Continuous synthetic red teaming against your prompts, models and agents — before a real attacker finds the gap first.
Synthetic attacks are launched continuously against your AI surfaces. Every hit is classified, scored, and written to the audit log.
Instruction-override sequences designed to bypass system prompts and extract controlled content.
DAN, role-play, and persona-inversion attacks that attempt to remove safety framing from the model response.
Prompt sequences crafted to exfiltrate training data, system prompts, or documents from the knowledge base.
Calls that attempt to invoke tools outside the agent's declared scope — email, file-write, external HTTP.
Attack intercepted before reaching the model. NeMo or OPA fired. Event written with rule ID and confidence score.
Model responded but output classifier flagged potential policy leakage. Logged for review — policy tightening recommended.
Attack succeeded through the configured rails. Classified by severity. Assigned to the security queue for remediation.
Attack type fully covered — no novel path found. Coverage metric updated and included in the weekly report.
Every red team run updates the dashboard. Findings are classified by severity and attack vector, ready for your SOC team.
Red team findings land directly in the Recce policy evaluation log and audit trail — classified, timestamped, and ready for your SOC queue.
Run a synthetic red team against your models now. We'll surface the findings and walk through remediation options.