Which technique involves leveraging machine learning algorithms and AI to help identify anomalies and potential security threats?

The question asks to identify the technique defined by the use of machine learning (ML) and Artificial Intelligence (AI) for security purposes. Machine learning is the specific discipline where algorithms are trained on large datasets to recognize patterns, establish baselines of normal behavior, and subsequently identify anomalies and potential threats. This is a direct definition of the technique itself. Security platforms like Cisco Secure Network Analytics and Secure Endpoint use ML as a core component to detect novel and sophisticated threats that do not match known signatures, making it a fundamental technique in modern cybersecurity.

A. Signature-based detection: This method relies on a database of known malicious patterns (signatures) and does not involve learning or AI to identify new, unknown threats.
B. Behavioral analysis: While modern behavioral analysis heavily utilizes machine learning, the term itself is broader and can include simpler, non-AI, rule-based methods for detecting deviations from a norm.
D. Threat intelligence analysis: This is the process of analyzing curated information about threat actors and campaigns, not the direct application of algorithms to raw data to find anomalies.

1. Cisco Official Documentation: Cisco Secure Network Analytics (Stealthwatch) Data Sheet. (2022). Document ID: C25-734435-09. In the "How it works" section, it states, "It then uses this baseline, along with the latest machine learning and behavioral modeling, to identify and alert on anomalies." This directly identifies machine learning as the core technology leveraged.

2. Academic Publication: Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020). A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security. IEEE Communications Surveys & Tutorials, 22(3), 1646-1685. DOI: https://doi.org/10.1109/COMST.2020.2988290. The abstract and introduction (Section I) discuss how machine learning methods are a primary technique for developing effective cybersecurity solutions, including anomaly and intrusion detection.

3. Official Cisco Exam Blueprint: Cisco Learning Network. (2023). CBRTHD 300-220 Exam Topics v1.0. The official exam blueprint for the CISCO CBRTHD 300-220 exam lists as a key knowledge area: "2.3 Describe the application of machine learning and artificial intelligence in network security," treating machine learning as a distinct technique and topic within the curriculum.