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Bold Security co-founder and CEO Nati Hazut put forward this judgment: AI shifts sensitive work to endpoints, and endpoint security needs to cover the data interactions of employees and autonomous agents. According to an interview published by Unite.AI on October 24, 2026, Hazut introduced that the company uses small language models running directly on devices to identify sensitive data and how it is used, covering browsers, desktop applications, and AI agents. He pointed out that desktop AI applications and agents bypass the visibility of network detection, CASB, and DSPM, becoming new channels for data exfiltration; endpoint-side solutions can intervene in real time before data leaves the enterprise's control. Currently, this judgment is presented by this single interview report, and there are no subsequent factual developments.
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Oct 24
Unite.AI
Interview with Bold Security Co-founder and CEO Nati Hazut: Using On-Device Small Models to Safeguard Enterprise Data
In the interview, Bold Security Co-founder and CEO Nati Hazut explained that the company uses small language models running directly on devices to identify sensitive data and how it is used, covering browsers, desktop applications, and AI agents. He pointed out that desktop AI applications and agents bypass the visibility of network detection, CASB, and DSPM, becoming new channels for data exfiltration; an on-device approach can intervene in real time before data leaves the enterprise's control.