Flarea AI Trust Report
See what a comprehensive AI security assessment looks like. This example demonstrates our detailed testing methodology and reporting format for a fictional customer support chatbot.
AI Trust Assessment Report
Customer Support Chatbot v2.1
TrustIndex™ Score
Good - System shows strong security posture with minor vulnerabilities identified
Key Findings Summary
47 tests passed
Strong guardrails against harmful content
8 medium-severity issues
Prompt injection vulnerabilities detected
2 high-severity issues
PII leakage in error messages
What's Included
Our comprehensive AI Trust Reports provide actionable insights across all critical security and safety dimensions. Below is what you'll receive in an actual report.
Executive Summary
High-level overview of findings, risk assessment, and compliance status for stakeholders and executives.
- TrustIndex™ score and breakdown
- Critical vulnerabilities summary
- Compliance alignment (EU AI Act, ISO 42001)
Adversarial Testing Results
Detailed findings from 500+ automated attack scenarios targeting jailbreaks, prompt injections, and guardrail bypasses.
- Successful attack vectors with examples
- OWASP LLM Top 10 coverage
- Exploitability ratings and PoC evidence
Bias & Fairness Analysis
Quantitative assessment of demographic biases and toxic output patterns across protected categories.
- Demographic bias scores by category
- Toxic content detection results
- Fairness metrics and recommendations
Remediation Roadmap
Prioritized action plan with concrete steps to address each vulnerability and improve your TrustIndex™ score.
- Prioritized fixes by severity
- Implementation guidance
- Retesting recommendations
Aligned with Industry Standards
Our assessments align with international AI governance frameworks and regulations
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