Table of Contents
The problem
Security and InfoSec teams reviewing an organization’s Jira environment consistently find the same gap: sensitive custom fields with no field-level access controls.
The finding surfaces in several contexts. A SOC 2 readiness assessment identifies that Jira custom fields containing sensitive data are visible to all project members, failing the least-privilege requirement under CC6. An internal security review flags salary fields, legal risk classifications, and system credentials in Jira as uncontrolled data exposure points. A zero-trust architecture audit notes that Jira’s permission model stops at the application and project level: the data layer inside individual issues operates on implicit trust, with no field-level enforcement.
In each case, the underlying issue is the same: Jira’s native permission model controls access to issues, not to individual fields within them. A user who is authenticated, authorized, and appropriately provisioned for a project can see every field on every issue they can access; including fields that contain data their role does not require.
For security teams, this is a control gap. The question is not whether the exposure is intentional. The question is whether it is governed.
What security teams need from a Jira field-level solution
When an InfoSec team recommends field-level security for a Jira environment, the requirements are specific.
Access control at the data level. Field-level view and edit permissions that restrict access to sensitive fields by user, group, or role, independent of project and issue permissions. The control must be enforceable, not convention-based.
No external data routing. Any solution that routes sensitive field data through external servers introduces a new attack surface and a new data residency question. The solution must operate within Jira Cloud’s infrastructure.
Integration compatibility. Existing automation rules, API integrations, and CSV workflows must continue to function. A security control that breaks operational workflows will be worked around or removed.
Audit trail. A field-level log of who accessed or modified sensitive fields, with timestamps, for the audit period. This is the evidence layer that satisfies both internal security reviews and external compliance assessments.
Encryption. AES-256 encryption of sensitive field data at rest and in transit: protection at the data layer, independent of interface-level access controls.
How Secure Custom Fields for Jira addresses these requirements
Secure Custom Fields for Jira is built on Atlassian Forge, which means all processing and data storage occurs within Jira Cloud’s infrastructure. No field data is routed to or stored on external servers. That satisfies the data residency requirement that security teams prioritize.
Field-level view and edit permissions are applied directly to individual custom fields, configured by user, group, or role, independent of project and issue permissions. Unauthorized users see the field label but not the value — displaying “You don’t have permission to view the value.” Admins can configure a masked display as an alternative.
Jira Automation rules, CSV import and export, and REST API integrations continue to function. Field-level permissions apply at the user level within the application interface; existing programmatic integrations are not disrupted.
Field-level audit logs record every view and modification of sensitive fields with a timestamp and user identity. When a security review, penetration test report, or compliance assessment asks for evidence that access to specific sensitive fields was restricted to authorized users, the log provides a specific, verifiable answer.
AES-256 encryption protects sensitive field values at rest and in transit: a defense-in-depth layer that operates independent of access controls, consistent with the encryption standards referenced by SOC 2, ISO 27001, and HIPAA.
The security posture outcome
Jira’s implicit trust model at the field level is replaced with explicit, enforceable access control. Sensitive fields are governed by the same least-privilege principles applied to other systems in the environment. The data layer inside Jira issues is no longer an ungoverned surface in an otherwise controlled environment.
For security teams recommending remediation actions after a Jira security review, field-level permissions address the finding directly; Not through a workaround, but through a technical control applied at the level of the data.
Secure Custom Fields for Jira adds field-level access control, configurable data masking, AES-256 encryption, and audit-ready logs to Jira Cloud. Built on Atlassian Forge. Your data never leaves Jira Cloud infrastructure.