A security-aware culture
AI Security and Risk Management
Angeline Corvaglia
Founder and Digital Transformation Expert
All employees recognize
- Importance of protecting data
- Understand their role
AI systems can change and adapt, which means security measures must evolve, too.
IT and Security teams
- First line of defense against external attacks
- Cybersecurity tools and techniques
Identify:
- Inadequate protections
- Vulnerabilities in the software
Data Science teams
- Monitor health and integrity
- Perform as expected over time
Identify:
- Model drift
- Unreliable outputs
- Vulnerabilities in AI algorithms
Compliance and Legal teams
- Follow laws and regulations
- Protect from legal risks
Identify:
- Better personal data protection
- Insufficient transparency
Senior leadership
- Set the tone for security
- Which measures to take
- Allocate resources
Identify:
- Strategic risks
- Project doesn't align with strategic goals
Operations teams
- Real-world feedback
Identify:
- Operational risks
- Identify hallucinations
Human Resources teams
- Cultivate security-aware workforce
- Provide training and awareness
Helps avoid:
- Insider threats
- Data breaches
Customer Service and Support teams
- External perception
- Hidden vulnerabilities
Identify:
- User dissatisfaction
- Trust concerns
- Bias
External partners and vendors
- Align with security culture
- Adhere to standards
Identify:
- Vulnerabilities within the supply chain
Unified security culture
- Diverse roles and perspectives
- Protection over time
Everyone understands the unique value they bring
