AI-assisted development has reduced the cost of writing code. It has not reduced the cost of understanding whether that code is secure. In many current workflows: code is generated quickly (often with AI) functionality is validated deployment follows shortly after Security analysis is either delayed or shallow. The issue is not the absence of tools. It is the absence of continuous, context-aware analysis. Most security checks today fall into two categories: Static scanners → detect known patterns, limited context Manual review → high quality, not scalable Neither integrates well with fast, iterative development. vulnerabilities remain undetected in early stages configuration risks are overlooked compliance is treated as a separate, later concern Approach Cybeetle is built as a lightweight layer that runs alongside development and provides: code-level analysis system-level context basic alignment with common security frameworks The goal is not to replace security teams, but to: reduce the gap between writing code and understanding its security implications. What the System Does Code-Level Analysis scans repositories for common insecure patterns flags issues such as injection risks and unsafe dependencies This is similar to existing tools, but serves as the entry point. Context Awareness evaluates how components interact identifies risky integrations or configurations This moves beyond isolated file-level checks. Compliance Mapping connects findings to: NIST CSF ISO 27001 SOC 2 This does not establish compliance. It provides traceability between technical issues and control areas. Basic Risk Interpretation explains why a finding matters suggests possible fixes helps prioritize issues The emphasis is on clarity rather than exhaustive analysis. Cybeetle is designed with a few constraints in mind: it should not slow down development it should produce understandable outputs it should work with existing workflows This leads to a focus on: incremental analysis rather than heavy audits guidance rather than enforcement Current State The system is live and being used to: scan real codebases test detection quality refine output clarity It is still early-stage, with limitations in depth and coverage. Planned improvements include: better modeling of system interactions integration with runtime and cloud data more consistent prioritization of findings Summary There is a growing mismatch between how quickly software is produced and how thoroughly it is evaluated for security. Cybeetle is an attempt to address a small part of that mismatch by: embedding lightweight analysis into development providing context around findings making security feedback more accessible It is not a complete solution, but a step toward making security more continuous and less isolated. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to ? It will become hidden in your post, but will still be visible via the comment's permalink. as well , this person and/or