Open Raven research
& open source
Magpie
Magpie is an open-source Cloud Security Posture Management tool or CSPM that allows organizations to discover and assess their AWS and GCP infrastructure against industry best practices and community developed security rules.
Free-up your budget with a professionally developed and maintained, modern, extensible, scalable and free alternative to commercial, closed-source legacy CSPMs.
Mockingbird
Mockingbird is an open-source data generator that injects sensitive data into a wide-range of file formats for safer software development and testing data security tools. We built Mockingbird to test the efficacy and to benchmark our data classification engine.
Improve testing and benchmarking without creating more risk for your organization or customers.
Latest from Open Raven Research
Open Source at Open Raven
Who We Are
We’re a team of software engineers and security researchers who have fingerprints all over the open source world. Mark Curphey was the founder of OWASP, the Open Web Application Security project and has worked on security strategy for the Linux Foundation / CNCF. We have a full-time development team who are 100% dedicated to working on our open-source projects and who are active committers to many popular security and infrastructure tools.
Why Open Source Matters to Us
Open source is at the core of our commercial platform. It’s so important that it shares half of our company’s name. We are the creators and maintainers of Magpie, an open-source cloud discovery and security rules engine that is the core of our commercial platform and is available as a stand alone, fully functioning open source Cloud Security Posture Manager or CSPM.
Impact
By sharing the core of our platform we are able to provide meaningful security functionality for free back to the community. It's just the right thing to do. Our customers benefit from this transparency, being able to see the latest innovation and research that usually finds its way in the commercial products in upcoming releases. We are able to partner with the security community on ideas and joint development.
Our Research Team
First engineer at Open Raven, Engineering Manager for Azure storage, Director of Engineering for Microsoft Strategic engagement team and Bing Security Strategist. Architect at McAfee and consultant at Foundstone. PhD in computer science and assistant professor at Florida Institute of Technology. Roadie for stadium rock bands in the 90s.

Jason Nichols
Co-founder and Technical Engineering Lead of SourceClear, software developer at Veracode and McAfee. Worked on mesh networking and situational awareness software for the defense industry. A private pilot with a 1968 plane.

Former UCLA computer science major. Author of Mockingbird. Best known as the author of Dandere2x!, a popular video processing library that upscales videos into high-resolution versions. Dandere2x! Is widely used in upscaling classic Anime movies and digital comics to 4K versions and high resolution images.

Former Security Researcher at Anomali. Worked as a developer before transitioning into threat intelligence with a focus on reverse engineering and APT groups. Graduated from University of Ulster with a bachelor's degree in software engineering, and Queens University with a master's degree in data analytics.


Former Application Security Engineer at Funding Circle. A huge fan of Cloud Security Research and Bug Bounty, where he actively builds tooling for external attack surface mapping, monitoring and exploitation across a large number of target organizations.


Former Data Analyst at Nature Publishing Group and NYU School of Medicine, Ph.D. in English from the Graduate Center, City University of New York, former postdoctoral researcher at Pennsylvania State University. He is eager to apply his skills in Natural Language Processing to real-world problems and help secure data. He is the author of the forthcoming book "Language and the Rise of the Algorithm," which brings together the histories of mathematics, computer science, and linguistic thought.
