RECOOMNI grows out of more than a decade of research and production cybersecurity. Across complex systems, one constraint keeps resurfacing: even sophisticated detection and automation depend on the evidence and assumptions they start with.
The work behind RECOOMNI spans leading data science for a web application firewall, technical ownership of a vulnerability scanner, security analytics and offensive automation. Different responsibilities, a common lesson: the quality of the context matters as much as the capability of the tool.
External assets, identities, ownership clues and scanner results are too often treated as disconnected pieces of evidence. When that context is missing, automation does not eliminate uncertainty. It can simply reproduce it at greater speed.
RECOOMNI is being developed around pre-scan intelligence: linking public evidence, external asset discovery, attribution and technical context into more deliberate, scanner-ready recommendations. The aim is not another scanner. It is a more informed starting point for the tools already doing the work.
RECOOMNI is in development. Research notes, engineering decisions and release updates will be shared as the system takes shape — a project of marcoderspace™ studio.