Rule-based detection

Hold

Techniques

Deterministic filtering using predefined rules and signals before model inference.

Why it's here

Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

5The New Stack·8/25/2026research
How Security Teams Cut AI Costs Without Losing Capability
The article argues that security teams can sharply reduce AI spending by using layered detection funnels, rules-based filters, and lightweight models before escalating only hard cases to more capable LLMs. It also notes that careful prompt design and richer context can improve accuracy while keeping expensive frontier-model usage limited to ambiguous cases.