Adversarial Scans
Scheduled adversarial testing of LLM endpoints with 3,190+ probe templates scored by deterministic checks, with the three-judge plus meta-judge panel built and switched off. Findings ship pre-mapped to 7 frameworks at control-ID level.
Last reviewed September 2026
The gap adversarial scanning 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 runs adversarial scans
Penaxtra runs adversarial scans on a daily or weekly cron against customer-declared LLM endpoints. Each response is graded by deterministic checks that run inside our own infrastructure. A panel of three independent judges (Anthropic, OpenAI, Google) plus a meta-judge is built for cases that need model scoring and ships switched off; a probe that does not reach a confident verdict is reported as inconclusive rather than counted as a pass.
Adversarial scans capabilities
Deterministic scoring; three-judge panel (Anthropic, OpenAI, Google) built for cases that need model scoring and shipped switched off
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
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.