Multi-agent architecture combining AST parsing, static analysis, taint tracking, and AI-driven semantic review for comprehensive security analysis
View Agentic FlowchartSpecialized AI agents collaborating to detect vulnerabilities with unprecedented accuracy
Intelligently scans and filters code repositories, identifying target files and ignoring irrelevant dependencies.
Deep structural code analysis using Abstract Syntax Trees to identify security vulnerabilities with surgical precision.
Integrates Bandit static analysis engine to detect known security vulnerabilities and compliance issues.
Advanced data flow tracking to identify injection vulnerabilities and unsafe data propagation.
Validates findings across multiple analysis methods, eliminates false positives, and increases confidence scores.
Google Gemini-powered analysis for business logic flaws and context-aware security recommendations.
Synthesizes all findings into comprehensive reports with severity ratings and remediation guidance.
Visualizing how specialized agents collaborate to deliver comprehensive code security analysis
Scans repository, identifies target files
Deep structural analysis
Static security scanning
Data flow analysis
Correlates findings, eliminates false positives
Context-aware business logic analysis
Creates comprehensive security report
Specialized capabilities enabled by our multi-agent architecture
Specialized agents collaborate seamlessly, each focusing on specific vulnerability types while sharing findings for comprehensive coverage.
Analysis agents work concurrently on different aspects of code security, dramatically reducing review time.
Findings are validated across multiple analysis methods, significantly reducing false positives and increasing confidence.
Gemini agent provides human-like understanding of business logic flaws that traditional tools miss.
Agents learn from each analysis cycle, continuously improving detection accuracy and efficiency.
Combines multiple security approaches to cover vulnerabilities from syntax level to business logic.