perseus-logic

Business logic vulnerabilities are identified through phase-driven analysis of your codebase, targeting race conditions, data flow issues, and workflow flaws in critical flows like payments and authentication. The analysis proceeds from reconnaissance to remediation with concrete code-level recommendations.

Detecting race conditions in multi-language web applications requires phase-driven security analysis of critical transaction flows, such as inventory and payments, to identify concurrency flaws. The skill analyzes data flow across different code stacks to surface race conditions that automated scanners miss.

AI security risks are analyzed by evaluating prompt injection and LLM workflow vulnerabilities within AI-enabled features in your codebase. The assessment identifies prompt risks and data flow issues, providing actionable remediation guidance with concrete safe alternatives and code examples.

You can validate secure business logic during security reviews by running this analysis after initial reconnaissance to surface race conditions, AI risks, and workflow vulnerabilities. It generates formal security-analysis deliverables that integrate directly into your existing security review process.

This business logic analysis applies across multi-language web applications, examining critical flows like authentication, payments, and inventory without requiring specific dependencies. It analyzes codebases regardless of the underlying language stack to identify data flow issues and race conditions.

Automated security scanners miss business logic flaws because they cannot understand the contextual workflow and state dependencies of critical flows like payments and inventory. This skill performs defensive analysis of business logic and race conditions by tracing data flow and providing code-level remediation guidance.