Vidoc Security Lab provides an AI‑native vulnerability detection platform that scans code in real time, integrating with version‑control systems to analyze pull‑request diffs and full codebases for security flaws, especially those introduced by AI code generators. The service prioritizes findings by business impact, offers automated remediation suggestions, and can be deployed in single‑tenant cloud or on‑premises environments for enterprise security.
Funding
$2.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

3OFounders
Product
Problem
Developers increasingly rely on AI code generators such as Copilot and ChatGPT, which introduce a class of vulnerabilities that traditional static analysis tools miss, leading to security bugs that remain hidden in pull requests and production code.
Solution
Vidoc Security Lab offers an AI‑native vulnerability detection platform that scans code in real time as developers write or submit changes. The service integrates with version‑control workflows to automatically analyze pull‑request diffs and full codebases, identifying security issues introduced by AI‑generated snippets and conventional code alike. Detected flaws are prioritized based on business impact, and the platform can automatically generate remediation suggestions or patches. Results are delivered through a web dashboard and can be accessed via API, enabling teams to merge faster while maintaining a secure codebase. For enterprise customers, Vidoc can be deployed in a single‑tenant cloud or on‑premises environment, ensuring that proprietary code never leaves the organization’s infrastructure.
Target Audience
Primary users are software development teams and security engineers at mid‑size to large enterprises that incorporate AI code generation into their development pipelines.
Features
- Real‑time PR diff scanning and full codebase audits for JavaScript/TypeScript, Python, Java, C++, Go and other major languages
- AI‑driven vulnerability detection tuned to flaws common in AI‑generated code, reducing false positives compared with traditional SAST tools
- Automated prioritization using business‑impact scoring and optional auto‑fix generation for identified issues
- Web dashboard with detailed findings, remediation guidance, and trend analytics; API access for CI/CD integration
- Deployable in single‑tenant cloud or on‑premises environments, keeping all source code within the customer’s network
- Support for integration with GitHub and other Git platforms, enabling seamless security checks in existing developer workflows