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OWASP

AI Risk Posture

LLM vulnerability categories — tracked across the evolving AI security landscape

The OWASP LLM Top 10 is a standard awareness document for developers and security practitioners covering the most critical security risks in Large Language Model applications, published by the Open Worldwide Application Security Project (OWASP).

This page tracks how these 10 risk categories appear across our published articles, revealing which vulnerabilities the industry is discovering and discussing most actively.

→ Official OWASP LLM Top 10

Time range:

Risk Radar

Coverage distribution across all 10 OWASP LLM categories

How to read: Each spoke of the radar represents one OWASP category (LLM01 through LLM10). The distance from the centre shows how many articles in our corpus reference that category — further out means more coverage. Categories that "bulge" outward are dominating industry discussion. Categories close to the centre may represent under-reported risks. The number below each label is the exact article count.

Risk Categories

All 10 OWASP LLM categories with severity, trend, and defensive guidance

How to read: Each tile shows one OWASP category. The severity badge (Critical/High/Medium) reflects OWASP's official risk rating. The article count and trend arrow show how actively this risk appears in recent coverage. Click any tile to expand it and see: a description of the vulnerability, concrete mitigation steps, and links to recent articles covering this risk.

Coverage Gaps & Blindspots

Categories with significantly fewer articles than average

How to read: These alerts flag OWASP categories that have less than half the average coverage. This doesn't necessarily mean the risk is low — it may indicate the industry is not yet paying sufficient attention. Categories marked "High" severity with low coverage deserve particular scrutiny.

OWASP → ATLAS Mapping

Which specific MITRE ATLAS attack techniques underlie each OWASP category

How to read: Each card shows an OWASP category and the specific ATLAS techniques that represent concrete attacks in that risk area. This helps translate high-level risk categories into actionable threat intelligence — what specific attacks should your team be monitoring for?

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