TL;DR: Locating shared files in Google Drive is a data security and compliance problem, not just a housekeeping task, because externally visible content can expose sensitive information, create audit gaps, and complicate access review, according to Strac. The operational issue is governance at scale: teams need discovery, permission control, and automated reporting before sharing becomes a persistent blind spot.
At a glance
What this is: This guide explains how to find shared files in Google Drive and shows that the real risk is uncontrolled external visibility across a large SaaS file estate.
Why it matters: It matters to IAM and data security teams because shared-file discovery is a practical access-governance control that affects compliance, exposure reduction, and audit readiness.
👉 Read Strac's guide on finding shared files in Google Drive
Context
Shared-file discovery in SaaS is a governance problem because access can expand quietly through user sharing, team sharing, and organisation-wide permissions. In Google Drive, the security question is not only where files live, but who can still reach them after they have been shared. For identity and data governance teams, this is a visibility issue that sits at the boundary of access control and data protection.
The article focuses on two operational approaches: using a security platform to detect and remediate public or external sharing, and using the Google Drive API to automate reporting at scale. That combination is typical of modern SaaS governance programmes, where manual review is too slow and access drift is already baked into collaboration workflows.
Key questions
Q: How should security teams find sensitive files across Google Drive at scale?
A: Security teams should use continuous scanning, content classification, and permissions review instead of relying on keyword searches or user self-reporting. The important step is to connect file discovery with ownership, sharing state, and remediation so that exposed content can be contained as soon as it is identified.
Q: Why do shared Google Drive files create compliance risk?
A: Because the problem is not only whether a file exists, but whether its permissions make sensitive content visible to people who should not have it. That creates audit gaps, data exposure risk, and evidence problems for regulations that require controlled access and demonstrable oversight.
Q: What breaks when shared-file access is reviewed only manually?
A: Manual review usually misses scale, timing, and permission inheritance. Files can be shared, reshared, or left exposed long after the original business need has passed, so the organisation ends up with stale access and incomplete records of who could see what.
Q: How do organisations know if shared-file governance is working?
A: Look for declining counts of public links, faster remediation of exceptions, and clean audit trails for owner, viewer, and editor access. If risky sharing keeps reappearing in the same teams or file types, the governance process is not actually controlling exposure.
Technical breakdown
How Google Drive sharing creates exposure paths
Google Drive sharing can be assigned at the file, folder, team, or organisation level, which makes effective access control depend on inherited permissions as much as direct grants. The main risk is that files can move from intended collaboration into broader visibility through link sharing, public sharing, or stale editor and viewer access. In practice, the challenge is less about storage and more about continuously knowing who can access what, especially when permissions change faster than review cycles.
Practical implication: build continuous visibility into shared-file permissions rather than relying on periodic manual audits.
Why API-based discovery scales better than manual review
The Google Drive API allows organisations to query file visibility, owners, viewers, and editors programmatically, which turns ad hoc review into repeatable reporting. This matters when file counts are large or when teams need daily or weekly checks for publicly exposed content. API-driven discovery also creates a better foundation for evidence collection, because access data can be exported to reporting systems and compared over time for drift or exceptions.
Practical implication: use automated reporting for shared-file inventory, then feed exceptions into governance and remediation workflows.
Where DSPM and DLP fit in shared-file governance
DSPM identifies sensitive data at rest and maps where it is exposed, while DLP helps detect and constrain risky sharing or disclosure. In a Google Drive context, that means the control problem is not just finding a shared file, but understanding whether the file contains regulated or sensitive content and whether exposure can be reduced automatically. When the two are combined, organisations can move from discovery to remediation faster than manual approvals allow.
Practical implication: connect discovery to remediation so exposed files can be restricted, revoked, or flagged without waiting for a human ticket.
Threat narrative
Attacker objective: The objective is to reach sensitive business or regulated data through overly permissive shared-file access without needing to compromise a user account directly.
- Entry occurs when a sensitive file is shared externally or made publicly accessible through Google Drive permissions or link-based visibility.
- Escalation happens when broad viewer, editor, or inherited access persists long enough for unintended recipients to locate, copy, or redistribute the file.
- Impact follows when exposed content creates unauthorised disclosure, compliance failure, or a breach investigation with insufficient access evidence.
NHI Mgmt Group analysis
Shared-file exposure is a data governance problem before it is a storage problem. Google Drive makes collaboration easy, but collaboration controls are still access controls. When files can be shared externally, inherited by folder structure, or left visible through old links, the organisation has an access lifecycle issue, not just a file management issue. For IAM teams, the key conclusion is that data exposure often starts with stale permission governance rather than with an advanced attack.
