AIPSA Certification
Morgan Chen · 87/100
Sample results
Morgan Chen — Security Engineer at Apex Fintech. Score, domain breakdown, and study plan are computed from a realistic mock exam.
This is a sample AIPSA Certification result, not the output of an actual exam. Scores reflect knowledge gaps typical for this role and experience profile.
Assessment Result
Proficient understanding of AI Product Security and practical application.
Domains covered
14
Questions answered
84/84
Strengths
6 domains
Gaps identified
3 domains
Top strengths
- RAG Authorization
- Logging & Telemetry
- Agentic Permissions
Priority gaps
- Incident Response
- Detection Engineering
- Governance Evidence / Customer Trust
Credential Issued
Score band
80–89
Valid until
2028-04-14
Domain Scores
All 14 AIPSA domains scored 0–100. Sorted weakest first. Strength thresholds: Strong ≥ 85, Moderate 70–84, Developing < 70.
Incident Response
Detection Engineering
Governance Evidence / Customer Trust
AI Supply Chain
Evaluation & Regression Testing
Prompt Injection
Model & Provider Risk
Threat Modeling
Architecture & Trust Boundaries
Data Exposure & Privacy
Inventory
Agentic Permissions
Logging & Telemetry
RAG Authorization
Knowledge Gaps
Domains with the lowest scores. Each card explains what the assessment surfaced and what specific topics to focus on.
Incident Response
Questions surfaced gaps in AI-specific incident taxonomy, escalation paths, and runbook design. General IR knowledge is solid but AI-native response patterns were underdeveloped.
Detection Engineering
Telemetry fundamentals scored well but AI-specific anomaly detection, output monitoring, and detection-as-code patterns were weak. Typical gap for engineers who have strong logging but haven't built AI detection pipelines.
Governance Evidence / Customer Trust
Evidence generation and customer trust documentation were the primary gaps. Control mapping and audit artifact design scored below average, which is expected for engineering roles without audit-facing responsibilities.
Study Plan
Targeted study resources for each identified gap. Complete the corresponding lab track to build applied knowledge before retaking the assessment.
Gap domain
Incident Response
68/100
- AI-specific incident classification and severity taxonomy
- Runbook design for model misbehavior, data leakage, and agent escalation
- Escalation paths and on-call workflows for AI incidents
- Post-incident review artifacts and AI system forensics
Gap domain
Detection Engineering
73/100
- Output monitoring and behavioral baselining for LLM systems
- Anomaly detection patterns specific to AI workloads
- Detection-as-code approaches for agentic workflows
- Alerting thresholds and tuning for prompt injection signals
Gap domain
Governance Evidence / Customer Trust
76/100
- Evidence pack structure and control mapping
- Customer-facing AI security documentation
- Audit artifact design and traceability
- AI security disclosure and transparency requirements
Retake guidance
Ready to move up?
- Study the 3 gap domains from the Field Guide
- Complete blue-team and governance lab tracks
- Target Advanced (90–94) on retake
Credential
Your issued credential. Every AIPSA credential includes a public verification link, credential ID, and issue/expiry dates.
Practitioner
Morgan Chen
Proficient understanding of AI Product Security and practical application.
Recommended for
Security engineers, analysts, builders
Domain coverage
14 domains
Issued
2026-04-14
Credential ID
AIPSA-DEMO-2026
Credential details
Next steps
Turn your results into skills and evidence.
Close the identified gaps, complete relevant lab tracks, and retake the assessment to advance your credential level.
AIPSA Labs
Practice blue-team and governance scenarios to close your identified gaps.
Field Guide
AI Security domain reference — one page per domain, aligned to the exam.
Retake
After studying, retake the assessment to advance to Advanced or Distinguished.
Verify / Share
Share your credential verification link with employers or clients.