BeeSafe AI

Frontier AI Defenses for Social Engineering Attacks

Y CombinatorWinter 2026ActiveB2BSecurity

What they do

Problem

Organizations cannot detect or stop AI-driven social engineering attacks happening through conversations across SMS, voice, email, and social platforms, including encrypted channels.

Solution

BeeSafe AI deploys undercover AI agents that engage attackers to uncover infrastructure and convert adversarial conversations into actionable intelligence while training proprietary defense models.

Who it's for

Banks and other financial institutions and enterprises seeking protection against social engineering and financial crime.

Founders

Daniel Spokoyny

Founder & CEO

I am a machine learning and security researcher with 10+ years in ML and NLP. I earned my PhD at CMU with research on novel transformer architectures, better training objectives, and evaluation benchmarks for reasoning.

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Ariana Mirian

Founder

Cofounder at BeeSafe AI. I have over ten years of experience as a security research and measurement scientist, using large scale data to make better security decisions. I've worked in various organizations, such as Censys, Google Chrome, and UCSD, all of which have provided unique perspectives into security at scale to protect the end user. My goal is to make the Internet a safer place for everyone, regardless of background or technical expertise.

Nikolai Vogler

Founder

CS PhD from UCSD and ex-CMU LTI. My objective is to reduce human-driven cyber risk after hearing so many stories from peers about how they’ve gotten scammed. I have worked in machine translation, optical character recognition, and document attribution, which was actually interrupted by a real-world ransomware attack.