AI Automation for Cybersecurity Training in Sri Lanka

AI Automation for Cybersecurity Training covers AI fundamentals for security professionals, AI-assisted threat detection, security data analysis, automated workflows, incident investigation, and practical implementation approaches.

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AI Automation for Cybersecurity Training is a professional training program delivered by ProgNXT, a globally recognized corporate training provider. ProgNXT's AI Automation for Cybersecurity Training course in Sri Lanka equips professionals with industry-relevant skills through hands-on, instructor-led sessions. This instructor-led training introduces participants to the use of Artificial Intelligence for cybersecurity automation, threat analysis, security...

Expert Panel

AI Fundamentals for Cybersecurity

AI & Cybersecurity Fundamentals

• Introduction to AI and its role in cybersecurity
• Machine learning and generative AI concepts
• AI applications across security operations
• Opportunities and limitations of AI in cybersecurity

AI-Assisted Threat Detection & Analysis

• Identifying suspicious activities using AI
• Threat classification and security event analysis
• AI-assisted anomaly detection concepts
• Analyzing indicators of compromise and threat information

Security Data & Log Analysis

• Working with security logs and structured data
• AI-assisted log analysis
• Identifying patterns and unusual activities
• Summarizing and correlating security events

Prompting for Cybersecurity Tasks

• Prompt engineering fundamentals for security professionals
• Creating effective prompts for threat analysis
• Security investigation and summarization prompts
• Validating AI-generated security outputs

• Hands-on exercises

Cybersecurity Automation & Threat Intelligence

Security Workflow Automation

• Fundamentals of cybersecurity automation
• Identifying repetitive security tasks for automation
• Designing AI-assisted security workflows
• Automating security analysis and reporting tasks

AI for Threat Intelligence

• Collecting and analyzing threat intelligence
• Processing indicators and threat information
• AI-assisted threat intelligence summarization
• Connecting threat intelligence with security investigations

AI-Assisted Security Operations

• Alert analysis and prioritization
• Security incident triage
• Identifying potential false positives
• Generating investigation summaries and recommendations

Automation with Scripts & APIs

• Introduction to scripting for security automation
• Working with security-related APIs
• Processing security data programmatically
• Building basic automated security workflows

• Hands-on exercises

AI-Assisted Incident Response & Security Workflows

AI for Incident Investigation

• Incident investigation workflow
• Analyzing alerts, logs, and indicators
• Building incident timelines with AI assistance
• Identifying potential attack patterns

AI-Assisted Incident Response

• Automating initial incident triage
• Response recommendations and investigation support
• Generating incident reports
• Human validation and analyst oversight

Security Automation Workflows

• Designing end-to-end AI-assisted security workflows
• Combining threat intelligence, analysis, and response activities
• Workflow testing and validation
• Handling errors and unreliable AI outputs

AI Security, Governance & Best Practices

• Data privacy and sensitive security information
• Risks of using AI in security operations
• AI output validation and human-in-the-loop controls
• Governance, access control, and responsible AI practices

• Hands-on exercises

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: YHS96
21Hrs
Course Rating 4.7/5
Last Updated: September 2026

This instructor-led training introduces participants to the use of Artificial Intelligence for cybersecurity automation, threat analysis, security operations, and incident response. The program covers AI fundamentals for security professionals, AI-assisted threat detection, security data analysis, automated workflows, incident investigation, and practical implementation approaches. Participants will work through guided hands-on activities using suitable open-source and freely available tools and features.

Welcome to the official AI Automation for Cybersecurity Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in Sri Lanka. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic understanding of cybersecurity concepts
• Familiarity with common security threats and attack techniques
• Basic understanding of security monitoring and incident response is helpful
• Basic scripting or programming knowledge is beneficial but not mandatory

• Understand AI and machine learning concepts relevant to cybersecurity
• Apply AI techniques to security monitoring and threat analysis
• Use AI to analyze security logs, alerts, and threat intelligence
• Develop basic cybersecurity automation workflows
• Use AI-assisted approaches for incident investigation and response
• Identify opportunities and limitations of AI in security operations
• Design practical AI-assisted security workflows

Participants will develop a practical understanding of how AI can support cybersecurity operations and automation. They will be able to apply AI-assisted techniques for security data analysis, threat intelligence, alert triage, incident investigation, and repetitive security workflows while understanding the importance of validation, governance, and human oversight.

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