Field and Entity Discovery Use Case
Know Your Data in Minutes, Not Months
Every SIEM deployment starts the same way: weeks of professional services mapping fields, normalizing schemas, defining entities. Before a single detection fires, you've spent months and thousands of dollars just teaching the tool what your data looks like.
And it's never done. Every new log source restarts the process. Schema changes break what you already built. The mapping spreadsheet becomes a full-time job.
How spotr.io does it:
spotr.io's Discovery Agent uses AI-powered entity recognition to understand your data by reading it — not by reading field names. It doesn't care whether your firewall calls it src_ip, your cloud provider calls it source_address, or your EDR calls it SrcAddr. It looks at the values and knows what they are.
• Send your data raw — no schema mapping, no normalization, no field definitions
• Fields classified automatically — AI reads values, not names. Vendor-agnostic from day one
• Entities discovered in real time — IPs, users, hosts, services identified by analyzing the data itself
• Attack surface mapped continuously — a living picture of your environment that updates as your data changes
• New log source? — discovery runs automatically. Zero-touch. No PS call required
The Conversation
"How long before your SIEM was actually useful after you bought it?"
"What used to take months of professional services — understanding your data, mapping your environment — our Discovery Agent does in minutes. Automatically."