DeBERTa
AssessTechniques
A transformer-based classifier architecture used for prompt-injection detection.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7The New Stack·10/5/2026researchRed Hat bench tests AI guardrails and finds a small classifier nearly matches a 35B model
Red Hat’s AI Safety team compared classifier, LLM-judge, and decision-model approaches for guardrails using the same NeMo Guardrails benchmarks. A roughly 200M-parameter DeBERTa classifier nearly matched Qwen3.6-35B on prompt injection with much lower latency, while Jev and other decision models performed better on content safety.