Title: AWS re:Inforce 2024 - Securing AI models and using AI to maintain compliance (SEC321-S)

Insights:

• Importance of AI Security: The session emphasized the critical need to secure AI models due to their vulnerability despite their value. A recent IBM study highlighted that 64% of CEOs feel pressured to adopt generative AI, but 96% believe it increases the risk of data breaches.
• Dual Focus on AI Security: The discussion covered two main aspects: securing AI models and using AI for security operations. This includes protecting the models, the data used for training, and ensuring the right governance and access controls.
• Challenges in AI Security: Key challenges include managing the vast amount of data required for training AI models, which increases the attack surface, and the need to stay ahead of attackers who also use AI.
• IBM's AI Security Framework: IBM has developed a framework for securing AI, which includes collecting and handling data securely, developing and training models securely, and protecting the usage of models. This framework also emphasizes the importance of governance and infrastructure security.
• AI Firewalls and Model Scanning: IBM and its partners are using AI firewalls to monitor data flow and prevent issues like data leakage and prompt injection. Model scanning is crucial to ensure third-party models are safe and untampered.
• Deepfake Detection: Identifying and dealing with deepfakes is essential as they can pose significant security risks, including compromising biometric identification systems.
• IBM's Use of AI for Security: IBM is leveraging AI for various security applications, including generative AI chatbots for identity governance, compliance frameworks, and generating insights from analytics.
• Autonomous Security and Compliance (ASC): IBM, in collaboration with AWS, is developing an AI-driven service called ASC. This service will generate and deploy compliance controls, monitor for drifts, and take corrective actions using AWS native tools and technologies.

Quotes:

• "These solutions can be as vulnerable as they are valuable to your organization."
• "64% of the CEOs are under pressure to get Gen AI out there... but 96% say that adopting generative AI makes that breach of data much more likely."
• "We need to make sure that that access is being properly governed all the way across the board."
• "It is better that you hack your own models, test it, rather than a hacker doing it for you."
• "Deepfakes might start actually competing against your biometric identification."
• "Imagine that you have a Gen AI system that is able to deploy or generate detailed controls based on your compliance requirements."
• "We are calling it Autonomous Security and Compliance, or ASC."