Lps on Philterd — Zero-Trust PII Redaction for Cloud and AI

HIPAA-Ready PII & PHI Redaction That Runs Inside Your Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Your current pipeline: where PHI flows, what’s already redacted, what’s been deferred.
HIPAA Safe Harbor coverage: a real gap analysis against all 18 identifiers, not a generic checklist.
Deployment shape: VPC architecture, BAA implications, integration points (HL7, FHIR, CSV exports, S3, Kafka).
Cost picture: per-instance economics vs. per-character SaaS APIs at your actual volume. Most teams cross the break-even sooner than they expect.
A concrete next step: marketplace deploy, embedded engineering, or a no-go - whichever fits.

No NDA needed for the conversation. We won’t ask you to send sample data - we’ll walk you through how Philter would handle the patterns you describe.

Mon, 01 Jan 0001 00:00:00 +0000

Where the PII actually flows: prompts, retrieval context, tool calls, logs, vector stores, training data - we’ll map your real surface, not a generic diagram.
The hosted-LLM BAA / DPA chain: which providers have which agreements, what they cover, what they don’t, and where the residual risk sits.
Proxy vs. inline integration: which fits your existing AI architecture cleanest, and the trade-offs.
Reversible-vs-irreversible redaction: when to use which, and how to keep the user-facing output natural without leaking on the LLM side.
A concrete next step: one of three concrete patterns to ship, in priority order.

No code review or sample data needed for the conversation - just an architecture sketch and an honest take on your timeline.

Mon, 01 Jan 0001 00:00:00 +0000

Your current stack: where PII lives, what you’ve already tried, where the gaps are.
The right deployment shape: marketplace, container, on-prem, air-gapped - with the trade-offs.
Comparison against what you’re evaluating: AWS Comprehend, Google DLP, Presidio, Private AI - an honest read of where each one fits and where Philter wins.
Cost picture: per-instance economics for your real volume, not a generic estimate.
A concrete next step: marketplace deploy, embedded engineering, or a no-go.

The call isn’t a demo. It’s a working session.