Zeno

Application Security Testing (SAST/DAST)

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This safety layer reviews and evaluates AI-generated code changes within development workflows to ensure security, correctness, and reliability, preventing risky modifications from reaching production. Its key features include risk assessment of code diffs, verification of missing safety checks, detection of silent failures, and recommendations for minimal safe updates, making it suitable for software engineering teams, DevOps professionals, and AI developers who work with automated coding agents. It addresses challenges related to ownership drift, false test confidence, and review overload caused by rapid AI code generation, enabling teams to maintain control, ensure code stability, and reduce deployment risks in complex AI-assisted development environments.

Zeno can be found in Application Security Testing (SAST/DAST) categories.

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Zeno Main Features

• Diff-Aware
  It reviews the actual changes made to ensure only safe and intended updates are accepted.
• Risk Review
  It looks for risky parts, missing checks, and unnecessary changes in the code.
• Safety Layer
  Zeno reviews AI code changes to check for risks and important issues before they are merged.
• Agent-Agnostic
  Works with any AI tools or scripts that change code, not just one specific system.
• Pre-merge Checks
  Zeno helps add validation and tests to make the code safer before accepting it.
• Ownership Clarity
  It prevents confusion about who owns which part of large AI-generated files.
• Overload Prevention
  Zeno helps manage the large number of code diffs created by AI so humans can review safely.
• Post-Agent Judgment
  It acts as a decision helper, not a code writer, to identify safe next steps and risky changes.
• False Test Confidence Warning
  It warns if tests only show new code works but don’t verify old behavior, reducing false safety feelings.
• Silent Behavior Change Detection
  Zeno detects changes that might affect how features like payments or emails work without obvious signals.

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