Search Results "Data exfiltration"
One of the top use cases for User and Entity Behavior Analytics (UEBA) is detecting and stopping data exfiltration in real-time.
The volume of security data UEBA solutions must contend with is mind blowing. Learn the V’s of Big Data and how it’s leveraged by UEBA.
Threat-conscious enterprises are demanding visibility into user and otherwise unknown malicious activities that is unavailable from legacy security monitoring systems and can only be achieved using advanced behavior analytics and UEBA
The report cites the advantages of user behavior analytics (UBA) for detecting a range of threats including the use of compromised credentials, insider abuse, data exfiltration, access misuse and zero day attacks — which evade traditional perimeter security tools.
Discover the top 10 reasons why integrating UEBA with SIEM is crucial for modern cybersecurity. Learn from industry experts at Gurucul, the UEBA and Next-Gen SIEM pioneers
Explore how SIEM Machine Learning can lead to cost savings and risk reduction in your organization. Learn from industry experts at Gurucul.
Explore key indicators of insider threats and gain insights on prediction, detection, and response strategies.
Discover the role of predictive analytics in detecting insider threats. Learn how advanced metrics transform cybersecurity and mitigate risks.
Integrity isn’t enough to protect your organization from a catastrophic insider attack. Here are 5 indicators your company is at risk for an insider attack.
Though UEBA & SIEM each cover different cybersecurity areas, these solutions can complement each other quite well for the elimination of cyber threats.
Insider threats are the biggest cyber security issue for companies and big organizations because they can cause the most damage.
Network traffic analysis (NTA) monitors traffic flowing over the network and can tip off an organization of a potential cyberattack on the network infrastructure.
Learn what user behavior analytics is, and how to use the behavioral data to improve your organization’s security posture and detect potential threats.
Security analytics is a proactive approach to cybersecurity that correlates and analyzes data to detect anomalies and unusual user and entity behavior that may indicate cyber threats.
UEBA analyzes the behavior of users and machine entities using ML algorithms and other analytics to build a baseline of what is normal activity and behavior.