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Securing AI at scale: Databricks and Noma close the inference vulnerability gap
Databricks Ventures and Noma Security partner to tackle critical AI inference vulnerabilities with real-time threat analytics, proactive red teaming, and robust governance, helping CISOs confidently scale secure enterprise AI deployments.
“Real-time threat analytics at the inference stage ensure enterprises maintain robust runtime defenses, minimizing unauthorized data exposure and adversarial model manipulation.” Noma’s proactive red teaming approach is strategically central to identifying vulnerabilities long before AI models reach production, Braun told VentureBeat. By embedding governance directly into the data lifecycle, Lakehouse architecture addresses compliance and security risks, particularly during the inference and runtime stages, aligning closely with industry frameworks such as OWASP and MITRE ATLAS.
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