Cybersecurity Mastery for Business Resilience

Overview

This one-week boot camp equips participants with essential cybersecurity skills to protect business-critical data and ensure compliance while highlighting the impact of strong cybersecurity on productivity, automation, collaboration, marketing, CRM, and the secure use of AI tools. Designed for technical and non-technical professionals, the course covers foundational cybersecurity practices, compliance standards, and practical tools to safeguard customer data and streamline secure operations. 

Participants will gain insights into the basics of threat identification, learn to automate security responses, manage secure access for team collaboration, and implement data privacy protocols in marketing and CRM. The final day emphasizes the role of AI in cybersecurity, covering its powerful capabilities in predictive threat detection and the unique security risks it can introduce.

Guided by an expert trainer, participants receive hands-on instruction with real-world examples and personalized coaching to ensure you leave with practical skills you can apply immediately. 

Bootcamp Highlights 

• Duration: 35 Hours (10 hours in-person, 15 hours live-virtual, 10 hours asynchronous) to provide a comprehensive yet flexible learning experience tailored for busy professionals. 
  • Asynchronous Online Training  
    Learners can complete learning modules at their own pace and schedule. Our resources include videos, reading materials, quizzes, and pre-recorded webinars. 
  • Hybrid Training 
    A portion of the course is delivered asynchronously online, and a portion is provided by our in-person experts. 
  • In-Person On-Site Training 
    Logics Technology will deliver in-person training at your offices, allowing for direct interaction. 
• Balanced Learning Approach: Combines interactive in-person workshops for hands-on training with self-paced asynchronous modules to explore key concepts and strategies. 
• Comprehensive Focus: Covers critical cybersecurity fundamentals, automated security workflows, secure collaboration strategies, and AI-driven threat detection to ensure business resilience. 
• Hands-On Practice: Create and implement actionable tools, including: 
  • Risk assessments. 
  • Automated security workflows for real-time monitoring and incident response. 
  • Secure collaboration frameworks for team communication and file sharing. 
• Strategic Application: 
  • Learn to detect, prevent, and respond to cybersecurity threats. 
  • Implement automated workflows to enhance incident response time and security processes. 
  • Integrate secure AI-driven tools to support data protection, marketing, and collaboration. 
• Real-World Insights: Analyze case studies of successful cybersecurity implementations and learn from high-profile breaches to build resilience and proactive defence strategies. 
• Actionable Results: Leave with practical, ready-to-implement tools and strategies, including: 
  • Risk mitigation plans and automated incident response workflows. 
  • Secure project workflows for team collaboration. 
  • AI-enhanced tools for monitoring threats, securing data, and improving operational efficiency. 

Course Outline 

Day 1: Cyber Threats Uncovered & Automation for Incident Response (In-Person, 5 Hours) 

Morning Session (2.5 Hours): Cyber Threats and Risk Assessment 

• Learning Objectives: 
  • Understand key cybersecurity threats (phishing, malware, ransomware) and their impact on business operations. 
  • Learn techniques for assessing and prioritizing risks. 
• Activities: 
  • Case Study: Analyze phishing, malware, and ransomware incidents to identify vulnerabilities. 
  • Workshop: Conduct a hands-on threat assessment for a sample organization. 
• Output: Completed risk assessment worksheet tailored to the organization's needs. 

Afternoon Session (2.5 Hours): Automating Security for Incident Response 

• Learning Objectives: 
  • Understand how automation improves response times for cybersecurity incidents. 
  • Learn to build workflows for automated security alerts and reporting. 
• Activities: 
  • Demo: Configure automation tools for real-time monitoring and incident alerts. 
  • Workshop: Build and test an automated incident response workflow. 
• Output: Fully functional automated security response workflow. 

Day 2: Secure Collaboration & AI-Driven Cybersecurity (In-Person, 5 Hours) 

Morning Session (2.5 Hours): Mastering Secure Access Control 

• Learning Objectives: 
  • Learn to manage access to sensitive business data and communication channels. 
  • Develop secure workflows for team collaboration. 
• Activities: 
  • Case Study: Explore the risks and consequences of improper access controls in collaborative tools. 
  • Hands-On Workshop: Configure access permissions, file-sharing settings, and secure meeting platforms. 
• Output: Secure access control configuration for team collaboration tools. 

