Aephix turns one flagged artifact into the wider operation behind it, with confidence and evidence. These are the jobs it is built for, before an attack reaches a build and after one is already in hand.
Every job ends at the same outcome. You start with one artifact and walk away with the operation behind it.
Check a flagged package against the wider operation behind it before it reaches a build, so one bad dependency does not pull in the rest.
Check a model file for the operation behind it before it runs in your pipeline, and whether it links to a campaign you have already seen.
See the operation behind an MCP server or skill before an agent trusts it, with its footprint across other marketplaces in the same answer.
Take a malicious package, model, skill, MCP server, extension, or container you already caught and get the rest of the operation it belongs to, with a confidence level and supporting evidence.
The Miasma campaign started as one hijacked package. Aephix traced it to 23 across npm, PyPI, RubyGems, and JFrog, linked to a single operation with supporting evidence on file.
The same answer for every job above, calibrated and explainable.
Aephix is in private beta. Sleuth is shown to design partners, and these are the workflows we are onboarding them into.