Malware scanner API results: separate evidence from verdicts
Read analysis status, per-engine outcomes, and coverage gaps before turning a malware scanner report into an application decision.
The Scan Log / Reading thread
Threat detection
A detection signal is evidence with a scope, not a complete policy by itself. This collection connects prompt-injection review, antivirus integration, and malware-analysis interpretation.
Each article asks what the tool examined, which outcome it actually returned, and what the application should do next. A prompt warning, an engine detection, and an unsupported file are not equivalent results. Keeping them distinct helps reviewers apply the appropriate response without exaggerating certainty or overlooking incomplete inspection.
Begin with the guide closest to your input type, then compare its review path with the other workflows. Notice where deterministic permissions, private storage, or operational recovery provide protection independently of the detector. A useful detection program does not rely on an unexplained score alone; it preserves evidence, limits the consequences of missed cases, and assigns responsibility for uncertain outcomes.
AI LLM scanner APIs: a practical prompt-injection review workflow
Inspect untrusted content, evaluate tool requests, and test the boundaries that matter in a language-model application.
Antivirus scanner API design: build a dependable upload gate
Keep the engine private, the signatures observable, and incomplete inspection separate from a release decision.