Cybersecurity & Data Integrity Training

This classroom-based course provides awareness-level training specifically to the C-suite executives, and upper management of organizations.

This training for SDLC practitioners aims to bring awareness and create the infrastructure for: 

1. Proactive not reactive 

2. Privacy as the default setting 

3. Privacy embedded into design 

4. Full functionality 

5. End-to-end security 

6. Visibility and transparency 

7. Respect for user privacy  

What are the elements of an effective Postmarket Cybersecurity Program? Can you prove it in an audit? Do you have the right metrics or KPIs?

This hands-on training is meant to teach first time cyber professionals on how to built a vulnerability tool and how to apply it in their device of choice. It does include the incorporation/consideration of:

• Attack Vector (physical, local, adjacent, network); 
• Attack Complexity (high, low); 
• Privileges Required (none, low, high); 
• User Interaction (none, required); 
• Scope (changed, unchanged); 
• Confidentiality Impact (high, low, none); 
• Integrity Impact (none, low, high); 
• Availability Impact (high, low, none); 
• Exploit Code Maturity (high, functional, proof-of-concept, unproven);
• Remediation Level (unavailable, work-around, temporary fix, official fix, not defined); and 
• Report Confidence (confirmed, reasonable, unknown, not defined).  

An advanced 3 day training that covers every angle of how to plan, conduct, report, and if necessary remediate Data Integrity gaps. Covering the following:

• Data integrity Principles
• ALCOA++ Requirements
• Data governance 
• Data Life Cycle
• Organizational Requirements
• Records
• Computer System Validation 
• Security
• CAPAs