Employees or other users within an organisation may become compromised if an adversary gains access to their credentials. Bad actors can masquerade as legitimate employees going about their normal business, making them hard to detect. Their under-the-radar activities often take weeks or months to be discovered, resulting in more severe data breaches or remediation costs.
Compromised Credentials
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In 2019, stolen credentials were used in 80% of reported data breaches. Without the ability to discern adversary activity from normal employee behavior, organisations continue to struggle to detect these attacks. Equally bad, investigating credential-based attacks is a complex, error-prone, and time-consuming process. Expert analysts must run dozens of search queries to trace the activities of attackers in order to understand the footprint and magnitude of the breach.
Exabeam helps security teams outsmart the complexities of compromised credentials by applying machine learning and user behavior analysis to baseline normal behavior for every user, device and peer group. Exabeam then automatically detects the anomalous behaviors that are indicative of a compromised account, regardless of the attackers’ techniques.
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