Capability · DSPM

Data Security Posture Management

Find sensitive data in your cloud storage without downloading it, and see who can reach it on the graph.

Byte-range samples from cloud buckets are classified and masked; a bucket with personal data is linked to the identities that can reach it
How it works

From bucket to the data that matters

Deep sampling reads small parts of each object, classifies what it finds and stores only masked values.

01

Sample, don't download

Objects in AWS S3, Huawei Cloud OBS, GCP Cloud Storage, Azure Blob and OCI Object Storage are read in small byte ranges instead of full downloads.

02

Recognise the format

The file type is detected from its first bytes, so compressed files, Parquet, Avro, CSV, JSON and database dumps are read correctly.

03

Classify with validation

CPF, CNPJ, payment cards, IBAN, ABA routing numbers, Pix keys and e-mail addresses are confirmed with their check-digit algorithms, not just patterns.

04

Connect to the graph

Each bucket with sensitive data joins the Hyper-Graph, so exfiltration paths to it appear in attack-path analysis.

Why Arkhein DSPM

Know your data without copying it

Zero plaintext

Only masked values and hashes are stored, so the finding never becomes a second copy of the data.

Built for Brazilian data

CPF, CNPJ and Pix are first-class, alongside international formats such as IBAN and payment cards.

Who can reach it

A bucket with personal data is judged by the identities and paths that reach it, not just by what it contains.

Limits: sampling inspects parts of each object; results describe what was sampled.

Regulated Data Proof

Go further and prove whether anyone outside the allowed boundary can reach regulated data, and by which path.

Explore Proof Engine
DSPM FAQ

Answers about DSPM

No. It reads small byte ranges of each object to classify it, which keeps transfer cost and load on your storage low.

AWS S3, Huawei Cloud OBS, GCP Cloud Storage, Azure Blob Storage and OCI Object Storage.

No. Only masked values and hashes are stored.

Identifiers with check digits, such as CPF, CNPJ, IBAN and payment cards, are validated with their algorithms, and nearby context raises or lowers confidence.

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