AI-SPM vs Manual LLM Pentest
A manual LLM pentest is a one-time snapshot, stale the day the model updates. AI-SPM re-tests on a schedule, tracks findings across runs, and produces standing audit evidence, which is the continuous coverage an EU AI Act or ISO 42001 obligation expects.
Last reviewed July 2026
What AI-SPM vs Manual LLM Pentest really means
Manual LLM Pentest addresses one part of AI risk. What it leaves uncovered is the rest of the AI surface: months to evidence, snapshot-aged the moment foundation models update, no control-mapped output, prompts shared outside the customer trust boundary.
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 Manual LLM Pentest, 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 Manual LLM Pentest findings; the two cover different ground and are used together.