Afternoon Session (2.5 Hours): AI-Driven Threat Detection and Risk Mitigation 

• Learning Objectives: 
  • Understand how AI tools enhance predictive threat detection and risk management. 
  • Implement AI-powered strategies for proactive cybersecurity defence. 
• Activities: 
  • Demo: Set up AI-driven tools for anomaly detection and predictive alerts. 
  • Workshop: Develop a cybersecurity strategy integrating AI-driven monitoring and mitigation. 
• Output: AI-powered threat detection strategy and proactive risk mitigation plan. 

Live-Virtual Training (15 Hours) 

Session 1 (3 Hours): Cybersecurity Fundamentals and Compliance 

• Focus: Establish a strong foundation in cybersecurity concepts and compliance standards. 
• Activities: 
  • Interactive Discussion: Key threats (phishing, ransomware, malware) and their business impacts. 
  • Exercise: Create a cybersecurity readiness checklist aligned with GDPR and PIPEDA. 
• Output: Personalized cybersecurity readiness checklist. 

Session 2 (3 Hours): Automation Tools for Cybersecurity 

• Focus: Learn to streamline incident monitoring, detection, and response using automation tools. 
• Activities: 
  • Demo: Explore automation tools for security workflows. 
  • Workshop: Design and test an automated security monitoring workflow. 
• Output: Tested automation workflow for security incident response. 

Session 3 (3 Hours): Cyber-Driven Privacy – Protecting Data in Marketing & CRM 

• Focus: Understand the role of secure data practices in marketing and CRM to ensure compliance and build customer trust. 
• Activities: 
  • Demo: Configure privacy settings and compliance alerts in CRM tools. 
  • Case Study: Analyze the reputational damage caused by data breaches and explore prevention strategies. 
• Workshop: Develop secure workflows for managing customer data at key touchpoints. 
• Output: A secure and compliant customer data management plan is needed. 

Session 4 (3 Hours): AI and Automation Integration 

• Focus: Bridge automation processes and AI tools to enhance cybersecurity strategies. 
• Activities: 
  • Discussion: Role of AI in predictive threat detection and anomaly recognition. 
  • Workshop: Design an AI-driven automated workflow for security monitoring. 
• Output: AI and automation integration plan for threat detection. 

Session 5 (3 Hours): Secure Collaboration and Ethical AI Governance 

• Focus: Safeguard collaboration tools and develop governance frameworks for ethical AI adoption. 
• Activities: 
  • Demo: Configure secure file-sharing platforms and communication tools. 
  • Discussion: Address risks of AI misuse (e.g., bias, adversarial attacks). 
• Workshop: Draft a governance framework for ethical AI use in business processes. 
• Output: Ethical AI policy document and secure collaboration workflow. 

Asynchronous Modules (10 Hours) 

Module 1 (2 Hours): Introduction to Cyber Threats 

• Focus: Identify common cyber threats and their impact on businesses. 
• Activities: 
  • Watch video tutorials on phishing, malware, and ransomware. 
  • Quiz: Identify vulnerabilities in a sample business scenario. 
• Output: Cyber threat identification checklist. 

Module 2 (2 Hours): Fundamentals of Data Privacy 

• Focus: Understand data privacy laws like GDPR and PIPEDA and their role in business operations. 
• Activities: 
  • Watch tutorials on privacy regulations. 
  • Case Study: Analyze a data breach scenario and prevention strategies. 
• Output: Privacy risk assessment report. 

Module 3 (2 Hours): Practical Automation for Security 

• Focus: Apply automation techniques to improve cybersecurity workflows. 
• Activities: 
  • Design and test automated workflows for security monitoring and alerts. 
• Output: Tested and functional automated workflow. 

Module 4 (2 Hours): AI Fundamentals for Cybersecurity 

• Focus: Learn how AI tools enhance threat detection, predictive analysis, and risk management. 
• Activities: 
  • Watch tutorials on AI-powered threat detection and anomaly recognition. 
  • Case Study: Examine AI's role in improving security posture. 
• Output: AI-driven threat insights report. 

Module 5 (2 Hours): Cybersecurity and AI Case Studies 

• Focus: Analyze real-world cybersecurity and AI implementations to extract best practices. 
• Activities: 
  • Review successful and failed examples of AI and cybersecurity solutions. 
• Output: Lessons learned report with actionable recommendations. 

By the End of This Bootcamp, Participants Will: 

1. Understand cybersecurity threats and assess risks to business operations. 
2. Implement automation tools for monitoring and incident response. 
3. Develop secure collaboration workflows and manage access controls. 
4. Apply data privacy regulations to ensure compliance and protect customer data. 
5. Use AI tools for advanced threat detection and proactive risk management. 
6. Create governance frameworks for ethical and responsible AI adoption. 

Delivery Methods