API-based discovery is becoming the only realistic way to govern SaaS sharing at scale. Manual review cannot keep pace with modern file volumes or rapid collaboration changes. Automated reporting creates an auditable control layer, which matters when security, legal, and compliance teams all need the same visibility into shared content. The named concept here is sharing drift: permissions that remain broader than intended because no control continuously reconciles exposure against policy.
DSPM and DLP are complementary, but neither fixes poor access ownership on its own. DSPM finds sensitive content and DLP can act on risky exposure, yet both depend on clear governance rules for who may share, with whom, and for how long. If entitlement ownership is vague, remediation becomes a queue of exceptions instead of a control process. The practitioner takeaway is that shared-file security succeeds when access governance and data classification are treated as one workflow.
Compliance expectations are increasingly tied to evidence of access control, not just policy statements. The article's GDPR and audit references point to a broader pattern: organisations are being asked to prove that sensitive data is discoverable, reviewable, and restricted in practice. In that sense, shared-file governance is an evidence problem as much as a security one. Teams should treat external sharing visibility as part of their control assurance model, not as an occasional housekeeping task.
What this signals
Sharing drift will become a more important control concept as SaaS collaboration continues to expand faster than manual review cycles. For identity and data teams, the question is no longer whether files are shared, but whether the organisation can continuously prove that access is still appropriate. That is where access governance, classification, and audit evidence need to converge.
The next operational step is to treat Google Drive sharing as a living entitlement set, not a one-time configuration. Where file exposure intersects with AI agents, service accounts, or automated workflows, the governance model must also account for non-human access paths that can bypass ordinary review habits. The same visibility discipline used for NHI lifecycle control applies here, even if the data store is a collaboration platform rather than an identity system.
For practitioners
- Inventory externally shared files continuously Use automated discovery to identify files with public or external visibility, then refresh the inventory on a recurring schedule so drift is caught quickly.
- Tie sharing review to data sensitivity Prioritise files containing regulated, confidential, or customer data so review effort follows exposure risk rather than file volume.
- Automate permission revocation for risky exposure Create a workflow that can revoke public links, reduce broad access, or flag exceptions for approval when sensitive files cross policy thresholds.
- Export access evidence for audit and compliance Store owner, viewer, and editor data in a reporting system so reviewers can demonstrate who had access and when the exposure was resolved.
Key takeaways
- Shared-file discovery in Google Drive is an access governance control, not a convenience feature.
- Automated reporting and remediation matter because manual review cannot keep pace with sharing drift at SaaS scale.
- The strongest programmes connect file visibility, data sensitivity, and audit evidence into one workflow.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0 and NIST SP 800-53 Rev 5 set the technical controls, while ISO/IEC 27001:2022 and GDPR define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AC-4 | Shared-file permissions map directly to access control governance in SaaS. |
| NIST SP 800-53 Rev 5 | AC-6 | Least privilege is the core control issue in externally shared files. |
| ISO/IEC 27001:2022 | A.8.3 | Media handling and information access controls align with shared-file governance. |
| GDPR | Art.32 | Exposed personal data in shared files can trigger security and access-control obligations. |
Use Art.32 to justify continuous protection, access restriction, and evidence of security controls for shared data.
Key terms
- Sharing Drift: Sharing drift is the gradual expansion of file access beyond what the business originally intended. It happens when link sharing, inherited permissions, or forgotten external access remain in place after the need has passed, creating hidden exposure and weak auditability.
- Data Security Posture Management: Data Security Posture Management, or DSPM, is the continuous discovery and monitoring of where sensitive data lives, how it is exposed, and where policy gaps exist. Its value rises when it feeds remediation rather than generating findings alone, especially in environments where AI expands the number of data paths.
- Permission Inheritance: The practice of allowing access on one object to flow into related objects through defined traversal rules. It reduces duplicate configuration, but it also creates hidden privilege paths that must be understood and reviewed. In complex systems, inheritance is often the real source of effective access.
What's in the full article
Strac's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step use of Strac's discovery workflow for Google Drive shared files and exposure review
- Specific examples of automated remediation actions for public or externally shared content
- Google Drive API filtering approach for visibility states such as anyoneWithLink and public
- Practical reporting output patterns for recurring access oversight and compliance tracking
Deepen your knowledge
NHI Foundation Level course, the industry's only accredited NHI security programme, covers NHI governance, identity lifecycle, machine identity security, and secrets management. It is built for practitioners who need a structured way to govern access across human and non-human systems.
Published by the NHIMG editorial team on August 21, 2026.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org