Threat hunting techniques.

Format:

Video

Contributor:

Starweaver, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Computer security.

Risk management.

Machine learning.

Physical Description:

1 online resource (1 video file (4 hr., 26 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 4-hour course, combine threat hunting with data science to uncover hidden anomalies and suspicious behavior. Use Splunk, Jupyter, visualization, MITRE ATT&CK, and machine learning to build repeatable detection workflows. What I will be able to do after this course Explore the threat hunting lifecycle Analyze logs with Pandas and visuals Develop hypothesis-driven hunt plans Apply ML-based anomaly detection Execute hunts in Splunk and Jupyter Course Instructor Starweaver collaborates with a global network of expert educators to deliver engaging, practical learning experiences. Focused on empowering individuals and organizations, they equip learners with skills to navigate challenges in technology, business, and design. Who is it for? This course is for SOC analysts, threat hunters, blue team engineers, cybersecurity students, and defenders who want to move from reactive alert triage to proactive investigation.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808340697

OCLC:

1601478966