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Your LLM App Is Wasting Money: What Happens When Users Close the Tab?

You build an AI chat application. A user sends: "Explain how distributed systems work." Your server calls an LLM API and starts streaming the answer: LLM │ ├── "Distributed" ├── "systems" ├── "are"…

  • LLM requests continue after tab closure if server doesn't cancel
  • Leads to incorrect results and increased costs from unused tokens
  • Article provides cancellation path for TypeScript LLM server

Where the LLM Stops: Deterministic Scoring in an AI-Assisted VAPT Pipeline

Every VAPT report ends the same way: a handful of numbers. A CVSS score. A severity label. A priority rank. Sometimes an aggregate risk score.

  • ONUS, open-source DAST platform, ensures deterministic scoring in AI-assisted VAPT pipeline
  • CVSS scores, vectors, severity levels, and priority ranks derived from deterministic formula
  • ONUS test suite validates CVSS scoring formula against known vectors for reproducibility

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