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AI-backed Software Composition Analysis For a Secure & Compliant Software Supply Chain
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ABOUT US

Innovating Analytics For Securer Cyberspace

At Deepbits, we innovate striving to solve the emerging challenges in software supply chain security and compliance.

We are a group of security researchers and engineers focused on developing binary and AI analysis techniques (e.g., program analysis, virtualization, and machine learning/deep learning) to solve computer and software security problems. We apply our patented technology to expose software composition and dependencies supporting all popular programing languages and architectures. We also perform vulnerability discovery, program hardening, digital forensics and malware detection as part of this process.

TEAM

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Dr. Heng Yin

CEO, Founder

Computer security

Professor @UCR

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Dr. Xunchao Hu

CTO, Founder

Software security, program analysis

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Dr. Angelos Stavrou

Board Member

Founder of Kryptowire, a leader in mobile security and privacy

Professor @VT

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Sheng Yu

Research Scientist

Software security, program analysis

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Dr. Wei Song

Research Scientist

Malware analysis, deep learning, and memory forensics

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Dr. Ju Chen

Research Scientist

System security, program analysis, and fuzzing

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Yaodong Li

Full Stack Developer

Node.js, React

8 years industry experience

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Chao Sang

Full Stack Developer

Node.js, React

5 years industry experience

Academic Achievements

>20K

Citations

>40

Papers in S&P, Usenix Security, CCS, and NDSS

Open-Source Projects

Industry Experience
FireEye
Baidu
KryptoWire
ThoughtWorks
Intel
Bosch

OUR SUPPORTERS

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