Traditional Static Application Security Testing (SAST) tools rely on pattern matching and predefined rules, which limits their ability to detect complex, context-dependent vulnerabilities. Organizations integrating security into DevSecOps pipelines often struggle with high false-positive rates and miss sophisticated attack vectors that require semantic understanding of the code. Additionally, integrating security analysis into CI/CD workflows typically requires significant configuration and expertise.
This tool provides an AI-powered security analysis framework that integrates seamlessly into GitLab CI/CD pipelines. By leveraging CAI's bug_bounty_agent, the system performs intelligent, context-aware security analysis that goes beyond simple pattern matching. The agent understands code semantics, data flow, and potential attack chains, enabling it to identify vulnerabilities that traditional scanners would miss.
The architecture is designed to be target-agnostic - it can analyze any source code directory, configuration files, or network configurations by simply modifying the CI job parameters. The multi-agent approach allows for specialized analysis (source code analysis, config analysis, comprehensive analysis) that can be run in parallel or sequentially based on pipeline requirements.
In this video, we can see how CAI analyzes the requested targets inside the GitLab CI, and its results in the created HTML file. The demonstration showcases the complete workflow from code commit to vulnerability reporting, highlighting the seamless integration of AI-powered security analysis into existing DevOps workflows.
CAI is the leading open-source framework that democratizes advanced security testing through specialized AI agents. With EU backing, CAI is used by thousands of researchers and organizations worldwide. Unlike traditional SAST tools that rely on pattern matching, CAI's semantic understanding of code enables it to detect complex, context-dependent vulnerabilities that would remain hidden in conventional scans.
The tool generates GitLab-compatible security reports (version 14.0.0 format), HTML dashboards for human review, and JSON reports for programmatic processing. Each vulnerability includes line-level code references, risk descriptions, and specific remediation guidance, enabling development teams to quickly understand and fix security issues without requiring deep security expertise.
GitLab CI/CD is a continuous integration and deployment platform integrated into GitLab that automates the software development lifecycle. It enables teams to build, test, and deploy applications through automated pipelines defined in .gitlab-ci.yml files. Organizations use GitLab CI/CD to implement DevOps best practices, automate testing, and accelerate software delivery.
As organizations embrace DevSecOps, integrating security testing into CI/CD pipelines has become critical. Traditional security tools often require extensive configuration, generate high false-positive rates, and lack the semantic understanding needed to detect sophisticated vulnerabilities. This creates a gap between the speed of development and the depth of security analysis required to protect modern applications.
CAI addresses this challenge by providing AI-powered security analysis that integrates seamlessly into GitLab CI/CD workflows. The tool requires minimal configuration, understands code context and semantics, and generates actionable reports compatible with GitLab's native security dashboard. This enables organizations to maintain rapid development cycles while ensuring comprehensive security coverage.
~3-10 min
(Varies based on codebase size, analysis depth, and infrastructure)
Traditional SAST tools struggle with:
Organizations need security analysis that integrates seamlessly into DevSecOps workflows without sacrificing detection quality or requiring security expertise from every developer.
CAI provides an AI-powered security analysis framework that integrates directly into GitLab CI/CD pipelines. Key capabilities include:
The tool generates multi-format reports (GitLab JSON, HTML dashboards, detailed JSON) enabling both automated and human-driven security workflows.
The tool generates comprehensive HTML dashboards that provide both executive summaries and detailed vulnerability breakdowns. These dashboards enable security teams and developers to quickly understand the security posture of their applications.
The source code analysis module identifies vulnerabilities across multiple categories, providing detailed information about each issue type, affected files, and remediation recommendations. The analysis goes beyond simple pattern matching to understand code context and data flow.
