LTS Secure UEBA for cloud apps
UEBA (User & Entity Behavior Analytics) is the most promising solution to fight against cyber threats and fraud as it allows us to get ahead of the attackers by detecting risks and restrict them.
UEBA successfully detects malicious and abusive activity that otherwise goes unnoticed, and effectively consolidates and prioritizes security alerts sent from other systems. Organizations need to develop or acquire statistical analysis and machine learning capabilities to incorporate into their security monitoring platforms or services. Rule-based detection technology alone is unable to keep pace with the increasingly complex demands of threat and breach detection.
PAE uses UEBA to provide insights on cyber security and analytics. Our solution analyses volumes of data to establish a baseline of normal user and system behavior, and flag suspicious behavior anomalies. The result is a sophisticated artificial intelligence platform that detects insider and cyber threats in real time.
Advantages of UEBA
- Provides behaviour based analytics for detecting insider and targeted cyber attacks.
- User centric monitoring across hosts, network and applications
- Privileged account monitoring and misuse detection
- Provides huge reduction in security events warranting investigations
Use Cases :
a. Top suspicious email IP’s
Knowledge of the top IP’s from where the suspicious emails are routed is crucial to the organization. This report will provide list of IP address from where suspicious email have come. These IP’s can be blocked so no further users will be subject to these mails.
b. Top Suspicious Users
This would show the top suspicious user accounts from where suspicious mail activities is happening. Organization can have better watch on such mail accounts and can be blocked, so no such activities will happen in future from those accounts. The report can show all such events and will give detailed insight on such events and we can alter the rules to enhance the security.
c. Activities bifurcation by role:
All the activities can be divided by the role of the user doing it. This will give much needed insight to the security analyzer for the activities performed by the user and they can see what all activities are done by Privileged users, contracted users and non privileged users. Will be able to find out occurrences where users are not authorized for any activity and if they are doing so, can be traces here and system can be enhance to restrict such occurrence in future.
The system provides trend of events happening over a period of time which would help the system analyst to understand the behavior of such events and can predict the trends of such occurrence. This would prove very helpful in finding or investigating critical system issues.