LLM Security

LLM security is the practice of protecting large language models and the systems that use them from manipulation, data theft, and abuse.

LLM security is the set of technical controls and practices used to protect large language models (LLMs) and the applications that rely on them from adversarial attacks, data leakage, and unauthorized behavior. It spans model-level safety training, input/output filtering, and runtime policy enforcement.
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Every request is reviewed against your AI surface, control gaps, and rollout goals before the first call.

  • Scoped to your stack, workflows, and risk posture
  • Pilot-first rollout — no platform rip-and-replace required
  • Response from the Qadar team within 48 hours

Requests are reviewed by the Qadar team — response within 48 hours.