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Pluralsight — Attacking AI Applications 2026-9

Added October 15, 2026

Pluralsight — Attacking AI Applications 2026-9

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Description

Malek Mohammad examines security testing for applications that connect language models with documents, APIs, user information and business workflows. The course starts by mapping those connections into an attack surface and uses that map to plan assessments of direct and indirect prompt injection.

The later material explores the security impact of jailbreaks and manipulated retrieval inputs, including controlled tests with poisoned source documents. It distinguishes a model responding unexpectedly from an application weakness with a demonstrable consequence. Documenting the test and explaining its impact are treated as essential parts of an AI-application assessment.

Intended audience: Application-security assessors, penetration testers, security researchers and AI-system engineers.

What you will learn

  • Map an AI application's architecture into assessment targets.
  • Evaluate direct and indirect prompt-injection behavior.
  • Examine retrieval manipulation in controlled security tests.
  • Document findings and distinguish behavioral bypasses from security impact.

Course specifications

Publisher
Pluralsight
Instructors
Malek Mohammad
Quality
1080p
Level
Beginner
Duration
1 hour and 31 minutes
Subtitle
English
Edition
2026-9

Course topics

IT & SecurityAI & DataVideo TutorialArtificial intelligence
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Course topics · Pluralsight — Attacking AI Applications 2026-9
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Pictures · Pluralsight — Attacking AI Applications 2026-9

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2026-9 · 1080p · 1

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2026-9 · 1080p

Size

238 MB

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