Jun

01

2025

Introducing Dr. Binary: Agentic Binary Analysis for Everyone

Jan

01

2025

Deepbits Secures DARPA INGOTS Contract to Advance Automated Exploit Generation for Android

Sep

01

2024

Deepbits Awarded NSF SBIR Phase I Grant for Pioneering AI-Powered Software Supply Chain Security Solution

Apr

27

2023

Deepbits Presents AI-Powered Solution for Software Supply Chain Security and Compliance at RSA CISA Booth

Apr

27

2023

Deepbits Selected as Awardee for DHS Silicon Valley Innovation Program to Enhance Software Supply Chain Security

Apr

11

2023

Deepbits Released Free GitHub Action and SBOM Badge, Enabling Automated Creation and Risk Analysis of Software Bill of Materials (SBOM)

Mar

17

2023

Deepbits Released Free Software Supply Chain Arsenal

Oct

21

2022

Riverside’s Deepbits Digs Deep to Stop Cyber Attacks

Jul

23

2021

Deepbits Won NSF SBIR Phase I Award for “Enabling Robust Binary Code AI via Novel Disassembly”

Mar

11

2020

Deepbits Won AFWERX SBIR Award for “Next Generation Threat Management Platform For USAF’s Software Assets”

Jan

01

2018

Deepbits Won NSF SBIR Phase I Award for “Building Extensible and Customizable Binary Code Analytics Engine for Malware Intelligence as a Service”

Deepbits Won AFWERX SBIR Award for “Next Generation Threat Management Platform For USAF’s Software Assets”

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On March 11th, 2020, Deepbits won a AFWERX SBIR Phase I Award for “Next Generation Threat Management Platform For USAF’s Software Assets”.

While everything we know is being rapidly reshaped by software, security concerns such as vulnerability, malware, or code plagiarism continue to rise. Unknown threats can lie dormant in products purchased from software vendors or lay invisibly within internal custom software and systems. Failing to mitigate these threats could result in cyber attacks and cause significant losses. For example, the credit bureau Equifax agreed to a settlement with the Federal Trade Commission, which required it to pay around $700 million in compensation to consumers whose personal information was exposed in a 2017 server breach. The level of auditing required to probe internal software assets for unknown threats has grown beyond the resources and capabilities of many businesses. There is a critical need for cyber security strategies and systems to identify and mitigate these threats at the earliest stage of the software development cycle, and at the most minute levels possible.

This project aims to build the next-generation threat management platform that utilizes artificial intelligence, specifically deep learning, to root out vulnerabilities, malware, and code plagiarism. The platform can accomplish this in minutes, from one location, and without the need of any source code.