IT Security Audit AI Agent

Audit-007 agent - audits smarter to help the IT security teams stay compliant. The agent detects every gap before it costs you.

I leveraged AI agents to transform audit validation—reducing manual review from minutes to seconds while delivering more consistent and explainable results.

Compliance validation effort reduced by 75%–90%

Audit 007 agent reduces audit evidence validation effort by 75%–90% on average across all major frameworks

Key Processes
User research
User scenarios
Concept design
User testing

My Role
UX Designer
UX Researcher
Product Strategist

Teams Involved
Compliance & Assurance team in Wolters Kluwer’s Cybersecurity Office

Situation

The increasing volume and complexity of audit evidence have made traditional validation methods inefficient and difficult to scale.

Pain Points

❌ Validation of evidence is not always performed.

⚠️ Incomplete or incorrect evidence is submitted.

⏳ Audit timelines are exceeded. 

😓 Manual review on evidence line-by-line is not scalable

😨 Fear of undetected, hidden issues

AI-powered validation process

Job-To-Be-Done

I want to quickly verify that evidence is complete, correct, and consistent, so I can confidently report compliance status without manually inspecting every file.

Design Activities

  • Crafted end-to-end journey mapping

  • Rapid prototyping of AI-assisted validation workflows for Audit 007, the application

  • Conducted testing on 4 scenarios: Correct evidence, Incorrect evidence, Partially correct evidence, and Missing evidence

  • User validation and feedback testing

4 evidence validation results

I identified the 4 validation results that AI can flag to help audit team know the audit issues:

Correct Evidence

Partially correct
Evidence

Incorrect Evidence

Missing Evidence

AI Solution

Automatically scans and analyzes audit evidence

  • Classifies results into:

    • ✅ Correct

    • ⚠️ Partially Correct

    • ❌ Incorrect

    • ⛔ Missing

  • Generates clear, structured review notes explaining findings

  • Supports batch processing via spreadsheet uploads

  • Provides a centralized interface for audit tracking and review

  • Keeps humans in control for final validation and decisions

Vibe coding

Using AI to quickly conceptualize based on the lo-fi mockup

End Results

Evidence validation reduced from minutes → seconds per item

  • More consistent and structured audit outcomes

  • Reduced dependency on auditor experience for accuracy

  • Improved ability to scale audits across multiple frameworks

  • Significant reduction in manual effort and cognitive load

During the user testing, the solution demonstrates a 75%–90% reduction in validation effort, significantly improving audit speed and accuracy in compliance process.