Poland | Advanced Communication Technologies
Securing human and AI generated code
Vidoc Security Lab has built a technology that secures human and AI-generated code, focusing on real-time vulnerability identification and fixing. This technology is designed to work with various programming languages and can be integrated into existing development workflows. The core product, VIDOC, automates the process of finding and fixing vulnerabilities, ensuring that security does not compromise innovation speed. It supports monorepos, microservices, and monoliths, and provides context-aware vulnerability prioritization.
The technology works by scanning the entire codebase to understand how services and dependencies connect, which allows it to uncover hidden risks and prioritize them accurately. It uses automated prioritization based on business impact, saving hours of manual validation. VIDOC also understands the business context, which enables it to provide more accurate and relevant security assessments. The technology is designed to be easy to use, with zero setup required, and it can monitor and secure code written by humans, co-pilot, ChatGPT, and other AI tools.
Vidoc Security Lab's technology is differentiated from alternatives by its ability to secure AI-generated code and its focus on real-time vulnerability identification and fixing. It is also 5x more accurate than widely used security solutions, which sets it apart from other products in the market. Additionally, its ability to understand the business context and provide context-aware vulnerability prioritization makes it a more effective solution for securing complex codebases.
The technology readiness level of Vidoc Security Lab's product is high, as it is already being used by customers and has demonstrated its effectiveness in securing codebases. The company is also actively engaged with the security community, as evidenced by its participation in conferences such as RSAC 2026. The current stage of the technology is mature, with a focus on continuing to improve and expand its capabilities to meet the evolving needs of its customers.
Defense and government buyers should care about Vidoc Security Lab's technology because it addresses a critical need for securing AI-generated code and protecting against vulnerabilities that can be exploited by adversaries. The use of AI-generated code is becoming more prevalent, and the security risks associated with it are significant. By using Vidoc Security Lab's technology, defense and government organizations can ensure that their codebases are secure and resilient, which is essential for maintaining operational effectiveness and protecting national security.
Specific defense and dual-use applications for Vidoc Security Lab's technology include securing autonomous systems, protecting critical infrastructure, and defending against AI-powered attacks. The technology can also be used to secure codebases used in military operations, such as command and control systems, and to protect against insider threats. Additionally, the technology can be used to secure codebases used in defense-related research and development, such as those related to AI, machine learning, and cybersecurity.
Vidoc Security Lab's technology can integrate with existing defense systems and infrastructure, such as security information and event management (SIEM) systems, intrusion detection systems (IDS), and incident response platforms. The technology can also be integrated with development tools, such as integrated development environments (IDEs) and continuous integration/continuous deployment (CI/CD) pipelines, to provide real-time security assessments and feedback to developers.
The cost of Vidoc Security Lab's technology is likely to be lower than the cost of a data breach, which can average $4.88M according to IBM. By using the technology, defense and government organizations can avoid the costs associated with responding to and remediating security incidents, as well as the costs associated with lost productivity and reputational damage. The return on investment (ROI) for the technology is likely to be high, as it can help organizations avoid significant costs and protect their critical assets.
The total addressable market size for Vidoc Security Lab's technology is significant, as it includes all organizations that use AI-generated code and are concerned about security. The market segments that are most relevant to the company include the defense and government sectors, as well as industries such as finance, healthcare, and technology. The market is growing rapidly, driven by the increasing use of AI-generated code and the growing concern about security risks.
Current alternatives to Vidoc Security Lab's technology include traditional security solutions, such as static application security testing (SAST) and dynamic application security testing (DAST) tools. However, these solutions are not designed to secure AI-generated code and may not be effective in identifying and fixing vulnerabilities in real-time. Other alternatives include manual code reviews and penetration testing, which can be time-consuming and expensive.
The competitive landscape for Vidoc Security Lab's technology is evolving, with new companies entering the market and existing companies expanding their offerings to include AI-generated code security. The company's main competitors are likely to be other security startups that are focused on AI-generated code security, as well as established security companies that are expanding their offerings to include this capability.
The growth drivers for Vidoc Security Lab's technology include the increasing use of AI-generated code, the growing concern about security risks, and the need for real-time vulnerability identification and fixing. The company is also likely to benefit from the trend towards automation and the use of machine learning and AI in security. Additionally, the company's participation in conferences such as RSAC 2026 is likely to help drive growth and increase visibility.
The target buyer personas for Vidoc Security Lab's technology include chief information security officers (CISOs), chief technology officers (CTOs), and other security and technology leaders in defense and government organizations. These individuals are responsible for ensuring the security and resilience of their organizations' codebases and are likely to be interested in solutions that can help them address the security risks associated with AI-generated code.
Specific target organizations for Vidoc Security Lab's technology include defense ministries, prime contractors, and government agencies such as the US Department of Defense and the UK Ministry of Defence. The company may also target other organizations that are involved in defense-related research and development, such as universities and research institutions.
Relevant conferences, events, and procurement programs for Vidoc Security Lab's technology include RSAC 2026, the annual meeting of the Association of the US Army, and the US Department of Defense's (DoD) annual budget and procurement cycle. The company may also participate in other events and conferences that are focused on security, AI, and machine learning.
Complementary companies within the DIANA cohort that Vidoc Security Lab could partner with include other security startups that are focused on AI-generated code security, as well as companies that are working on related technologies such as machine learning and automation.
Potential industry and defense partners outside of DIANA that Vidoc Security Lab could partner with include prime contractors, system integrators, and other companies that are involved in defense-related research and development. The company could also partner with universities and research institutions that are working on AI-generated code security and related technologies.
Cross-sell opportunities with other DIANA companies could include integrating Vidoc Security Lab's technology with other security solutions, such as threat intelligence platforms or incident response tools. The company could also partner with other DIANA companies that are working on related technologies, such as machine learning or automation, to provide a more comprehensive solution to customers.
A novel application angle for Vidoc Security Lab's technology that most people wouldn't think of is using it to secure codebases used in autonomous systems, such as self-driving cars or drones. This could involve integrating the technology with other safety and security solutions to provide a comprehensive approach to securing these systems.
This creative angle matters strategically because autonomous systems are becoming increasingly prevalent and are being used in a variety of applications, including military and defense. Securing these systems is critical to ensuring public safety and preventing accidents, and Vidoc Security Lab's technology could play a key role in this effort.
A non-obvious technical insight about Vidoc Security Lab's technology is that it uses a combination of machine learning and automation to identify and fix vulnerabilities in real-time. This approach allows the technology to scale to large and complex codebases, and to provide more accurate and relevant security assessments than traditional security solutions.
The best partnership approach for Vidoc Security Lab within the DIANA ecosystem would be to collaborate with other companies that are working on related technologies, such as machine learning or automation. This could involve integrating the company's technology with other solutions, or working together to develop new and innovative approaches to securing AI-generated code.
Vidoc Security Lab secures AI-generated code in real-time