Rooting Out Overlooked Risks in the Data and AI Supply Chain: Introducing a New Approach
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 protect data and AI supply chains.
To that end, this session will explore:
- 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.
Join us for this all-important topic and earn CPE credits in the process.
Speakers
Niv is the CEO of Noma Security, a stealth cybersecurity startup tackling the ambitious goal of providing security, governance, and compliance across the entire Data & AI Lifecycle. Prior to founding Noma Security, Niv honed his skills as a security manager in Unit 8200, the elite cyber unit of the Israeli Defense Forces, where he collaborated with top experts at the intersection of security and AI. He went on to lead the security products business unit at Verint, experiencing first-hand the undeniable opportunities and unique security challenges of AI. As a core member of the OWASP AI Exchange and a contributor to public policy and community frameworks, Niv is deeply involved in advancing best practices in AI security.
Adrian is an outspoken researcher that doesn’t shy away from uncomfortable truths. He loves to write about the security industry, tell stories, and still sees the glass as half full.
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