Certified Artificial Intelligence (AI) For Cyber Security Professionals Training in Manilla

Certified Artificial Intelligence (AI) for Cyber Security Professionals Training Course Outline

Module 1: AI Foundations for Security Practitioners

• AI and ML Concepts for Cybersecurity
• Generative AI and LLMs in a Security Context
• How AI Models Are Trained and Where They Fail
• AI Capability Map: Detection, Response, and Prediction
• Activity:Map AI Capabilities to Your SOC Use Cases

Module 2: AI-Powered Threat Detection

• ML-Driven Anomaly Detection and Behavioural Analytics
• AI-Powered SIEM: Platforms, Pipelines, and Tuning
• AI-Powered XDR: Cross-Domain Correlation at Scale
• Reducing Alert Fatigue with AI Prioritisation
• Lab: Investigate AI-Generated Alerts in a SIEM Environment

Module 3: AI-Driven Threat Hunting

• Threat Hunting with AI: From Hypothesis to Hunt
• AI-Assisted IOC and TTP Discovery
• Using LLMs to Accelerate Hunt Query Development
• Lab: Conduct an AI-Assisted Threat Hunt Using KQL and Copilot

Module 4: AI in Incident Response and Investigation

• Automated Incident Triage and Investigation Workflows
• Security Copilots: Capabilities, Platforms, and Peer Comparison
• AI-Generated Summaries, Recommended Actions, and Evidence Graphs
• Integrating AI into SOAR Playbooks
• Lab: Run an Automated Incident Investigation with a Security Copilot

Module 5: Adversarial AI and AI-Specific Threats

• Adversarial Attacks: Evasion, Poisoning, and Extraction
• Prompt Injection: Mechanics, Attack Vectors, and Defences
• Model Poisoning and Training Data Manipulation
• AI Supply Chain Security and Third-Party Model Risk
• Lab: Simulate a Prompt Injection Attack and Implement Controls

Module 6: Secure AI Deployment and Architecture

• AI Security Architecture Principles and Design Patterns
• Zero Trust with AI: Enforcing Least Privilege for Models
• Secure API, Pipeline, and Inference Hardening
• AI-Enabled Vulnerability Management and Patch Prioritisation
• Cloud AI Security: Risks, Controls, and Provider Responsibilities
• Threat Modelling AI Systems and Attack Surface Mapping
• Lab: Review and Harden an AI Deployment Configuration

Module 7: AI Governance, Risk, and Compliance

• AI Governance Frameworks and Responsible AI Principles
• Regulatory Landscape: EU AI Act, GDPR, and NIST AI RMF
• AI Risk Assessment, Monitoring, and Escalation
• Workshop: Build an AI Risk Register for a Security Use Case

Module 8: Operationalising AI in the Enterprise SOC

• Selecting and Evaluating AI Tools and Platforms
• Integrating AI into an Existing Cybersecurity Programme
• Measuring AI Effectiveness: KPIs and Continuous Improvement
• Building the AI-Ready SOC: People, Process, and Technology
• Workshop: Draft an AI Integration Roadmap for Your Environment

Who Should Attend Certified Artificial Intelligence (AI) for Cyber Security Professionals Training?

This course is designed for cybersecurity professionals who seek to enhance their expertise with AI-driven solutions. The following professionals will benefit from this course:

• Cybersecurity Analysts
• Security Operations Center (SOC) Analysts
• Incident Response Team Members
• Network Security Engineers
• Malware Analysts
• Threat Intelligence Analysts
• Cybersecurity Managers and Leaders

Prerequisites for Certified Artificial Intelligence (AI) for Cyber Security Professionals Training

There are no formal prerequisites for attending this AI for Cyber Security Professionals Training course. However, having a prior understanding of cybersecurity principles, familiarity with cybersecurity tools and techniques, would be beneficial for the delegates.

Certified Artificial Intelligence (AI) for Cyber Security Professionals Course Overview

Certified Artificial Intelligence (AI) for Cyber Security Professionals Training introduces delegates to the application of AI in cyber security. It covers AI-driven threat detection, response strategies, and behavioural analytics to enhance organisational protection.

This training develops delegates ability to implement AI tools effectively and strengthen cyber defence capabilities. It enhances skills in proactive threat monitoring, incident response, and reducing digital vulnerabilities.

This 1-Day course offered by The Knowledge Academy equips delegates to apply AI-driven security techniques confidently in real-world scenarios. It bridges traditional cyber security methods with modern AI solutions to bolster enterprise-level defence.

Certified Artificial Intelligence (AI) for Cyber Security Professionals Course Objectives

• To understand the fundamentals of Artificial Intelligence and its role in Cyber Security 
• To apply Machine Learning techniques for threat detection and behavioural analysis 
• To leverage AI for incident response, threat hunting, and forensic investigations 
• To utilise AI for cyber threat intelligence and predictive threat analysis 
• To implement AI-driven solutions for malware detection and network security
• To understand the ethical, legal, and operational considerations of AI in Cyber Security

Upon completion of this Certified Artificial Intelligence (AI) for Cyber Security Professionals Training Course, delegates will be able to apply AI-driven solutions for threat detection, incident response, malware analysis, and network security. They will also be able to use AI for real-time threat intelligence, predictive analysis, and responsible cyber security operations.

What’s Included in this Certified Artificial Intelligence (AI) for Cyber Security Professionals Training Course?

• World-Class Training Sessions from Experienced Instructors
• Certified Artificial Intelligence (AI) for Cyber Security Professionals Certificate
• Digital Delegate Pack