Partnership Aims to Secure AI Inference Against Growing Threats

By Netvora Tech News

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CISOs know that the vulnerable stage of AI deployment, inference, is where the rubber meets the road. It's here that live models meet real-world data, leaving enterprises exposed to prompt injection, data leaks, and model jailbreaks. To address these inference-stage threats, Databricks Ventures and Noma Security have teamed up to provide real-time threat analytics, advanced inference-layer protections, and proactive AI red teaming. The partnership, backed by a fresh $32 million Series A round led by Ballistic Ventures and Glilot Capital, aims to fill the critical security gaps that have hindered enterprise AI deployments. According to Niv Braun, CEO of Noma Security, "The number one reason enterprises hesitate to deploy AI at scale fully is security." With Databricks, Noma is embedding real-time threat analytics, advanced inference-layer protections, and proactive AI red teaming directly into enterprise workflows. This joint approach enables organizations to accelerate their AI ambitions safely and confidently. Traditional cybersecurity prioritizes perimeter defenses, leaving AI inference vulnerabilities dangerously overlooked. Andrew Ferguson, Vice President at Databricks Ventures, emphasized customer urgency regarding inference-layer security. "Our customers clearly indicated that securing AI inference in real-time is crucial, and Noma uniquely delivers that capability," Ferguson said. "Noma directly addresses the inference security gap with continuous monitoring and precise runtime controls."

Real-Time Analytics and Runtime Defense Crucial for Securing AI Inference

Gartner finds that securing AI inference demands real-time analytics and runtime defense. Noma's proactive red teaming aims to ensure AI integrity from the outset, detecting and mitigating potential threats before they can cause harm. With this partnership, organizations can finally deploy AI at scale, safely and confidently, thanks to Databricks' and Noma's combined expertise in AI security.