VQV Signal

SECURITY SOURCE-BACKED TECHNICAL

Show HN post describes a deterministic prompt injection detector built on formal logic

A Show HN post on Hacker News introduces a prompt injection detector that is described as deterministic and based on formal logic. The linked project page is nischoy.ai. The Hacker News listing shows 1 point and 0 comments, so there is little community discussion so far. The snippet does not give details on how the detector works, what it detects, or how it performs against real attacks.

Source: Hacker News · nischoy.ai Published 2026-11-14T21:35:45+00:00 Detected 2026-11-15T02:31:18+00:00
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A Show HN post on Hacker News introduces a prompt injection detector that is described as deterministic and based on formal logic. The linked project page is nischoy.ai. The Hacker News listing shows 1 point and 0 comments, so there is little community discussion so far. The snippet does not give details on how the detector works, what it detects, or how it performs against real attacks.

AI-assisted summary based on the listed source.

Builders of LLM applications who handle untrusted input may be interested in whether a rule-based, deterministic approach can complement probabilistic filters. Whether it holds up will depend on accuracy data and independent testing, which the listing does not provide. Watch for benchmarks, technical documentation, and feedback from security researchers.

Security-conscious readers may want to review the source and watch for practical exposure or mitigation details.

Signal Strength 83% Technical label SOURCE-BACKED Public Interest 26 Category SECURITY Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 8 Novelty Interest Score 94 Consequence Score 12 Curiosity Score 0 Shareability Score 38

VQV surfaced this signal because it is recent, relevant to AI Security, connected to Hacker News.