In today’s complex digital landscape, security breaches and data exfiltration are major risks, with hackers and insiders often bypassing traditional defenses. User Behavior and Entity Analysis (UEBA) is the key to spotting abnormal activity and preventing security incidents before they escalate.
Why UEBA is Crucial for Mitigating Security Risks
By combining machine learning and data analytics, UEBA helps organizations:
✅ Detect malicious activity from compromised credentials or insider threats
✅ Enhance zero trust security by continuously authenticating users and entities
✅ Identify vulnerabilities in real time across network traffic, servers, and devices
✅ Reduce security risks by proactively addressing threats before they cause damage
How It Works
🔹 UEBA Machine Learning learns typical user and entity behaviors to detect suspicious deviations.
🔹 Behavioral Analysis continuously monitors network activity, login attempts, and file access.
🔹 Zero Trust Security ensures that no user or device is trusted by default, requiring constant re-authentication.
Real-World Impact: Detecting Threats Before They Escalate
When Sutherland Global Services implemented IBM’s QRadar SIEM, they automated over 200 alerts to detect security threats in real time. This approach led to faster detection, fewer false positives, and cost savings while enhancing their overall security posture.
Don’t Wait for a Breach—Act Now
UEBA provides real-time visibility and advanced analytics to ensure you’re one step ahead of potential threats.
📩 Ready to enhance your security? Let’s discuss how UEBA can safeguard your organization.
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