Traditional scanners (SAST, IAC, SCA) excel at finding known patterns or misconfigurations. Business Logic Security Analysis (BLSA) goes a step further, using AI agents to interpret your application’s overall architecture, highlighting insecure-by-design issues that can’t be detected by standard rule-based tools.

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Why BLSA?

  1. Contextual Understanding
    AI doesn’t just read lines of code—it understands how different parts interact, spotting vulnerabilities when business flows are implemented incorrectly (e.g., logic around payment processing or user account privileges).

  2. Agent-Based Analysis
    Each AI “agent” focuses on a segment of your code, forming an overall “mental model.” This is especially valuable for complex monoliths or microservices that standard scanners struggle to piece together.

  3. Split Prompting & Intelligent Correlation
    We split large codebases into chunks (split prompting) so our AI system can analyze the entire repository in detail, then reassemble findings into a single, cohesive report.

While BLSA is in development, we aim to release early previews to select users. Keep an eye on our Roadmap for updates!

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Potential Impact

  • Uncover Hidden Flaws: Identify logic breaks that hackers can exploit, such as bypassing payment checks or manipulating workflow states.
  • Reduce Manual Audits: BLSA can flag suspicious flows that might otherwise require specialized security consultants.
  • Enhance DevSecOps: Integrating BLSA results alongside SAST, IAC, and SCA ensures a complete coverage of technical and logical vulnerabilities.

Although we can’t share the complete technical architecture (to protect our IP), we’re excited to show practical demos once BLSA hits beta!