Core Principles of Using AI Agents in Cyber Defense

Strengthen SOC operations and cyber defence with AI agents

Cyber threats are evolving faster than ever, and security teams need tools to keep pace. AI agents are becoming powerful partners for security teams, helping strengthen detection and response across digital environments. You’ll gain an understanding how they operate is essential for responsible cyber security.

This course guides you through practical ways AI can support modern defense and make daily work more efficient and effective, while keeping human judgement central.

Discover how AI agents strengthen cyber security

AI in security isn’t about replacing teams, it’s about backing them with speed and precision. Agents can scan huge volumes of activity, flag risks sooner, and help teams stay focused on threats that matter.

You’ll explore how AI agents operate, the decisions they support, and the guardrails needed to deploy them responsibly in any security setting.

Investigate threats with AI support

Threats rarely present themselves clearly. They often hide in unusual login patterns, subtle behaviour shifts, or carefully crafted phishing attempts.

Utilising phishing analysis, malware review, and threat intelligence exercises, you’ll see how AI agents highlight risky activity and offer insights that sharpen human investigation skills.

Prepare SOC workflows with AI

Security foundations rely on people, process, and technology working in balance. This final section brings those elements together, creating your own sketch of a simple SOC integration model, defining review points and safety guardrails, and testing where automated support strengthens analyst-led decisions.

You’ll walk away with a clear, structured view of how to introduce AI responsibly and independently in professional practice.

This course is ideal for security analysts, SOC engineers, incident responders, and learners exploring cyber security careers as well as those seeking practical AI-driven threat detection skills.

This course is ideal for security analysts, SOC engineers, incident responders, and learners exploring cyber security careers as well as those seeking practical AI-driven threat detection skills.

• Apply LLMs to automate cybersecurity, using datasets to analyze, learn, and improve threat detection and response over time.
• Evaluate how AI agents detect threats, analyze malware, identify intrusions, and defend against social engineering via real-time analysis and threat intel.
• Design AI-driven cybersecurity workflows for incident response, threat hunting, and SOC optimization with human-AI collaboration and adaptive decisions.
• Identify and mitigate AI security flaws and ethical risks; propose governance for responsible, explainable, and secure use in cybersecurity operations.