Leading AI companies continue to face significant cybersecurity challenges, particularly in protecting sensitive information, as highlighted in recent research from Wiz. The study focused on the Forbes top 50 AI firms, revealing that 65% of them were found to be leaking verified secrets—such as API keys, tokens, and credentials—on public GitHub repositories.
These leaks often occurred in places not easily accessible to standard security scanners, including deleted forks, developer repositories, and GitHub gists, indicating a deeper and more persistent problem than surface-level exposure. Wiz’s approach to uncovering these leaks involved a framework called “Depth, Perimeter, and Coverage.” Depth allowed researchers to look beyond just the main repositories, reaching into less visible parts of the codebase.
Perimeter expanded the search to contributors and organization members, recognizing that individuals could inadvertently upload company-related secrets to their own public spaces. Coverage ensured that new types of secrets, such as those used by AI-specific platforms like Tavily, Langchain, Cohere, and Pinecone, were included in the scan, which many traditional tools overlook.
This article has been indexed from CySecurity News – Latest Information Security and Hacking Incidents
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