An analysis of Anthropic's vulnerability disclosure dashboard reveals significant discrepancies between reported fixed findings and the actual numbers logged across various ledgers. The author questions whether AI assistance in reviewing these findings has led to under-reporting or inaccuracies, noting that the ledger's update frequency and reveal dates do not always align with the data presented. Despite these inconsistencies, the author acknowledges the value of AI tools like Claude in accelerating bug and vulnerability discovery in software. AI
IMPACT Highlights potential issues with AI-assisted vulnerability reporting and the need for robust human review.
RANK_REASON Analysis of a company's public data with discrepancies, questioning their reporting methods.
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