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π€ Who I Am
After 25+ years in cybersecurityβfrom hands-on implementation to leading enterprise security programs at organizations like Citi, Microsoft, and SanDiskβI 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.
π― The Mission
AiSecurityDIR serves as “The Manager’s Guide to AI Security”βa 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:
| Tree | Framework |
|---|---|
| π³ Tree 1 | AI Security Domain Structure |
| π³ Tree 2 | AI Risk Taxonomy |
| π³ Tree 3 | AI Security Control Framework |
| π³ Tree 4 | AI Security Lifecycle |
| π³ Tree 5 | Regulatory & Compliance Framework |
π‘ My Approach
I’m not claiming to be “the AI Security expert”βthis 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.
βοΈ 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:
- π Planning article structure
- ποΈ Developing frameworks
- β Ensuring technical accuracy
- π Making information accessible through clear language, practical examples, and real-world analogies
π Background Highlights
πΌ Current Role
VP, Cybersecurity Innovation at Citi (5+ years)
- π¬ Technology assessment and research (15-20 evaluations)
- π€ AI Security focus: Supply Chain Security, Prompt Shielding, Deepfake Detection
- π 30% implementation adoption rate
π Previous Experience
| Role | Organization | Highlights |
|---|---|---|
| π’ Technical Manager | Microsoft (7+ years) | Top 1 Global CSAT, Office 365 |
| π EMEA Security Manager | SanDisk (6+ years) | M&A Integration Lead |
| ποΈ Security Architect | Deloitte | Senior Consultant |
| π Microsoft Certified Trainer | β | Trained hundreds of IT professionals |
π Certifications
- ποΈ IBM AI Product Manager
- ποΈ Microsoft 365 Security (MS-500, MS-101)
- ποΈ MCSE, MCT
π€ 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 fieldβwelcome to AiSecurityDIR.
This resource is built for all of us learning together.
| Channel | Link |
|---|---|
| πΌ LinkedIn | linkedin.com/in/eyaldoron1 |
| π Location | Based in Israel, supporting global audience |
Building the Manager’s Guide to AI Security β One Framework at a Time
