How to Protect Generative AI Models Using GenAI Secure

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Presented by

Rich Vorwaller, Chief Product Officer, Cloud Storage Security

About this talk

Generative AI (GenAI) presents unique challenges for businesses of all sizes. Accelerating progress on one front, GenAI has a darker side that can leave businesses vulnerable to malware and sensitive data leakage. GenAI Secure offers a simple yet effective solution that can protect AWS environments from malware and data leakage brought from work with Generative AI, external datasets, and more. Using the Ship of Theseus thought experiment, Rich draws parallels to CSS's philosophy of building adaptable and modern solutions rather than relying on outdated methods. This webinar will walk you through our integration with Amazon Bedrock, which furthers GenAI Secure's protection by offering comprehensive threat intelligence and custom policy creation. Through these methods, Artificial Intelligence models are kept free from malicious code and threats, while sensitive data is secured. What you will learn: - GenAI Secure Overview - Understand how CSS protects your AWS and downstream data from the threat of AI - Advanced Protection Features - Learn about our integration with Amazon Bedrock for enhanced threat intelligence and more - Practical Deployment Insights - Discover helpful insights on the real-world applications of GenAI Secure in various customer environments
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At Cloud Storage Security, we pride ourselves on helping organizations across the globe prevent the spread of malware, locate sensitive data, and assess their storage environments in order to extend data privacy, meet compliance requirements, and manage security mandates. Content on this channel is designed for CISOs, SAs, Engineers, MSPs, Auditors and others who are responsible for data security in the cloud. Learn more at www.CloudStorageSec.com.