A large university has a very diverse population. Students, professors, and others store valuable data such as research, test plans, results, and procedures. This sensitive information is often shared across with other students or professors. Universities recommend that this data should not be saved locally, but few have the capability to ensure this happens. Therefore, these universities rely on log analysis to identify non-compliance along with threats. Not only is log analysis time consuming, but it also triggers many false positives and is full of noise which requires a security analyst to interpret the data. Unfortunately, log analysis isn’t even enough to prevent or detect a threat. Seceon’s solution detects, predicts and presents a simplified view of internal and cyber threats with the ability to remediate in real-time. The Seceon platform is able to understand an organizations normal activities and expose abnormal events. Seceon further defines and scores each risks allow security analysts to focus on the most severe threats first. An analyst is also able to decide to automate the threat remediation or view the recommended remediation for it.
Seceon is able to collect data directly or from your SIEM platform using a number of connectors we have built specially. With our numerous amounts of APIs, you are able to seamlessly implement our software to your devices. The collected data is aggregated in Seceon’s Big Data platform and then analyzed by oir behavioral analytics architecture. The Seceon Holistic Behavioral Detection Engine adapts and learns how your organization operates. It is then able to detect any abnormal actions to report. Connecting events, flows, and packets of a user's machine will all play a role in whether an alert shall be sent to a security manager.
Seceon has the ability to cover more use cases than any other security vendor in the educational vertical including: students and professors taking IP with them, IT personal using their heightened privileges to access and expose data, the need to monitor data access and usage by students and the detection of rogue systems infected by malware.