AI security for the future
AI Security and Risk Management
Angeline Corvaglia
Founder and Digital Transformation Expert
Mindset of constant change when thinking about AI security
Evolving regulation
Governments
- Balance between innovation and security
Influence how organizations can collect, store, and use data
Litigations
- Influence AI security best practices
Synthetic data
Artificial data sets
- Resemble real-world information
Don't use
- Personal information
- Intellectual property
Security measures
- Ensure the integrity and robustness
Artificial General Intelligence (AGI)
Understand and learn any intellectual task that a human can
- Requires robust security considerations
- Built in from the beginning
Safeguard against potential misuse
Importance of explainability and transparency
Continuous improvement
Adaptive leadership
On top of new developments
