Use Case 6: SIEM Security with Artificial Intelligence
SIEM security that is equipped with Artificial Intelligence (AI) and user behavior analytics can deal with internal threats. AI capabilities in SIEM help security professionals to automate tasks that are otherwise manual and repetitive. Doing so can also help to swiftly detect threats and suspicious activities in network traffic and event logs.
Due to the revolution of the internet, cyber-attacks on unsecured networks are increasing tremendously and organizations are on the verge of data breaches. Securing proprietary information, Personally Identifiable Information (PII), or any other sensitive data have become a daunting task. Preventing business disruption, information theft, and reputational loss is necessary to thrive and survive in the competitive industry.
Due to the sheer scale of challenges cybersecurity threats pose today, an enterprise-level security solution is always necessary for organizations. Is your company facing too many false positives? Are you spending too much time and budget on your corporate cybersecurity posture? Are you worried about vulnerable protocols and misconfigurations? Don’t worry! Security Information and Event Management (SIEM) solution is a centralized security platform that gives security practitioners the fighting chance they deserve to get rid of targeted attacks and data breaches. According to Gartner’s report, “the demand for early detection of data breaches and targeted attacks are driving an expansion of existing and new SIEM deployments.”