The present invention relates to a method for automatic aggregating and enriching data from honeypots comprising defining a plurality of identified honeypots of a different type to be monitored in a network; collecting metadata and samples from said honeypots of a different type in said network, which in turn comprises defining a predefined collection model for the honeypots such as to collect homogeneous metadata and samples among the honeypots of a different type, extracting the metadata according to the collection model defining a model metadata, and extracting the samples according to the collection model defining model samples; enriching said metadata and sample collected, which in turn comprises scanning the model metadata to extract IoCs, scanning the model samples to extract IoCs, recursively scanning the model samples to generate secondary model metadata and scanning the secondary model metadata to extract IoCs, until no further IoCs can be generated, recursively obtaining secondary samples from the extracted IoCs and scanning the secondary model samples to extract IoCs, until no further secondary samples are obtained; and aggregating said metadata and samples collected and/or enriched, which in turn comprises aggregating metadata by a predefined metadata model aggregation and aggregating samples by a predefined samples model aggregation.