable for environments with complex security needs. In finance, it helps detect fraud, while in healthcare, it ensures patient data security. In retail, it protects against data breaches and payment fraud.
In summary, Securonix Next-Gen SIEM offers advanced threat detection, scalability, and integration capabilities, making it a robust solution for modern enterprises.
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?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.
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