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An increasing number of attacks, both external cyber-attacks and internal attacks, are well-thought-out and long-running. Particularly external, targeted attacks rely on the use of zero-day-exploits, which factually are yet unknown exploits. Thus, standard approaches such as signature-based analysis don’t help – you can’t detect what you don’t know. On the other hand, malicious behavior of internal users is hard to detect. Commonly, existing entitlements are used, but not as they should be used. Both challenges can be addressed by analyzing the user behavior and identifying anomalies and outliers. There are various technologies for doing so, focusing on network traffic, privileged user behavior, or access to unstructured data. All of these deliver to the one target: Mitigating risk of attacks.
An increasing number of attacks, both external cyber-attacks and internal attacks, are well-thought-out and long-running. Particularly external, targeted attacks rely on the use of zero-day-exploits, which factually are yet unknown exploits. Thus, standard approaches such as signature-based analysis don’t help – you can’t detect what you don’t know. On the other hand, malicious behavior of internal users is hard to detect. Commonly, existing entitlements are used, but not as they should be used. Both challenges can be addressed by analyzing the user behavior and identifying anomalies and outliers. There are various technologies for doing so, focusing on network traffic, privileged user behavior, or access to unstructured data. All of these deliver to the one target: Mitigating risk of attacks.
