[Feature Request] Improve security research context recognition to differentiate authorized penetration testing from malicious intent

Bug Description
I’m writing to report an issue I’ve been encountering with Claude Ops 4.6 incorrectly flagging legitimate security testing and research activities as policy violations.

I am a security engineer conducting authorized penetration testing and code review within clearly defined bug bounty scopes. In multiple instances, I have:

Provided explicit authorization context (including scope details from the bug bounty program)
Clearly stated that the activity is part of a legal and approved security assessment
Performed analysis in controlled, local environments for defensive and research purposes

Despite this, Claude frequently flags or blocks requests that involve:

Vulnerability discovery workflows (e.g., identifying misconfigurations, injection points)
Security-focused code reviews
CTF-style prompts used for skill validation and training

This creates friction in legitimate security workflows, especially when the intent is clearly defensive and aligned with industry practices. It also limits the usefulness of Claude as a tool for security professionals who rely on AI assistance for analysis, documentation, and learning.

I understand and respect the importance of enforcing safety policies. However, the current behavior appears overly restrictive and does not sufficiently differentiate between malicious intent and authorized security research.

Suggested Improvements:

Better recognition of explicit authorization context (e.g., “bug bounty,” “authorized testing,” “local environment”)
Allowlisting or relaxed handling for clearly defensive/security research use cases
A structured way to declare and persist “authorized testing mode” within a session
More transparent feedback on why specific prompts are flagged

If helpful, I’m happy to provide anonymized examples of prompts and responses that were incorrectly flagged.

Thank you for your work on building safe AI systems, and I hope this feedback helps improve the experience for security professionals using Claude.

Environment Info

• Platform: darwin
• Terminal: iTerm.app
• Version: 2.1.87
• Feedback ID: 81c24e75-47c4-4118-885e-470bee156aaf