GAUNTLEX Introduces Adversarial Resilience Score to Quantify AI Code Security

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A developer has built the Adversarial Resilience Score (ARS), a transparent, auditable metric designed to measure how well AI-generated code withstands adversarial attacks. ARS is calculated by averaging per-attack scores of 1.0 (mitigated), 0.5 (partial), or 0.0 (missed) across 5, 20, or 50 attacks depending on the selected mode. Unlike simple pass/fail counts, the continuous scoring preserves nuance, distinguishing between fully blocked, partially bypassable, and completely failed defenses. The metric powers GAUNTLEX, a CI-integrated tool that blocks code merges by default if ARS falls below 0.80, treating low scores as hard failures rather than advisories. Attack scenarios are drawn from domain-specific playbooks covering standards such as OWASP Top 10, HIPAA, PCI DSS, and FINRA, with findings mapped to compliance frameworks including NIST SSDF and ISO 27001.

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