AI Security

Mitigating Prompt Injection and Data Poisoning in Enterprise LLM Infrastructure

IDMANN Research Unit
June 28, 2026
As organizations integrate Large Language Models into core operations, adversarial prompt engineering has turned into a severe execution exploit vector. Rogue instructions embedded inside multi-tenant source documents can bypass application permissions entirely, causing unauthorized database mutations or intellectual leaks. To counteract this threat, IDMANN introduces dual-stage isolation pipelines that attestate content blocks before processing...
Target Keywords: AI security, AI Cybersecurity, Cybersecurity Nigeria