AI Security Testing
Reviews prompt injection, jailbreak resistance, unsafe tool use, data exposure, RAG poisoning, memory poisoning, and other abuse paths without publishing exploit details.
AI testing procedures for public trust.
NAIGIS Cognitive is designed to test AI systems, LLMs, copilots, and autonomous agents before public trust claims are made. The goal is not to call AI universally safe. The goal is to make tested scope, known limitations, restrictions, review state, and public remedies clear.
Testing Lanes
What NAIGIS Cognitive reviews.
Public pages summarize status and restrictions. Sensitive prompts, exploit details, private customer data, and non-public remediation records are not exposed through public disclosure pages.
Cognitive Drift Testing
Compares current behavior against the approved baseline for model, prompt, retrieval, memory, tool, refusal, and decision consistency changes.
Malicious Behavior Testing
Looks for deception, unsupported claims, fabricated evidence, covert tool use, sabotage signals, collusion, and policy evasion.
Public Harm Testing
Evaluates scam enablement, misinformation, impersonation, financial manipulation, medical or legal misinformation, discrimination risk, child safety, and public safety harms.
Red-Team Certification
Uses adversarial test campaigns and remediation review before higher-risk systems can claim a stronger trust posture.
Continuous Monitoring
Tracks post-certification changes, complaints, incidents, model updates, prompt updates, tool changes, and safety signals.
Reliability Transparency
Separates verified capabilities from unsupported claims, flags false completion claims, records corrections, and discloses when human supervision is required.
Evidence required before public claims
An AI system should not claim safety, reliability, completion, production readiness, or public trust unless the claim is supported by records that can be reviewed.
- AI system and organization identity
- Model version, prompt policy, AI-BOM, RAG source, memory, and tool permission snapshot
- Test plan, test case, test run, input hash, output hash, and finding severity
- Human review state, remediation status, retest status, and continuous monitoring status
- Public-safe redaction review before anything appears in a PublicTrust disclosure