claude-code - 💡(How to fix) Fix False-positive cyber-safeguard intervention on legitimate systems-engineering work in Claude Code

I'm filing this as a product-quality issue, not as a request to weaken safety.

Claude Code appears to be misclassifying legitimate low-level engineering work as policy-sensitive when sessions involve authorized inspection of software internals, binary formats, runtime behavior, compatibility boundaries, or toolchain-level diagnostics.

The failure mode is not always a clear refusal. More often, the agent becomes noticeably less reliable: tool calls are interrupted, responses become overly cautious, work is abandoned midstream, and ordinary debugging tasks degrade without a clear explanation to the user.

In some cases, the intervention is explicit:

"Claude Code is unable to respond to this request, which appears to violate our Usage Policy..."

In another case:

"Claude Code is unable to respond to this request, which appears to violate our Usage Policy. This request triggered cyber-related safeguards."

That framing is the problem. The surrounding work was not about credential theft, malware, evasion, persistence, unauthorized access, or harm against a third party. It was legitimate engineering work involving local software internals and technical analysis.

The issue appears to be that technical systems-engineering vocabulary is being treated as cyber-risk intent.

This matters because the same vocabulary appears constantly in normal engineering work: debuggers, profilers, observability agents, compiler and VM tooling, language interop layers, binary-format parsers, crash-analysis systems, game-engine tooling, performance instrumentation, and local developer diagnostics.

Engineers working in these areas naturally discuss program behavior, runtime state, symbols, memory layout, data formats, compatibility boundaries, and performance characteristics. Those concepts are not inherently malicious. They are ordinary parts of legitimate systems engineering.

The larger product issue is predictability. When a coding agent silently changes behavior in these contexts, the user cannot reliably tell whether the problem is:

1. a real policy boundary,
2. a model/tool failure,
3. a transient API issue,
4. a toolchain problem,
5. or a false positive from a safety classifier.

That ambiguity damages trust. Engineers need to know whether their agent failed because of their code, the model, the tool, the API, or an intervention layer.

The important distinction should be between technical capability vocabulary and harmful intent.

Authorized debugging, compatibility work, observability, runtime analysis, binary-format parsing, performance diagnostics, and local developer tooling should not be treated the same as requests involving unauthorized access, credential theft, stealth, persistence, evasion, malware deployment, or targeting third-party systems.

I would not want this failure mode to affect serious engineering teams evaluating Claude Code. For systems engineers, compiler engineers, infrastructure engineers, performance engineers, game developers, observability engineers, and teams building sophisticated developer tools, reliability and continuity are central to the product experience.

If legitimate systems work causes the agent to become less capable, less transparent, or less predictable because the vocabulary resembles cyber terminology, that is a product-quality problem.

I'm asking for better calibration around authorized systems-engineering workflows, fewer false positives, and clearer user-facing explanations when an intervention occurs.