AI-native log intelligence that redacts PII before it ever hits disk

Osmium sits in your log pipeline and strips sensitive data in real time — no rewritten regex libraries, no post-processing jobs, no compliance fire drills after the leak.

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The blind spot

Emails, phone numbers, tokens and customer IDs leak into logs constantly — nobody wrote a regex for last sprint’s new field.

The workaround tax

Regex filters are brittle and break under load — over-redact and lose debug value, or under-redact and leak PII.

The audit risk

Most teams can’t answer “where does our PII go” — post-hoc redaction doesn’t cover what’s already been queried or exported.

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Redaction at the edge, not as an afterthought

Inline, not batch Redaction happens in-flight — nothing sensitive reaches your aggregator, SIEM, or cold storage. Model-based detection Catches PII that regex misses — contextual entities, malformed formats, non-English identifiers. Reversible tokenization Authorized roles can de-tokenize specific fields with full audit trail — raw PII is never stored in plaintext.

Deploy in an afternoon, not a quarter

1:Connect
Drop the filter into your Fluent Bit / Vector / Fluentd config, no pipeline redesign.

2:Classify

Osmium scans sample traffic and shows exactly what PII is present and where.

3:Redactz
Enable inline redaction per source, per field, or per pipeline — mask, hash, or tokenize.

4:Verify
Continuous scanning confirms nothing sensitive escapes, with audit-ready reports.

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Sub-millisecond inline processing, minimal RSS/CPU overhead

Multi-shipper support: Fluent Bit, Fluentd, Vector, Logstash

Field-level policy control per source and environment

Audit trail & compliance reports for SOC2/GDPR/DPDP

De-tokenization with RBAC, fully logge

Zero plaintext PII at rest, enforced at the source

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