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Databricks and Noma tackle CISOs’ AI nightmares around inference vulnerabilities
- Databricks Ventures and Noma Security address AI inference vulnerabilities with a new $32 million partnership.
- Noma embeds real-time threat analytics and AI red teaming with Databricks to enhance enterprise AI security.
- There is a crucial need to secure AI inference in real-time due to potential data leaks and model manipulations.
- Gartner predicts over 80% of AI incidents will result from internal misuse through 2026.
- Noma's red teaming approach identifies vulnerabilities early, ensuring AI integrity from pre-production.
- The proactive red teaming method helps in early vulnerability detection, strengthening runtime protection.
- Noma's runtime protection is designed to handle complex AI interactions, including generative AI models.
- By integrating governance into the data lifecycle, Databricks' Lakehouse architecture addresses compliance and security risks.
- The Databricks-Noma partnership offers real-time protection against AI threats like data leaks and model jailbreaks.
- Integrated governance and real-time threat detection are crucial as enterprise AI adoption accelerates.
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