Cambridge
Academy
In London

Introduction

As cyber threats grow in scale and sophistication, AI offers advanced defense mechanisms by detecting anomalies, identifying intrusions, and automating responses. This course prepares security professionals to leverage AI for proactive cybersecurity.

Objectives

- Understand how AI is applied in cybersecurity.

- Use AI for intrusion detection and malware analysis.

- Learn automated threat response systems.

- Explore ethical and privacy challenges of AI in cybersecurity.

Audience

- Cybersecurity professionals

- IT managers

- Security analysts

- Network administrators

5-Day Outline

Day 1: AI in Cybersecurity

- Overview of AI in modern cyber defense

- AI vs. traditional cybersecurity methods

- Tools: Darktrace, Cylance, Vectra AI

- Case study: AI in detecting large-scale attacks

- Discussion: Benefits and risks of AI in cyber defense

Day 2: Threat Detection with AI

- Machine learning models for anomaly detection

- AI in malware detection and classification

- Intrusion detection systems powered by AI

- Real-world demo: AI cybersecurity tool

- Workshop: Simulate AI-powered threat detection

Day 3: Automating Incident Response

- AI in Security Operations Centers (SOC)

- Automated alert prioritization and triage

- AI-driven remediation tools

- Case study: AI reducing incident response time

- Group exercise: Build AI-based incident response plan

Day 4: Predictive Cybersecurity

- Using AI for threat intelligence and forecasting

- Predicting attack patterns with machine learning

- AI in proactive defense strategies

- Tools for predictive threat modeling

- Simulation: AI-driven threat prediction exercise

Day 5: Future of AI in Cybersecurity

- Emerging AI security innovations

- AI & ethical hacking

- Risks of adversarial AI in cyber attacks

- Group project: AI-enhanced cybersecurity strategy

- Wrap-up & certification