AI-SPM vs Single-Judge Scanner
A single-judge scanner asks one LLM whether an attack succeeded; a multi-judge pipeline asks several and reconciles them. Single-model scoring inherits that model's blind spots and bias. Penaxtra decides most verdicts with deterministic checks that run inside our own infrastructure and sends only the responses those checks cannot settle to a single model judge (OpenAI), so the blind spots of one model reach only those responses; a three-judge plus meta-judge panel (Anthropic, OpenAI, Google) is built and switched off. A verdict that is not confident is reported as inconclusive rather than counted as a pass.
Last reviewed October 2026
What AI-SPM vs Single-Judge Scanner really means
Single-Judge Scanner addresses one part of AI risk. What it leaves uncovered is the rest of the AI surface: a single model grading another single model inherits the same blind spots; no consensus mechanism, no human review queue for low-confidence cases.
How Penaxtra closes the gap
AI-SPM covers the AI-specific layer directly: 11 AI asset kinds today, adversarial testing scored by deterministic checks, a self-hosted runtime gateway, and control-ID evidence across seven frameworks. It usually runs alongside Single-Judge Scanner, since the two address different layers. Plans and what each tier includes are on the pricing page.
What Penaxtra adds
Self-hosted runtime gateway with Ed25519-signed policy distribution
Deterministic checks on every adversarial response; a single model judge only for responses they cannot settle
Seven-framework compliance mapping at control-ID level
PDF + JSON audit-evidence export with twenty-five cross-framework overlaps
Compliance coverage compared
AI-SPM evidence stands alongside Single-Judge Scanner findings; the two cover different ground and are used together.