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Noma Security’s Niv Braun on Taming the Non-Deterministic Enterprise
The surge in artificial intelligence agents and applications has created a perfect storm for enterprise security teams – one where the technology is non-deterministic, the blast radius is enormous, and the pressure to roll out quickly doesn’t give security time to catch up, said Niv Braun, co-founder and CEO at Noma Security.
See Also: How Attackers Use AI to Outsmart Email Filters
Classic software is deterministic: It does what you define. AI applications break that contract. That unpredictability, Braun said, demands a security approach built on two principles: a holistic framework that’s flexible enough to absorb fast-moving technologies such as MCP, and deep contextualization that connects posture management, access controls and runtime monitoring into a unified signal.
“If you don’t see what happens in runtime, you cannot provide good recommendations on how to configure and what access to provide to your agent as part of the posture management, as part of access control,” Braun said.
In this video interview with Information Security Media Group at RSAC Conference 2026, Braun also discussed:
- How early partnerships between AI providers and security vendors enable secure-by-design capabilities;
- Why a unified AI security platform outperforms siloed point products;
- Knowing which agent actions are legitimate versus which represent real risk.
Braun leads strategy and product vision for AI and agent security platform Noma Security, which has grown rapidly since late 2024. He previously managed security in Unit 8200 of the Israeli Defense Forces, led security products at Verint and helped shape AI security standards and policy frameworks.
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