For the complete documentation index, see llms.txt. This page is also available as Markdown.

Controls

Controls are the central element of the Dastra compliance model.

They translate the requirements of a framework into concrete measures that are measurable and auditable, making it possible to demonstrate the effectiveness of compliance over time.

A control can:

  • cover one or more requirements

  • be shared across several frameworks

  • be associated with tests and risks


Tracking and managing controls

Controls can be tracked from two complementary entry points.


1. From the framework

In the Controls tab of a framework, the user can view:

  • the controls attached to the framework's requirements

  • their remediation type

  • the requirements covered

  • the associated tests and risks

πŸ‘‰ This view is ideal for:

  • understanding the coverage of a framework

  • identifying key controls

  • steering compliance by framework


2. From the control library

The control library centralizes all of the organization's controls, across every framework.

This view makes it possible to:

  • benefit from global statistics (controls with tests, risks, multiple associations, orphans)

  • identify controls reused across several frameworks

  • improve the quality and consistency of the control library

πŸ‘‰ It is a key tool for governance and for industrializing compliance.


Control editing window

The editing window makes it possible to precisely define the role of the control and its links with the rest of the framework repository.


Control label and reference

  • Control label Clearly describes the action or measure being implemented.

  • Control reference Unique identifier of the control in the library.

πŸ“Œ A reference generator is available to automatically suggest a reference that is consistent with:

  • the context of the control

  • the naming conventions

  • the associated frameworks

The user can freely adjust the proposed reference.


Remediation type

Each control must be associated with a remediation type, which specifies its nature:

  • Preventive The control aims to prevent a risk from occurring &#xNAN;(e.g. training, access rules, validation before going to production)

  • Mitigation The control aims to reduce the impact or likelihood of a risk that already exists &#xNAN;(e.g. monitoring, detection, mitigation plan)

πŸ‘‰ This distinction is essential in order to:

  • analyze the risk management strategy

  • balance prevention and detection

  • steer compliance maturity


Tags

Tags make it possible to:

  • categorize controls (e.g. training, AI, security, monitoring)

  • make searching and filtering easier

  • analyze the dominant themes of the library


Associating tests

Tests make it possible to verify the existence, application and effectiveness of a control.

AI-assisted association

The AI assistance suggests:

  • existing tests in the library that are relevant to the control

  • the creation of new tests when necessary

πŸ‘‰ This approach ensures:

  • consistency between controls and tests

  • time savings

  • standardization of audit methods


Associating requirements

A control can be associated with:

  • several requirements of the same framework

  • requirements from different frameworks

πŸ‘‰ This makes it possible:

  • to share controls

  • to link an internal control to a regulatory framework

  • to create bridges between frameworks (e.g. Custom AI ↔ AI ISSP)


Associating risks

Controls can be associated with:

  • existing risks

  • or new risks created directly from the control sheet

The association makes it possible:

  • to view the risks covered by a control

  • to assess the impact of the control on the residual risk

  • to structure a consistent approach to risk management


Merging controls

Over time, the control library may contain redundant or nearly identical controls coming from different frameworks. The merge feature makes it possible to consolidate them into a single reference control.

How the merge works

From the control library or a project, select the controls to merge (up to 30), then trigger the merge via the bulk actions. A wizard prompts you to choose the target control (the one that will be kept): all the associations of the source controls β€” evidence, requirements, risk scenarios, covered controls β€” are automatically consolidated onto the target control, without data loss, and then the source controls are deleted.

The matching is entirely manual: Dastra does not automatically detect duplicates. It is up to you to select the similar controls to consolidate.

Selection of several controls and the bulk actions menu with the Merge option
Select up to 30 controls, then trigger the merge via the bulk actions

The merge wizard displays the two controls side by side: Kept (target control) on the left, To be deleted (source control) on the right. For each multi-valued field (risk scenarios, requirements, tests), you choose the values to carry over to the target control.

Side-by-side comparison table of the controls with selection of the values to keep
Compare the controls side by side and choose, field by field, the values to keep β€” evidence, requirements, risk scenarios and covered controls are consolidated onto the kept control

Typical use cases

  • Deduplication: several framework imports have created equivalent controls β€” the merge consolidates them without loss of information.

  • Cross-cutting sharing: a control covering both ISO 27001 and the AI Act framework can be obtained by merging the controls from each framework.

  • Library cleanup: before an audit, removing orphaned or redundant controls improves the readability of the compliance dashboard.


Summary: why controls are central

In Dastra, controls are the point of convergence between:

  • the requirements (what is expected)

  • the tests (what is verified)

  • the risks (what is managed)

This approach enables:

  • operational and measurable compliance

  • cross-cutting governance

  • smart reuse of compliance efforts

Last updated

Was this helpful?