Best practices to secure notebook environments, MLOps infrastructure and open-source AI usage in pre-production. To view this email as a web page,
click here | December 10th | 2:00 PM ET |
| Attendees of this live webcast may be eligible for CPE credit. |
| Today's application and cloud security tools aren't built to protect today's applications from new and existing risks that AI/ML and GenAI/LMMs introduce. Security teams need a new approach to go beyond just better protecting data and AI supply chains.
To that end, this session will explore: |
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| Real-world examples of vulnerabilities, misconfigurations, and malware found in the data and AI supply chain that today's application and cloud security tools don't protect against -- and how attackers are exploiting them. Best practices to secure notebook environments, MLOps infrastructure and open-source AI usage in pre-production. The urgent need for a comprehensive, all-in-one platform to secure AI-powered applications from development to production How Noma Security's solution is designed to more effectively secure the data and AI supply chain, first- and third-party models and AI applications at runtime. |
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| | | Save your spot for this all-important topic and earn CPE credits in the process. |
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