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.
Organizations use Securonix Next-Gen SIEM for protecting intellectual property, monitoring insider threats, detecting privilege misuse, and preventing data loss. It helps in managing cloud applications and infrastructure, ensuring security, and enabling user behavior analytics. Clients benefit from reduced threat detection time and effective monitoring of attacks such as brute force and ransomware. It also assists in correlating security events, enhancing managed SOC operations, and integrating with frameworks like MITRE ATT&CK.
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.
Securonix Next-Gen SIEM was previously known as Securonix Security Analytics.
Dtex Systems, Pfizer, Western Union, Harris, ITG