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Getting new security data ready for analysis shouldn't take weeks of engineering work. Anvilogic automatically parses, normalizes, and enriches raw data into the schema of your choice, so it's ready for search, detection, and investigation in minutes.
Getting new data into your SOC shouldn't require weeks of engineering work. Anvilogic automatically builds the ingestion, parsing, normalization, and enrichment pipeline, making new data ready for search, detection, and investigation in minutes. From raw data to security-ready data, automatically.
Not every dataset needs a dedicated pipeline. Anvilogic standardizes data as you search it, transforming raw events into the schema of your choice without moving the data or maintaining another ETL pipeline.Keep your data where it is. Get the structure you need when you search.
Bring alerts from every security tool into one unified view. Anvilogic automatically parses, normalizes, and enriches vendor alerts, making them immediately searchable, correlated, and ready for investigation. Spend less time reconciling formats and more time understanding the attack.
A broken pipeline creates blind spots in your SOC. Anvilogic continuously monitors data pipelines and vendor alert integrations, alerting you the moment data stops flowing, parsing fails, or schema changes put detection coverage at risk. Find the problem before it becomes a missed detection.
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The impacts that AI makes across the detection lifecycle, from tuning, to reducing false positives in alert monitoring, to leveraging a cost-effective lakehouse, fundamentally transform the detection engineering process.
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By using a detection engineering platform on top of our data lake, we are able to achieve some significant efficiencies in our overall SOC and IR operations, which can equate to cost savings of close to 70–80%.
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Anvilogic is the perfect solution because it doesn't depend on any specific underlying data lake or SIEM solution. It isolates and abstracts the layer of data storage down to the schema, so we don't have to worry about making a big decision for the underlying storage solution. Instead, we have the flexibility to plan for the future.
