Operational Cybersecurity with AI: From Vision to Threat Hunting (Video Course)

Description

Unlock the potential of AI and automation in modern cybersecurity by learning how to design, operate, and optimize enterprise cyber operations that adapt to evolving threats.

Overview

Take your cyber operations expertise to the next level with Operational Cybersecurity with AI: From Vision to Threat Hunting. This course is designed to help cybersecurity professionals modernize enterprise defense by integrating AI, automation, and data-driven practices into security operations.

Youll start by exploring foundational concepts in cyber strategy and governance, then build a clear understanding of AI fundamentals and their role in cybersecurity. As the course progresses, youll examine the evolving AI threat landscape and learn how to measure the effectiveness of security operations through meaningful metrics and dashboards. The course emphasizes practical application, guiding you through cyber threat intelligence (CTI), threat hunting, and detection engineering enhanced by AI-driven automation.

Through real-world case studies and hands-on guidance, youll develop the skills needed to design scalable cyber operations and improve operational visibility. The course concludes with forward-looking topics such as predictive threat modeling and human-machine collaboration in security operations centers (SOCs), preparing you to adapt to the future of cyber defense.

Skill Level

Intermediate

Learn How To

• Develop enterprise cyber operations strategies and governance frameworks
• Differentiate AI, machine learning, and automation in cybersecurity
• Analyze the AI attack surface and identify AI-driven threats
• Build dashboards for operational, tactical, and strategic insights
• Create and manage cyber threat intelligence (CTI) programs
• Apply AI to threat hunting and detection engineering workflows
• Measure cybersecurity effectiveness using relevant metrics
• Explore predictive modeling and future SOC capabilities

Course Requirement

Basic cybersecurity knowledge is recommended. Familiarity with security operations concepts is helpful.

Who Should Take This Course

This course is designed for cybersecurity professionals, SOC analysts, IT practitioners, and security leaders who want to modernize cyber operations and incorporate AI and automation into their workflows.

The material is well suited for individuals responsible for threat detection, intelligence, and operational security who are looking to improve efficiency, scalability, and visibility within enterprise environments. It is also relevant for professionals interested in understanding how emerging AI capabilities are transforming cybersecurity practices and shaping the future of security operations centers.

About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by trusted technology brands including Addison-Wesley, Cisco Press, Pearson IT Certification, and Que.

Topics include cybersecurity, IT certification, networking, programming, cloud computing, and more. Learn more about Pearson Video Training at http://www.informit.com/video.

Sample Content

Table of Contents

Lesson 1: Vision, Mission, and Strategy of Modern Cyber Operations

1.1 Defining a Security Operations Center (SOC)

1.2 SOC landscape

1.3 SOC mission

1.4 SOC vision

1.5 SOC strategic pillars

1.6 Enablers for success

1.7 Call to action

1.8 Lab

Lesson 2: AI in Cybersecurity

2.1 The history of AI development

2.2 Governance, ethics, and responsible AI in cybersecurity

2.3 AI and the SOC

2.4 Threat actors and AI

2.5 AI and prompt engineering

2.6 Deepfakes

2.7 Deepfake detection

2.8 Lab

Lesson 3: AI Attack Surface and Threat Landscape

3.1 AI attack surface

3.2 Data poisoning

3.3 Model theft and inversion

3.4 Prompt injection and RAG attacks

3.5 AI agents and autonomous risks

3.6 Hugging Faace and the supply chain

3.7 Secure use of third-party AI

3.8 Comprehensive AI security

3.9 Lab

Lesson 4: Metrics and Measurements

4.1 An overview of metrics

4.2 Logging the right data

4.3 Tactical metrics

4.4 Operational metrics

4.5 Strategic metrics

4.6 Lab

Lesson 5: Cyber Threat Intelligence

5.1 Introduction to Cyber Threat Intelligence (CTI)

5.2 Building a CTI program

5.3 Tools and platforms for CTI

5.4 Operationalizing CTI

5.5 CTI challenges and best practices

5.6 Lab

Lesson 6: Threat Hunting and Detection Engineering

6.1 Building a threat hunting program

6.2 Evolution of cyber threats

6.3 Fundamentals of threat hunting: moving beyond reactive security

6.4 Detection engineering essentials

6.5 Metrics and KPIs

6.6 AI and automation in hunting and detection

6.7 Challenges and common pitfalls

6.8 Lab

Lesson 7: Future Trends and AI-Ready SOC

7.1 Future of SOCs and AI: whats next?

7.2 Tools for building a modern SOC

7.3 Action plan for an AI-ready SOC

7.4 Lab

Updates

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