Name: The True Nature of Most Threats Behind AI-ML: Why AI-ML Security Is Fundamentally a Data Problem - Abdullah Garcia, J.P. Morgan
Start: 2026-06-25T11:15:00+0100
End: 2026-06-25T11:30:00+0100

25 June 2026 | London, England
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The True Nature of Most Threats Behind AI-ML: Why AI-ML Security Is Fundamentally a Data Problem - Abdullah Garcia, J.P. Morgan

Thursday June 25, 2026 11:15 - 11:30 BST

Gielgud - 2nd floor

This talk presents a data-driven analysis of AI-ML threat catalogues (i.e. OWASP AI Exchange, OWASP ML Top 10, PLOT4AI, OWASP LLM, OWASP Agentic AI, and CSA Maestro) demonstrating that roughly two-thirds of so-called "AI-specific" threats are extensions of traditional data security vulnerabilities. It argues that organisations should prioritise data governance and data supply chain security (i.e. provenance, lineage, integrity, access control) as the foundation of AI-ML security, rather than treating model-centric defences as the starting point.

Speakers

Abdullah Garcia

Principal Cybersecurity Architect, J.P. Morgan

Enthusiastic and driven security engineer and architect with over twenty years of experience of successful design and delivery of high-quality solutions across a broad range of industry sectors.

Interested in security architecture, control design, domain threat and risk analysis, and risk-control strategies... Read More →

Thursday June 25, 2026 11:15 - 11:30 BST
Gielgud - 2nd floor

AI Lightning Track

Open Source in Finance Forum London 2026

Abdullah Garcia

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