In advanced SIEM, ____________ helps in predicting potential security threats based on historical data.
- Encryption Technologies
- Machine Learning Algorithms
- Multi-Factor Authentication
- Virtual Private Networks (VPNs)
Advanced SIEM systems utilize machine learning algorithms to analyze historical data and identify patterns that may indicate potential security threats. This predictive capability enhances the proactive nature of security operations, allowing organizations to anticipate and mitigate threats before they escalate. Familiarity with the role of machine learning in SIEM is essential for security professionals dealing with advanced threat detection.__________________________________________________
Loading...
Related Quiz
- Why might an organization choose to implement a split-tunneling VPN configuration?
- In a high-security environment, implementing ____________ in addition to WPA3 would enhance the security of the wireless network.
- The HIPAA Security Rule focuses specifically on the security of _______.
- A company's network administrator notices that an external IP address is repeatedly trying to access the company's internal resources. However, the firewall denies each attempt, and the source IP changes frequently. What type of attack might this represent?
- The practice of deliberately leaving vulnerabilities open in a system as a trap to detect and monitor intruders is termed as what?