With the abundance of information SIEM systems produce, big data security analytics can play an integral role in reducing data breaches. However, companies need a better way to detect valid versus invalid user behavior. IT security teams can make improvements by establishing a baseline of normal user behavior for all network access credentials. In tracking these users, businesses will know how and when they access IT assets. Once this has been determined, IT security teams will have a better method of detecting anomalies and determining how far they deviate from the norm. Of course, not every anomaly is cause for concern, which is why it’s important to quantify these by identifying patterns of suspicious behavior.
It’s not a matter of if a company suffers a data breach, but when. While malware tools change, the tactical use of them to steal user credentials hasn’t. Therefore, IT teams need to improve security intelligence to more quickly respond to attempted theft. Focusing on what happens after the point of compromise is where IT security teams can make significant progress in preventing breaches.
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