An incident happened. Your logs show requests. Your WAF shows blocks. But you don't know who the actor was, where else they've been, or whether the behavior you're seeing matches a known pattern.
We maintain a base of characterized bot profiles with behavioral patterns. We compare what's hitting your site against actors we've already seen — and tell you if we've seen them before and what they did.
Most forensic analysis starts and ends with your logs. We start with your logs and compare against behavioral profiles we've already characterized. If the actor that hit your site matches a pattern we've seen before, you'll know — what it did, how it behaved, and whether it changed identity between visits. Your logs tell you what happened. Our actor base tells you who it was.
A regulator asks what happened. You need evidence that's signed, timestamped, and defensible — not a summary written after the fact.
A claim comes in. Was the attack automated? Was it targeted? Is the behavioral pattern consistent with the claimed incident? Independent verification changes the conversation.
Litigation requires evidence. Behavioral forensic records — cryptographically signed, with cross-actor attribution — provide a foundation that log exports can't.
Public incidents where post-incident behavioral evidence was missing or incomplete.
We don't recover data. We don't provide endpoint forensics. We don't replace Mandiant or CrowdStrike for enterprise-wide incident response.
We do one thing: behavioral forensics for automated actors — bots, agents, scrapers, crawlers. Faster, cheaper, more specific than general-purpose IR. Behavioral pattern matching against a characterized actor base.
Initial assessment in 48–72 hours. Cross-actor correlation. Signed evidence.
Request analysis