Certbie
Question 1 of 30
In a rapidly evolving cybersecurity landscape, an organization is considering the implementation of next-generation Intrusion Prevention Systems (IPS) that utilize machine learning algorithms. The security team is tasked with evaluating the potential benefits and challenges of integrating such technology. Which of the following statements best captures the implications of adopting machine learning in IPS technology?
Machine learning can enhance threat detection capabilities by identifying patterns in network traffic that may indicate anomalies, but it also requires continuous training and validation to avoid false positives and negatives.
Machine learning algorithms are inherently flawless and do not require any human oversight once implemented.
The integration of machine learning in IPS systems eliminates the need for traditional signature-based detection methods entirely.
Machine learning in IPS technology is only beneficial for large enterprises with extensive data sets and is not applicable to smaller organizations.

Preparing for CISCO 500-285 Securing Cisco Networks with Sourcefire IPS? Now land the interview.

73% of qualified candidates get rejected because of weak resumes. Build an ATS-optimized, recruiter-ready resume in under 5 minutes - free to start.

Build My Resume Free