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

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AI Security and Risk Management

Evolving regulation

Governments

  • Balance between innovation and security

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Influence how organizations can collect, store, and use data

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Litigations

  • Influence AI security best practices

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AI Security and Risk Management

Synthetic data

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Artificial data sets

  • Resemble real-world information

Don't use

  • Personal information
  • Intellectual property

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Security measures

  • Ensure the integrity and robustness
AI Security and Risk Management

Artificial General Intelligence (AGI)

Understand and learn any intellectual task that a human can

  • Requires robust security considerations
  • Built in from the beginning

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Safeguard against potential misuse

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AI Security and Risk Management

Importance of explainability and transparency

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  • Quicker adaptation of security measures
  • Alleviate concerns about potential misuse or bias
  • Avoiding legal issues
AI Security and Risk Management

Continuous improvement

Outdated defenses more vulnerable to

  • Attacks
  • Data breaches
  • Compliance issues
  • Erode trust
  • Cost money
  • Hinder innovation

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AI Security and Risk Management

Adaptive leadership

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  • Long-term security strategy
  • Agile approach
  • Easier to keep up
AI Security and Risk Management

On top of new developments

 

  • Attending industry conferences
  • Following security researchers' work
  • Subscribing to publications
  • Connecting with the AI security community
  • Participating in online forums

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AI Security and Risk Management

Let's practice!

AI Security and Risk Management

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