About AiSecurityDIR

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πŸ‘€ Who I Am

After 25+ years in cybersecurityβ€”from hands-on implementation to leading enterprise security programs at organizations like Citi, Microsoft, and SanDiskβ€”I recognized AI Security as the next critical frontier.

For the past 1.5 years, I’ve been intensively researching AI security technologies, evaluating solutions for AI supply chain security, prompt injection protection, and deepfake detection. Throughout this journey, I encountered a persistent challenge: AI Security information is scattered, overly technical, and assumes readers have advanced ML programming expertise.

That’s why I created AiSecurityDIR.


🎯 The Mission

AiSecurityDIR serves as “The Manager’s Guide to AI Security”β€”a comprehensive, freely accessible knowledge base that makes AI security understandable for security managers, CISOs, compliance officers, and anyone navigating this rapidly evolving field.

The platform organizes AI security through a systematic 5-framework approach:

TreeFramework
🌳 Tree 1AI Security Domain Structure
🌳 Tree 2AI Risk Taxonomy
🌳 Tree 3AI Security Control Framework
🌳 Tree 4AI Security Lifecycle
🌳 Tree 5Regulatory & Compliance Framework

πŸ’‘ My Approach

I’m not claiming to be “the AI Security expert”β€”this field is too new for established authorities. Instead, I’m applying structured methodology from decades of security experience to systematically organize scattered knowledge into accessible learning paths.

This is a shared journey. I’m learning deeply while creating the resource I wish existed when I started exploring AI Security. Every framework, every article represents intensive research, careful validation against authoritative sources (OWASP, MITRE, NIST), and a commitment to making complex topics digestible.


✍️ Content Creation

Content is created with AI tools under expert direction and validation, grounded in 25+ years of cybersecurity experience and intensive AI security research.

I invest heavily in:

  • πŸ“‹ Planning article structure
  • πŸ—οΈ Developing frameworks
  • βœ… Ensuring technical accuracy
  • πŸ“– Making information accessible through clear language, practical examples, and real-world analogies

πŸ† Background Highlights

πŸ’Ό Current Role

VP, Cybersecurity Innovation at Citi (5+ years)

  • πŸ”¬ Technology assessment and research (15-20 evaluations)
  • πŸ€– AI Security focus: Supply Chain Security, Prompt Shielding, Deepfake Detection
  • πŸ“ˆ 30% implementation adoption rate

πŸ“œ Previous Experience

RoleOrganizationHighlights
🏒 Technical ManagerMicrosoft (7+ years)Top 1 Global CSAT, Office 365
πŸ”’ EMEA Security ManagerSanDisk (6+ years)M&A Integration Lead
πŸ›οΈ Security ArchitectDeloitteSenior Consultant
πŸŽ“ Microsoft Certified Trainerβ€”Trained hundreds of IT professionals

πŸ“œ Certifications

  • πŸŽ–οΈ IBM AI Product Manager
  • πŸŽ–οΈ Microsoft 365 Security (MS-500, MS-101)
  • πŸŽ–οΈ MCSE, MCT

🀝 Let’s Connect

Whether you’re a CISO building an AI security program, a compliance officer navigating the EU AI Act, or a security professional exploring this emerging fieldβ€”welcome to AiSecurityDIR.

This resource is built for all of us learning together.

ChannelLink
πŸ’Ό LinkedInlinkedin.com/in/eyaldoron1
🌐 LocationBased in Israel, supporting global audience

Building the Manager’s Guide to AI Security β€” One Framework at a Time

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