Vulnerability Research Artificial Intelligence, or VRAI, is a personal research project attempting to fuse the deep complexity of software development security challenges with the analytical strengths of AI/ML technology.
VRAI is the research project of Trevor Johnson, a cybersecurity researcher with over 15 years of experience working with world-leading research organizations.
Modern AI/ML solutions are poised to cause devastating damage in trusted technologies at a velocity never seen before. Increased ability for hackers to break apart systems and perform complex analysis opens up the doors to terrifying new cyber threats. The automation provided by AI/ML also enables the scale and speed of cyberattacks to drastically rise, turning what would be individual breaches into global phenomena. These technologies will be developed in dark rooms around the globe in a bitter competion, racing to the bottom.
The mission of VRAI is to explore the different ways that AI/ML technologies can revolutionize cybersecurity analysis and bring these technologies to the people who have systems to protect. By understanding how new offensive cybersecurity technologies can and have been developed, we can beat them together. VRAI is working to empower users and developers to keep their platforms hardened and secure in this new era. I hope that critical industries, like medical and power sectors, will be able to find their vulnerabilities on their dev stack before someone like me can find them in production.
Contact Me →Vulnerability Research enhanced through AI / ML technologies
Leveraging LLM-powered multi-agent workflows, VRAI is investigating the collection, ingestion, and initial triage of samples of potentially vulnerable software and systems.
VRAI is researching reinforcement learning solutions to drive better guidance to fuzzer technologies, allowing less people to find more bugs, and faster.
Research into steering symbolic execution for more efficient, effective solvers is part of VRAI's work in creating proof-of-concept exploits against vulnerable systems.
VRAI is working to take these research technologies and integrate them into deployment workflows, letting every developer have a hacker looking over their shoulder before changes reach production.
Code bases can have complicated hierarchies of dependencies, and VRAI looks to automate going through that to be assured that a developer you've never heard of hasn't introduced a vulnerability to your production environment.
Secure solutions require secure delivery, and in an era of rising attacks against content delivery networks, monitoring and assesment of binaries and platforms using AI/ML workflows developed by VRAI can stop infected files for you and your users.
Fusing state-of-the-art AI/ML with deep offensive cybersecurity knowledge for a safer future.
The core of the platform is built from a variety of AI/ML technologies, including deep neural networks for reinforcement learning, pattern recognition, and predictive analysis.
We use LLM's in mutli-agent workflows to collect, process, and analyze vast data sets, leveraging function calling to build autonamous workflows that deliver analysis products instead of problems.
Our AI workflows integrate directly into developer and deployment systems to bring these tools to the people who need it, and fast, securing your systems and all the tools you depend on.
People need help in uncertain times. Reach out to me for consultations or any inquiries. VRAI isn't ready to demo yet, but if you have questions or want to stay informed, let me know.
Email: [email protected]