blog.phylum.io/author-risk-bad-actors-in-github
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Detecting Potential Bad Actors in GitHub
Phylum is continually working to improve our author risk analysis to allow users to manage the risk presented by using code written by random strangers on the Internet. The work documented here provides valuable evidence as input into Phylum’s author risk score. This is combined with other analytics, heuristics, and models to continually protect Phylum’s users.
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Detecting Potential Bad Actors in GitHub
Phylum is continually working to improve our author risk analysis to allow users to manage the risk presented by using code written by random strangers on the Internet. The work documented here provides valuable evidence as input into Phylum’s author risk score. This is combined with other analytics, heuristics, and models to continually protect Phylum’s users.
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https://blog.phylum.io/author-risk-bad-actors-in-githubDetecting Potential Bad Actors in GitHub
Phylum is continually working to improve our author risk analysis to allow users to manage the risk presented by using code written by random strangers on the Internet. The work documented here provides valuable evidence as input into Phylum’s author risk score. This is combined with other analytics, heuristics, and models to continually protect Phylum’s users.
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10- titleDetecting Potential Bad Actors in GitHub
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- descriptionPhylum is continually working to improve our author risk analysis to allow users to manage the risk presented by using code written by random strangers on the Internet. The work documented here provides valuable evidence as input into Phylum’s author risk score. This is combined with other analytics, heuristics, and models to continually protect Phylum’s users.
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8- og:site_namePhylum Research | Software Supply Chain Security
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- og:titleDetecting Potential Bad Actors in GitHub
- og:descriptionPhylum is continually working to improve our author risk analysis to allow users to manage the risk presented by using code written by random strangers on the Internet. The work documented here provides valuable evidence as input into Phylum’s author risk score. This is combined with other analytics, heuristics, and models to continually protect Phylum’s users.
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- twitter:titleDetecting Potential Bad Actors in GitHub
- twitter:descriptionPhylum is continually working to improve our author risk analysis to allow users to manage the risk presented by using code written by random strangers on the Internet. The work documented here provides valuable evidence as input into Phylum’s author risk score. This is combined with other analytics, heuristics, and models to continually protect Phylum’s users.
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