ServalGuard™ Behavioral Safety Evaluation Framework
Most AI safety audits test for jailbreaks and hallucinations. ServalGuard™ goes further — evaluating how your AI behaves with the users most at risk.
Four complementary methodologies that work together to evaluate behavioral safety comprehensively.
Establishes how the system behaves under a realistic, adversarial persona before any pressure is applied — the control condition every later stage is measured against.
Tracks how trust, dependency, and escalation build across a sustained, multi-turn conversation — where most single-prompt red-teaming stops looking.
Measures how precisely each response holds up against the specific risk signals raised in-session — not a generic safety score, but a fit-for-context check.
Audits the full session for repeated or systemic behavioral risk, distinguishing an isolated slip from a pattern the system will reproduce with the next user.
ServalGuard™ Safety Index
Every engagement produces a ServalGuard™ Safety Index score — a 0–100 composite rating with a full report, remediation recommendations, and regulatory alignment mapping for EU AI Act and NIST AI RMF.
Composite Score
0–100 rating aggregating PBAT, EAA, MRS, and SRBA findings into a single safety metric.
Full Report
Detailed findings, risk analysis, and evidence-based recommendations for remediation.
Regulatory Mapping
Alignment to EU AI Act requirements and the NIST AI Risk Management Framework.