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| Product | Market Share (%) |
|---|---|
| Securonix Next-Gen SIEM | 1.1% |
| SenSage AP | 0.2% |
| Other | 98.7% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 5 |
| Large Enterprise | 19 |
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.
Ignite’s SenSage AP is anEvent Data Warehouse (EDW) that enables advanced data analysis, detailed forensics and ad hoc investigations on a wide variety of data formats at very large scale. As an EDW designed specifically for event data, it collects and stores more data, from more sources, over longer periods of time – years or even decades – so that you can conduct faster, more sophisticated analytics.
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