Agenda

AI is a topic that is increasingly included in conversations around data security. This is because AI models often require access to sensitive data, and their algorithms and decision-making processes can also potentially create new vulnerabilities for data security.

AI and machine learning algorithms can be used to analyze large volumes of high-risk and sensitive data to identify patterns, predict outcomes, and improve patient care. healthcare operations, advertising trending, predictive analytics, or support financial research.

This session covers best practices for securing AI models in cloud environments, including strategies for data encryption, access control, and network security. It could also explore the unique security challenges that arise when working with cloud-based AI ML models and provide guidance for mitigating insider threats and in-memory processing risks.

Key takeaways:

• Learn how to protect sensitive data: AI/ML models from accessing to sensitive data such as personal information, financial records, or medical records by allowing it to be processed in an encrypted environment, preventing unauthorized access
• Secure model training: Know how to use confidential computing to secure the model training process by encrypting the data used for training, it prevents malicious actors from reverse-engineering the model or stealing sensitive data
• Improved regulatory compliance such as GDPR, HIPAA, CPPA, and others, by providing an immutable and tamper-proof log to ensure data is kept confidential and secure.
• Secure model deployment: Demonstrate how Confidential Clean Room can be used to secure the deployment of AI/ML models in a trusted execution environment (TEE)

Is your organization doing what it should to protect the confidentiality, integrity, and availability of your data? Join us for a comprehensive look at the latest strategies and technologies for safeguarding your environment. From SASE to Zero Trust, we’ll help make sense of the latest buzzwords, as well as discuss established best practices on topics ranging from firewalls to frameworks. Throughout the presentation, we will address the importance of a programmatic approach to security and provide guidance on how to avoid common pitfalls. Attendees will leave with a better understanding of what is involved in a holistic approach to data security and how they can CYA with CIA.