INVSBL turns scattered enterprise data into a live sensitivity map — replacing alert triage with a small number of pre-investigated, meaningful events.
Three products. One platform. For teams that need to understand their data before they try to protect it.
Understand your data before you try to protect it.
Athena maps enterprise data and classifies it by your organization’s taxonomy — not ours. The result is a live sensitivity map that shows what exists, how it groups together, and who touches it. That map becomes the foundation every downstream decision runs on.
See how sensitive data actually moves — across every tool your people use.
Argus provides endpoint-level visibility into how data moves day to day — what leaves through email, uploads, GenAI tools, messaging, and shared drives. It builds behavioral context for every user and business unit, so risky egress surfaces in real time, before loss is the first signal.
Precision enforcement, shaped by context.
Legacy DLP applies the same response to every matching signal — block, alert, repeat — and drowns teams in noise. Aegis reads context: the user, the data, the destination, the history. Same signal, different situation, different decision. You get a handful of high-confidence calls instead of an alert backlog.
"Most data security programs are defined by constant tuning and alert triage. We replace that with a small number of pre-investigated, meaningful events."
Most companies can’t answer this clearly. Sensitive information is scattered across business units, applications, and shared drives — described by taxonomies that drift and tooling that wasn’t built for the way modern teams actually work.
Generic classifiers don’t understand your business. A document that’s ‘PII’ to one team is ‘privileged’ to another. Without organization-specific context, classification becomes noise — and noise gets ignored.
Security teams see thousands of risky-looking signals every day. Most aren’t. The ones that are get buried in triage. The gap between alert and incident is where real data loss actually happens.