# Episode 63: Rethinking DLP: Nightfall AI’s Rohan Sathe on Data Protection in the Age of AI Agents

Page: https://stenobird.com/podcast/909exec-7089471/episode-63-rethinking-dlp-nightfall-ai-s-rohan-sathe-on-data-protection-in-the-age-of-ai-agents
Text version: https://stenobird.com/podcast/909exec-7089471/episode-63-rethinking-dlp-nightfall-ai-s-rohan-sathe-on-data-protection-in-the-age-of-ai-agents.md
Podcast: [909Exec](https://stenobird.com/podcast/909exec-7089471)
Published: 2026-06-21T21:06:57+00:00
Episode link: https://podcasters.spotify.com/pod/show/909exec-podcast/episodes/Episode-63-Rethinking-DLP-Nightfall-AIs-Rohan-Sathe-on-Data-Protection-in-the-Age-of-AI-Agents-e3l3ejh
Audio file: https://anchor.fm/s/faf7fd28/podcast/play/121796657/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-5-21%2F426565854-44100-2-9663c7f73c2f8.mp3
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Duration seconds: 2385

## Resource

Introduction Summary Hosted by CEO Den Jones, "909 Exec" is a leadership podcast from 909 Cyber. Jones uses his 30+ years of enterprise security experience at companies like Adobe and Cisco to help executives navigate risk and transformation. Episode 63 features Nightfall AI co-founder and CEO Rohan Sathe for a deep dive into Data Loss Prevention (DLP). Main Topics Covered Entrepreneurial Journey: Sathe discusses his Silicon Valley roots and transition from the Uber Eats founding team to a cybersecurity founder. Consumer-Grade Enterprise Software: Sathe applies lessons from Uber Eats—building scalable products for low-switching-cost markets—to drive Nightfall’s enterprise product quality. Fundraising Strategy: Outlining Nightfall’s $65M total raise, Sathe emphasizes prioritizing investors who offer cybersecurity expertise and founder empathy over just capital. Flaws of Legacy DLP: After interviewing ~100 CISOs in 2018, Sathe found legacy tools were noisy, unpopular, and unsuited for modern cloud apps like Slack and Google Drive. Skepticism & Pain Points: Jones details his historical skepticism of DLP, citing lost employee productivity, high false-positive rates, blind spots, and a heavy reliance on user-driven classification. Design Principles: Nightfall aims to make DLP "invisible" to end-users unless an incident occurs. Jones relates this to his view that security should be "invisible, invincible, and inexpensive." Frictionless Architecture: Unlike SASE vendors that rely on latency-heavy network proxies, Nightfall targets optimal insertion points to eliminate user workflow delays and efficiently handle false positives. AI-Driven Risk Modeling: Replacing legacy regex rules with neural-network NLP and computer vision, Nightfall uses a…

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