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20/08/2026 5:24 pm
TL;DR: Compressed files are often where cloud data security breaks down, because ZIPs, TAR.GZs, password-protected archives, and nested packages can hide PII, credentials, backups, and other sensitive data that legacy scanners miss, according to Sentra. The core issue is not file format complexity alone but the governance gap created when organisations assume archive contents are already covered by existing discovery and classification controls.
NHIMG editorial — based on content published by Sentra: Archive scanning for cloud data security
Questions worth separating out
Q: What breaks when archive files are not scanned in cloud data security programs?
A: Sensitive data can hide inside nested or encrypted containers and never reach the classification engine, so discovery reports look complete when they are not.
Q: Why do compressed files create risk in cloud storage and artifact repositories?
A: Because they collapse many files into one object, which makes it easy to bury secrets, regulated data, and stale backups inside a container that scanning tools may treat as opaque.
Q: How do security teams know whether structured file scanning is actually working?
A: They should measure how many SQLite files and SQL dumps are discovered, how many are classified with table and column context, and how many are remediated or deleted within a governed lifecycle.
Practitioner guidance
- Inventory archive-bearing storage locations Map where ZIP, TAR.GZ, RAR, 7Z, DEB, and backup archives live across object storage, repositories, and shared drives, then assign them to the same discovery policy as ordinary files.
- Require recursive inspection for nested containers Validate that your scanning pipeline re-processes inner files through the same classification engine rather than stopping at the outer archive layer.
- Escalate encrypted archives as high-risk objects Surface encrypted archives with location, size, and owner metadata so security and data governance teams can review them without trying to decrypt them automatically.
What's in the full article
Sentra's full blog post covers the operational detail this post intentionally leaves for the source:
- Format-by-format archive handling across ZIP, RAR, 7Z, TAR.GZ, GZIP, BZ2, XZ, LZ4, ZLIB, and DEB
- The composite reader workflow that re-processes inner files until no additional archive layers remain
- Encryption-detection logic that surfaces encrypted archives without attempting decryption
- In-memory processing design details that avoid temporary extraction copies on disk
👉 Read Sentra's analysis of archive scanning for cloud data security →
Archive scanning for cloud data security: what teams are missing?
Explore further
20/08/2026 6:14 pm
Archive blindness is a data governance failure, not just a scanning limitation. When compressed files are excluded from inspection, organisations create a blind spot where regulated records, secrets, and backups can persist outside normal review cycles. That weakens cloud data security, but it also undermines identity and access governance when the hidden content includes credentials or configuration files. The practical conclusion is simple: if your discovery engine cannot open the container, you do not have complete visibility.
A question worth separating out:
Q: Should organisations treat encrypted archives as acceptable blind spots?
A: No. Encrypted archives should be treated as high-risk objects that require metadata visibility, ownership review, and governance, even if the contents remain unreadable. If a team cannot inspect the payload, it should at least be able to account for the container and decide whether it belongs in restricted handling or investigation.
👉 Read our full editorial: Archive scanning is becoming essential for cloud data security
