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Q2 vulnerability research adds AI frameworks to the measurement problem

Kaspersky’s quarterly analysis combines vulnerability registrations, exploitation observations and a new view of flaws in AI agents and frameworks.

Source published 2026-08-26Research reportResearch briefing
Original publication preview: Q2 vulnerability research adds AI frameworks to the measurement problem
Kaspersky / Securelist ↗

Findings and evidence

Kaspersky’s quarterly analysis combines vulnerability registrations, exploitation observations and a new view of flaws in AI agents and frameworks. The publication explains that its knowledge base draws from several advisory databases and can revise earlier totals.

Why it matters

Keep the measurement source and version beside any vulnerability trend. Prioritization also needs exposure, affected assets and evidence of exploitation; raw registration counts cannot answer those questions on their own.

Scope and limits

Different databases have different coverage and reporting delays. Changes in totals may reflect collection changes as well as changes in the underlying security landscape.

Primary source

Kaspersky / Securelist: original publication. Source published 2026-08-26. Brief prepared by websec.gr on 26 September 2026. This is an editorial research summary, not a claim of independent replication.

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