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 scores each adversarial output with three independent judges (Anthropic, OpenAI, Google) plus a meta-judge, lowering false verdicts and flagging low-confidence cases for human review.
Last reviewed July 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, three-judge adversarial testing, a self-hosted runtime gateway, and control-ID evidence across six frameworks. It usually runs alongside Single-Judge Scanner, since the two address different layers.
What Penaxtra adds
Self-hosted runtime gateway with Ed25519-signed policy distribution
Three judges (Anthropic, OpenAI, Google) + meta-judge consensus on every adversarial finding
Six-framework compliance mapping at control-ID level
PDF + JSON audit-evidence export with twenty-two cross-framework overlaps
Compliance coverage compared
AI-SPM evidence stands alongside Single-Judge Scanner findings; the two cover different ground and are used together.