Feature Requests

Feature Name

Try to keep the name short

- **Description:** Introduce an AI-driven capability that validates uploaded control evidence against control test requirements. The system will analyze the content of evidence submissions to confirm adequacy, flag deficiencies, and recommend improvements. Additionally, it enables second-line teams to efficiently review and monitor the effectiveness and residual risk of controls.
- **Key Components:**
    - AI-based validation of submitted control evidence against control test criteria.
    - Contextual feedback to evidence submitters on what is missing or insufficient.
    - Integration with control frameworks (e.g., ISO/IEC 27001, NIST) and control test requirements.
    - Flags ineffective, missing, or high-risk controls across control sets for second-line to priortise for remediation.
- **Benefits:**
    - Reduces human error and subjectivity in evidence reviews.
    - Accelerates control testing workflows by guiding users to submit complete and relevant evidence.
    - Enhances assurance by surfacing controls that are non-functional or poorly implemented.
    - Supports second-line risk and compliance functions with actionable insights and oversight tools.

Description:** Introduce an AI-driven capability that validates uploaded control evidence against control test requirements. The...