•Complete threat landscape analysis (data poisoning, prompt injection, model theft) •Practical governance frameworks for AI systems •Step-by-step implementation guide (24-week roadmap) •Risk assessment methodologies specific to AI •Incident response playbooks for AI compromises •Real case studies with lessons learned •Actionable 30/90/365-day plans
🎯 Key Features:
•Practical Focus: Real-world solutions, not just theory •Comprehensive Coverage: Technical, operational, and business aspects •Implementation Ready: Detailed timelines, checklists, and templates •Future-Proof: Addresses emerging threats and technologies
The guide is structured to help organizations immediately begin securing their AI systems while building long-term resilience. It's written for both technical teams and business leaders who need to understand and address AI security risks.
AI Security Implementation Workbook - Abdelhalim Rekab
•Complete threat landscape analysis (data poisoning, prompt injection, model theft) •Practical governance frameworks for AI systems •Step-by-step implementation guide (24-week roadmap) •Risk assessment methodologies specific to AI •Incident response playbooks for AI compromises •Real case studies with lessons learned •Actionable 30/90/365-day plans
🎯 Key Features:
•Practical Focus: Real-world solutions, not just theory •Comprehensive Coverage: Technical, operational, and business aspects •Implementation Ready: Detailed timelines, checklists, and templates •Future-Proof: Addresses emerging threats and technologies
The guide is structured to help organizations immediately begin securing their AI systems while building long-term resilience. It's written for both technical teams and business leaders who need to understand and address AI security risks.