{"id":17955,"date":"2023-12-13T04:18:40","date_gmt":"2023-12-13T04:18:40","guid":{"rendered":"https:\/\/businessyield.com\/tech\/?p=17955"},"modified":"2024-01-05T04:18:57","modified_gmt":"2024-01-05T04:18:57","slug":"securonix-review-features-and-competitors-2024","status":"publish","type":"post","link":"https:\/\/businessyield.com\/tech\/cyber-security\/securonix-review-features-and-competitors-2024\/","title":{"rendered":"Securonix: Review, Features and Competitors 2024","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"
In this age of advanced cyber threats and big data, Securonix provides a platform for next-gen security analytics and operations management. Customers all over the world use Securonix to monitor application security, cloud security, fraud, cyber threats, and insider threats. Continue reading for more information about Securonix Siem, Sypr, and various competitors.<\/p>
Securonix automatically responds to advanced threats by collecting large amounts of data in real time, analyzing it with new machine learning algorithms, letting you analyze the most important alarms quickly, and providing actionable security knowledge.<\/p>
Also, Securonix is bringing about a paradigm shift in the detection of cyber threats by utilizing machine learning and big data. Using machine learning, our purpose-built security analytics solution monitors and records system, account, and user activity; it then uses this data to identify sophisticated fraud, cyber, and insider threats as they occur in real-time.<\/p>
Securonix goes beyond just detecting threats; it also hunts for them and responds to them automatically. SOC analysts can search across various data sources and react using automated playbooks that have already been established.<\/p>
Using a single, standardized platform can streamline and expand data ingestion across several log sources. Windows, Linux, and Mac OS X are just a few of the major operating systems that our solution is compatible with. Additional methods for agentless log collection are available for use with network device logs. Plus, with NXLog, Securonix can gather data from IT\/OT sources such as large ICS\/SCADA systems.<\/p>
With Securonix’s host-level event log parsing, the burden of distributing and managing log collection processes is lifted. With our solution, a single service may read logs from numerous sources and send them to various destinations.<\/p>
Rest certain that your firm satisfies all compliance and standards needs with the help of the Securonix solution, which receives the necessary log messages. Integrity monitoring for files is one of the controls that are part of our system.<\/p>
Use a unified tool to gather logs from various devices while ensuring their integrity is maintained during transmission. Reduced risk is achieved by our solution’s use of batching, protocol-level acknowledgment, and reliable compression during transmission.<\/p>
Turning massive amounts of data into useful security insights is the job of the Securonix next-generation SIEM platform. An end-to-end Securonix SIEM platform that can be deployed in its entirety or in flexible, modular components, SNYPR is built on a Hadoop big data security lake and combines an open data model, log management, SIEM, UEBA, fraud detection, and compliance management and reporting. It is also possible to deploy the platform in its entirety or in parts.<\/p>
The SOC security analyst is given control of their security management program using Securonix Next-Gen SIEM, a platform that includes security gathering, threat detection, forensic analysis\/threat hunting, and incident response capabilities. With Securonix Siem, clients can begin safeguarding vital information assets and resources with the help of predictive analytics management techniques, find both internal and external attacks before they happen, and turn access management programs into quantifiable, high-value business initiatives.<\/p>
Built specifically for advanced security analytics, the Securonix Siem platform converts raw customer data into actionable intelligence about the most pressing internal and external threats by mining, enriching, analyzing, scoring, and visualizing it.<\/p>
Hadoop-based SNYPR employs threat models and anomaly detection techniques based on Securonix machine learning to identify complex cyber and insider assaults. <\/p>
At the time of import and in batches, Securonix SNYPR’s built-in connection framework super-enriches data with context, allowing it to absorb massive amounts of data from a variety of sources. <\/p>
Included in the package is Securonix Spotter\u00ae, a Solr-based, lightning-fast natural language search engine that gives analysts the power to study threats over extended periods and facilitates threat hunting across diverse data sources.\u00a0<\/p>