Fwd: [security-lunch] Aug 13 | Nyah Check on "AI-Native Detection & Response for Non-Email Communications"

[Alan Karp]

--------------
Alan Karp

---------- Forwarded message ---------
From: Rumaisa Habib <rum...@stanford.edu>
Date: Mon, Aug 11, 2025 at 12:47 PM
Subject: [security-lunch] Aug 13 | Nyah Check on "AI-Native Detection & Response for Non-Email Communications"
To: securit...@lists.stanford.edu <securit...@lists.stanford.edu>

Security Lunch ☀️ Ed. — Wednesday,  Aug 13th, 2025, 12:00 pm @ CoDa E160

AI-Native Detection & Response for Non-Email Communications

Nyah Check

Can't make it in person? Join us on zoom.

See our past & upcoming events on our website! 

Abstract: While enterprise security has long focused on endpoints, networks, and email, the modern workplace increasingly relies on encrypted and ephemeral messaging platforms like Slack, Signal, WhatsApp, Microsoft Teams and others —especially in regulated sectors such as finance, healthcare, and defense. These platforms have become blind spots in enterprise security architectures, enabling sensitive data to move quickly and undetected. This is exacerbated by recent Signal Gate leaks from the Department of Defense and multi-billion dollar fines from the SEC to various financial institutions.

In this talk, I’ll present our work at Aten Security building an AI model for detection and response across non-email communications. Our platform uses large language models (LLMs) and streaming inference to identify material nonpublic information, insider trading, personal health data, credentials, IP leaks, classified information, state secrets and compliance violations —while preserving user privacy and operating in compliance with frameworks like SEC, CFTC, HIPAA, and DoD guidelines.

I’ll walk through the system’s architecture, deployment models, and design constraints for redacting or blocking sensitive content in real time—across multiple platforms—without compromising encryption. I’ll also share insights from production uses in financial institutions, and highlight open research questions around adversarial detection, LLM auditability, and redaction-aware summarization. This talk aims to open a conversation at the intersection of AI, compliance, and real-world secure systems design.

Bio: Nyah Check is the founder and CEO of Aten Security, a cybersecurity startup focused on non-email communications in regulated industries through AI-native detection and response. Previously, he worked for over a decade in security engineering roles across Anchorage Digital, Altitude Networks(acq), Rapid 7 and Google. His work focuses on building secure systems at the intersection of real-time communications, compliance automation, and applied machine learning. He is based in San Francisco and holds a BEng. in Computer Engineering from the University of Buea in Cameroon.

                                                                    

Rumaisa Habib 🐸

CS PhD Student, Stanford University

rumaisahabib.com

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