Platform / Adversarial scans
Adversarial Scans
Scheduled adversarial testing of LLM endpoints with 3,500+ probe templates and a three-judge plus meta-judge consensus pipeline. Findings ship pre-mapped to 6 frameworks at control-ID level.
Last reviewed June 2026
Problem
The gap Adversarial scans closes
Single-model scanners inherit the bias of the model that grades them. Foundation models update on the vendor side weekly; a one-time pentest from January is stale by March. Manual red-teaming does not produce control-mapped evidence.
How Penaxtra approaches it
How Penaxtra delivers Adversarial scans
Penaxtra runs adversarial scans on a daily or weekly cron against customer-declared LLM endpoints. Each response is graded by three independent judges (Anthropic, OpenAI, Google) plus a meta-judge that resolves disagreement and routes low-confidence cases to a human review queue.Prompt caching plus the Batch API keep judging efficient where SLA allows.
Technical capabilities
Adversarial scans capabilities
Three judges (Anthropic, OpenAI, Google) + meta-judge consensus
Daily, weekly, or on-demand scheduling
Probe library extensibility via YAML; customer-authored probes supported
Findings deduplicated across probe families and across scan runs
6 framework mappings shipped with every finding
Compliance mapping
Adversarial scans compliance mapping
Outputs auditor-ready evidence for NIST AI 600-1 MEASURE-2, ISO/IEC 42001 Annex A (AI risk management), EU AI Act Article 9 (risk management system) + Article 15 (accuracy + cybersecurity), MITRE ATLAS, OWASP LLM Top 10, OWASP Agentic Top 10.
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