How to detect malicious incidents that can lead to data breaches?

Traditional security alert and incident investigation tools are not designed for the SaaS- Mobile environment. Furthermore, alerts typically consist of obscure data in raw log files that resist full understanding, even for experienced security analysts. An incident investigation itself demands scripting, manual correlation of various log files, interpreting meaning, manually removing secondary data sources for clues, and spending considerable time trying to determine the root cause of an alert incident. To glean deeper insights, incident correlation needs to be backed by advanced machine learning.

CipherCloud’s Insights Investigate functionality provides:

A rich set of tools for incident management enabling administrators to view, correlate, and investigate incidents that involve policy violations, assign a level of severity to an incident, and specify the appropriate action. In addition, administrators can view information about incidents and their sources from several perspectives, and obtain additional details about each incident or source.

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Assess Threats and Manage Incidents in the Cloud

How do you correlate similar incidents to connect the dots between "unrelated" activities?

Backed by advanced machine learning, information from user beahviorial analytics is fed into Insights Investigate. The analytics engine is used to monitor several vectors, including user accounts; servers; network devices, non-trusted communication sources, insecure protocols, and other signs of malicious behavior; and to detect protection disablement or removal, or status of threat updates:

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Detect and Track Threats Through UEBA and Insights Investigate

How do you ensure incident governance?

Incident Management lists all the policy violated incidents occurring in the organization, and the administrator can filter the list based on time period (day, date, hour), cloud (managed or unmanaged), severity (low, medium, high) or status (open, under investigation, resolved).

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