Unverified50% confidenceFactExact time
Valuable logic vulnerabilities, unauthorized access, and business flaws often require researchers to have an in-depth understanding of the target business, necessitating manual analysis and creative thinking, while automated scanners can only detect some low-severity, generic issues.
1
Sources
50%
Confidence
Long-term
Relevance
8/19/2026
First Seen
Sources
AI自动挖漏洞真能躺赚?理性看待SRC白帽挖洞的真相
Related Claims
UnverifiedIdentifying test coverage gaps requires engineers to simultaneously understand business intent, technical implementation, and user behavior patterns, making it high-value work that AI currently cannot complete independently.76% similarUnverifiedThe ability to discover unknown defects through intuition, business experience, and creativity—represented by exploratory testing—remains a core competency that AI currently cannot replace.72% similarUnverified专家在处理领域内问题时更多依赖直觉性的模式识别而非显式推理,导致其言传与初学者需要的手把手之间存在结构性鸿沟71% similarUnverified企业级落地中工作流的健壮性设计(错误重试、异常兜底、人工介入节点)往往比功能实现本身更为关键70% similarUnverifiedThe core challenge of reinforcement learning lies in the exploration-exploitation tradeoff, where agents need to find a balance between exploiting known effective strategies and exploring unknown possibilities.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/775817API
curl https://kongchang.com/api/v1/knowledge/claims/775817MCP
get_claim(id=775817)