What is AI Trust Score™?

AI Trust Score™ is Tumeryk’s quantitative approach to measuring the trust and risk posture of AI systems. It translates technical evidence from AI testing, behavioral signals, and risk assessments into a standardized 0–1000 score, with higher scores representing stronger resilience and trustworthiness.

Rather than relying solely on documentation, questionnaires, vendor claims, or conventional AI capability benchmarks, AI Trust Score™ evaluates how AI systems behave under adversarial and risk-focused testing.

The assessment examines AI risk across dimensions including:

• Security
• Privacy
• Reliability
• Safety & Societal Impact
• Transparency
• Excessive Agency

Testing can evaluate failure modes such as prompt injection, system-prompt leakage, sensitive-data exposure, hallucination, unsafe outputs, privacy leakage, and unauthorized agent or tool behavior.

A key empirical input into the assessment is Attack Success Rate (ASR) — the proportion of adversarial attempts that successfully cause an unsafe or undesirable response. Identified failures are also evaluated according to their potential impact rather than treating every failure as equally significant.

This creates a risk-sensitive assessment that helps organizations answer an important enterprise question: How much should we trust this AI system for a particular use case?

AI Trust Score™ can help security, risk, governance, and AI teams identify weaknesses, compare risk profiles, prioritize remediation, and reassess AI systems as models, prompts, applications, permissions, or configurations change.

By combining measurable assessment with Tumeryk’s broader security and governance capabilities, organizations can move from identifying AI risk toward continuously measuring, managing, and governing it.