Haicker is a code security scanner that uses AI agents to identify vulnerabilities in application code and assist developers with remediation. The platform employs a hybrid approach that combines static and dynamic analysis techniques to detect security issues, similar to how a human penetration tester would operate. The company addresses limitations in traditional security scanning tools by using AI models for enhanced context comprehension and vulnerability detection. Unlike conventional SAST tools that rely solely on static analysis, or DAST tools that operate without code access, Haicker leverages direct access to source code while performing dynamic testing to validate findings. This approach enables the platform to identify business logic bugs and other vulnerabilities that traditional scanners often miss. Haicker's validation process tests every reported vulnerability to reduce false positives, a common issue with AI-powered static analysis tools. The platform condenses findings into actionable reports with remediation guidance to help development teams address security issues efficiently. According to the company's benchmarking data, their system achieves an 88.4% detection rate on the XBOW Validation Benchmark. The platform is delivered as a web application security scanner designed for software engineering teams. Key capabilities include AI-powered vulnerability detection, context-aware analysis, vulnerability validation, and remediation guidance. The company was founded by security professionals with backgrounds in bug hunting, security auditing, and competitive hacking.