PulseAugur
EN
LIVE 21:38:04

AI vulnerability scanner achieves 7% recall in initial OWASP Benchmark test

By PulseAugur Editorial · [1 sources] ·

An AI vulnerability scanner, designed to use deterministic static-analysis rules combined with an LLM for false-alarm judgment, initially achieved a recall of only 7% on the OWASP Benchmark. This low recall indicated that the scanner missed 93% of the vulnerabilities it was intended to find, while its precision of 60% suggested that when it did raise an alarm, it was generally correct. The developer views this low recall as a valuable diagnostic, indicating a need to expand the scanner's vocabulary of vulnerability patterns rather than a fundamental flaw in its core machinery. AI

IMPACT Highlights the challenges in developing AI-powered security tools and the importance of iterative testing and transparent reporting.

RANK_REASON The item describes the initial results of a new AI vulnerability scanner tested against a standard benchmark, detailing its performance metrics and the developer's interpretation of those results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI vulnerability scanner achieves 7% recall in initial OWASP Benchmark test

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes the initial results of a new AI vulnerability scanner tested against a standard benchmark, detailing its performance metrics and the developer's interpretation of those results. …
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
50 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Ali Afana ·

    My Scanner Missed 93% of the Bugs — and That Was the Right First Result

    <p>The first time I ran my vulnerability scanner against the industry-standard<br /> benchmark, the bottom line of the scorer's report was this:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code><span class="nv">$ </span>python scripts/score_…

RELATED ENTITIES

RELATED TOPICS