Have you secured your SAP network from internal risks?

⇨ 41% of larger organizations using SAP systems are primarily focused on protecting their data, highlighting the importance of internal security measures.

⇨ User Behavior Analytics, developed by Splunk, leverages machine learning to identify anomalous user behaviors, enabling organizations to detect and respond to potential internal threats more effectively.

⇨ By visualizing threats throughout different stages of an attack, organizations can gain insights into the root cause and timeline of events, allowing for a quicker assessment of business impact and necessary security measures.

When it comes to securing SAP systems, many organizations will take great efforts in securing their networks from any external threats. However, what measures are in place to combat threats that come from inside the business?

A recent Cybersecurity Threats and Challenges for SAP systems report revealed 41 percent of larger organizations supported by SAP systems are most concerned about the need to protect their data. With that statistic in mind, it’s more important than ever to protect crucial data stores from internal threats – threats that could have the knowledge of exactly where to find said crucial data.

An effective method in protecting from internal risks is by identifying any behaviour that’s out of the norm. Enterprise security expert Splunk developed User Behavior Analytics to help crack down on any nefarious actors or user errors that could disrupt SAP-enhanced business operations. Through the use of machine learning algorithms, baseline behaviors of users, devices and apps can be established. Once the baselines have been identified, it’s easier to spot anyone or any device deviating from the norm.

Once an anomaly has been detected, User Behavior Analytics can provide visualization of threats over a kill chain to gain context to the attack. Any anomolous behaviour is collected from users, accounts, devices and apps so it’s easier for users to spot any attack patterns. If a pattern has been identified, it gives organizations an opportunity to anticipate the next attack and regain control of a situation.

By assessing and visualizing threats across different stages of an attack, User Behavior Analytics can provide a comprehensive breakdown of the attack root cause, the scope and severity of an attack and the timeline of events. By providing a plethora of context, analysts can quickly assess the business impact and what measures need to be taken to re-secure a SAP network.

Splunk’s internal security tool can reduce billions of user, app and device events into a curated list of threats for security analysts to review and act upon. What normally takes human security experts hours, a machine learning algorithm can do quicker: scanning through all the data on hand to help identify any potential internal threats or risks that could disrupt your SAP network.

While SAP systems are indeed protected, some in part due to built-in cloud security, it’s never a downside to integrate more security measures. By auditing the behaviour of users and their actions across all work devices, organizations can take an active step towards internally securing their SAP networks.