The Challenge of Non Deterministic AI Systems
Enterprise security teams face mounting pressure as artificial intelligence agents and applications proliferate. Unlike classic deterministic software, AI breaks the contract of predictable behavior. Niv Braun, co-founder and CEO at Noma Security, warns that this unpredictability combined with a massive blast radius and rapid deployment timelines creates a perfect storm. Security simply cannot keep pace using traditional approaches.
A Unified Framework for AI Security
Braun argues that effective AI security must rest on two pillars: a holistic framework flexible enough to absorb fast moving technologies like Model Context Protocol (MCP), and deep contextualization that connects posture management, access controls, and runtime monitoring into a unified signal. Without runtime visibility, security teams cannot provide accurate recommendations for configuration or access privileges. Braun, who previously led security in Israeli Defense Forces Unit 8200 and shaped AI security standards, emphasizes that knowing which agent actions are legitimate versus risky is essential. A unified AI security platform outperforms siloed point products and enables secure by design capabilities through early partnerships between AI providers and security vendors.
Source: Healthcareinfosecurity
