Competitive UX Landscape · AI Red Teaming

No one knows what a good AI red teaming user experience (UX) looks like.

Sample Size N = 6
Competitors Reviewed 6 Competitors
00 — Executive Summary

Built for Richness. Not for Actionability.

Comprehension & Actionability Gap
Most competitors stop at Step 1; none support Step 2 and/or Step 3
Step 1 🔍 Surface Findings
Step 2 🔗 Explain Business Impact
Step 3 🛠 Guide Remediation
Data Comprehension
When users can't understand the data in seconds, it becomes noise
  • Findings output a dense set of data that is hard to digest
  • Users struggle to interpret and prioritize results
Actionability Gap
Without clear prioritization or business impact, everything feels equally urgent and/or equally ignorable.
  • Findings lack clear guidance on remediation steps
  • Tools rarely translate raw results into business impact
The Compounding Effect

Together, these gaps make the tool inaccessible for non-technical audiences — those who most need clear, contextualized results are left unable to engage meaningfully.

Potential Fortify Design Solutions...
Onboarding
Guide users through target creation with sidebar step-by-step configuration to reduce onboarding friction
Reporting & Dashboard
Provide a target-specific dashboard view with status diagrams and performance history graphs for ongoing monitoring and reporting
Comprehension & Visualization
Use familiar diagrams aligned with users' mental models; provide logic for complex visualizations to reduce uncertainty
Information Architecture
Minimize UI density through color-coded advanced filtering and side panels — giving users control over depth
Remediation & Navigation
Embed inline remediation actions within findings and streamline navigational flow to reduce back-and-forth
Actionability & Prioritization
Surface clear urgency signals so users know which risks are most critical to address first
Design Questions for Fortify

Where do we go from here?

Potential open design challenges that needs to be addressed.

How might we improve the overall mental model of Fortify so users immediately understand what the Fortify is capable of?
How should we portray results in a way that is digestible even for non-technical stakeholders and connect the findings to business impact?
How might we map the level of criticality in a way that helps users take action and prioritize certain vulnerabilities?
What risks are clients willing to accept vs. not, and how can Fortify customize that context to inform remediation prioritization?
How might we support users in mitigating identified risks with a specific and actionable next steps?