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The data from your ethics and compliance helpline should be benchmarked against comparable organizations to assess program health and make improvements such as implementing policies, training employees, and conducting investigations. Learn everything you need to know about benchmarking your helpline data in our toolkit.
Published By: Forcepoint
Published Date: May 14, 2019
Things are not as they used to be in the enterprise. Today’s employees are mobile, they’re storing and accessing data in cloud apps, and are in disparate networks. While the present-day digital world has changed, the objective of data protection has not: you must still ensure the security of your critical data and intellectual property. However, the threat-centric security approach, with its static policies forces decisions about cyber activity with no insight into the broader context. The result is a disproportionate number of flagged activities, overwhelming security teams who have no way to understand the ones most worthy of investigation. Read Rethinking Data Security with a Risk-Adaptive Approach to learn how a human-centric, risk-adaptive approach can help your organization be more proactive in order to:
• Automate policy enforcement to deter data loss events
• Reduce the number of security alerts
• Cut down on incident investigation time
Ask any cybersecurity professional and she’ll tell you that her job is getting increasingly difficult. Why? Most will point to a combination of the dangerous threat landscape, IT complexity, and their overwhelming workload. These issues are driving a major transition in enterprise security. Large organizations must move beyond a threat prevention mentality to
become proactive cyber-¬-attack “hunters” that constantly monitor their networks for signs of trouble. This shift to proactive hunting will require new technologies that collect, process, and analyze massive amounts of security data, offer intelligent security analytics for real-¬-time incident detection, integrate threat intelligence to align suspicious internal activities with
external threats, and provide analysts with the right data analytics features to query and manipulate data for historical investigations.