Every file knows what it is.
AI-native labels applied in real time — at creation, in motion, and at rest — with confidence scores you can defend in an audit.
Card on file: 4111 •••• •••• 4432 exp 09/28
One label language, everywhere.
Six classifier families feed one taxonomy — the same label means the same thing in Discovery, DLP, and your audit pack.
Universal classifiers
Personal, financial, health, credentials, IP — validated with checksums and context, not bare regex.
Regional data packs
GDPR, DPDP, HIPAA, PCI — national IDs and financial formats global tools don't ship.
Your rules & taxonomies
Project codenames, customer tiers, deal stages — described in plain English, drafted by Argus.
Purview & MIP labels
Existing Microsoft labels read as signals and written back — no rip-and-replace.
Code & secrets
API keys, tokens, connection strings, proprietary source — recognized in repos and pastes.
Images & scans
OCR on screenshots, IDs, and scanned forms — sensitive pixels classified like text.
Labels you can bet a policy on.
Four things Argus classification does that pattern-matching never will.
Labeled the moment it exists.
Files are classified at creation, on edit, and in motion — not in a nightly batch. The label travels with the file into every copy, export, and share.
It reads the room, not just the digits.
A 16-digit number in a test fixture isn't a card. The same number beside names and emails in a customer export is. Argus weighs surroundings, source, and validity — so the label is right before policy acts on it.
Every label shows its work.
A score without reasons is a guess. Each label carries the signals that produced it — so auditors, DPOs, and skeptical engineers can check the math.
A label is a decision, not a sticker.
Classification isn't a report to file away — it's the signal DLP, Discovery, and compliance act on. Change the label and every enforcement point updates instantly.
Labeled. Now make it enforceable.
Labels feed straight into DLP policies — no mapping tables, no sync jobs, no second taxonomy.