Overview

Secureframe's AI Evidence Validation is an advanced feature designed to assist compliance teams in verifying the accuracy and relevance of audit documentation before assessments commence. By proactively identifying potential issues, this tool aims to reduce audit delays, minimize findings, and accelerate the path to compliance.

Key Benefits

• Early Detection of Issues: Automatically reviews uploaded evidence to flag common problems such as missing documents, outdated timestamps, or mismatched files.

• Real-Time Feedback: Provides immediate insights to help teams address and rectify documentation errors promptly.

• Improved Audit Outcomes: By ensuring documentation accuracy, organizations can experience smoother audits with fewer exceptions and faster completion times.

How It Works

AI Evidence Validation employs advanced artificial intelligence to analyze both the content and metadata of submitted evidence. It assesses whether the correct file has been provided for a specific control and verifies if the associated timestamps fall within the required testing window. This proactive approach enables teams to correct issues before they reach the auditor's desk.

Integration with Secureframe's AI Suite

AI Evidence Validation complements Secureframe's existing suite of AI-powered compliance tools:

• Comply AI for Remediation: Generates infrastructure-as-code fixes for cloud environments, facilitating rapid remediation of failing controls.

• Comply AI for Risk: Automates risk assessments by analyzing descriptions and producing risk scores and treatment plans.

• Comply AI for Policies: Assists in drafting and refining security and compliance policies using generative AI.

• Trust AI for Questionnaire Automation: Utilizes machine learning to automate responses to RFPs and security questionnaires, pulling information from existing documentation and contextual cues.

• AI Framework Support: Aids organizations in aligning with emerging standards like NIST AI RMF and ISO 42001 for responsible AI risk management.

Using AI Evidence Validation

AI Evidence Validation is available to all Secureframe customers for Upload Test where evidence validation is crucial.

To leverage this feature:

1. Navigate to the Test in question, then click the Evidence tab

2. Upload the required documentation for your compliance controls, or if evidence is already uploaded then click "Validate active evidence" button.

3. Review the real-time feedback provided by the AI to address any flagged issues.

Frequently Asked Questions (FAQ) 

What kind of files does the AI evaluate? 

• AI Evidence Validation currently supports image and PDF files only. Each file must be under 10MB in size. Make sure your file meets both the format and size requirements before uploading.