DSPM With Code-Level Lineage.
Most DSPM stops at the bucket boundary. Safeguard traces the data — through every function, queue, and store it visits — from the API endpoint that ingested it to the cold-storage row that retains it. Function-level lineage with GDPR / DPDP-grade classification.
Knowing The Bucket Is PII Doesn't Tell You Who Wrote It.
Classifier-only DSPM finds the sensitive data. It does not tell you which API endpoint produced it, which transform mutated it, which queue staged it, or which downstream service still has a stale copy.
When a regulator asks "how does an Indian customer's phone number reach your analytics warehouse" the answer cannot be "we believe via the ingestion pipeline". It must be a function-by-function trace.
That trace requires joining cloud-side data discovery with the deployed call graph — which is what Safeguard already maintains for vulnerability reachability. The same machinery applied to data is DSPM that lawyers can use.
Storage-Only Discovery Misses Transit
Classifiers that scan tables and buckets see data at rest. They miss data that flows through a transform service and is dropped — but only after being logged to a third-party SDK.
Lineage Is The Hard Part
Cataloguing where data lives is solved. Cataloguing the deployed code that put it there, mutated it, and forwarded it on is where every legacy DSPM ends.
Shadow Stores Multiply
Engineers create scratch tables, debug dumps, and analytics extracts daily. Without function-level provenance these are invisible until someone notices the bucket name.
Regulator Asks Are Function-Specific
GDPR Art. 30 and the DPDP fiduciary register both require purpose-of-processing per data category. That maps to functions, not tables.
Discovery, Classification, Lineage, And Policy.
Cross-Cloud Data Discovery
The scanner-suite enumerates managed databases, object stores, message queues, and warehouse tables across AWS / Azure / GCP. Sampling reads classify content in place — no copy is ever made.
GDPR · DPDP · HIPAA Classifiers
47 built-in classifiers map fields to regulator-defined categories (e.g., DPDP Sensitive Personal Data, GDPR Special Category) with the confidence band attached.
Function-Level Lineage
The SCA call graph + IaC plan are joined to the data catalog. Every sensitive field traces back to the handler that wrote it and forward to every consumer that reads it.
Purpose-Of-Processing Register
The Article 30 / DPDP fiduciary register is built from the lineage automatically. Updates land as PRs in your policy repo, not as ad-hoc spreadsheet edits.
From Endpoint To Storage, Every Hop Logged.
Read-only credentials pull schemas and sample rows from every managed data store across the connected clouds.
47 classifiers — name, email, Aadhaar-like patterns, payment instrument hints — tag each column with category and confidence.
The SCA engine matches every classified field to the handlers, transforms, and consumers in the deployed call graph.
Each ingestion endpoint gets a function-level lineage tree showing where the field is read, mutated, forwarded, or deleted.
Tenant-defined rules (e.g., "no DPDP Sensitive Personal Data leaves region IN") evaluate against the lineage; violations open PRs or block deploys.
The Article 30 / DPDP register exports as a signed PDF + JSON, regenerated on every code change so it never goes stale.
Outcomes That Land In Quarter One.
Regulator-Grade Lineage
Drift Closes In Git
Cross-Border Controls Hold
Pair with comply-with-global-regulations and sovereign for residency enforcement, and SBOM Studio to fold data lineage into the artefact graph.
See The Path Your Data Actually Takes.
Bring one cloud account and one repo. We'll produce a function-level lineage tree for the top three PII fields in under an hour.