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LLM Red Teaming: Finding Failures Before Attackers and Regulators Do

What Red Teaming a Language Model Means and What It Proves

Quiz: What Red Teaming a Language Model Means and What It Proves

Threat Modelling: Who Attacks, Why and With What Access

Quiz: Threat Modelling: Who Attacks, Why and With What Access

Attack Taxonomies and Public Frameworks for LLM Risk

Quiz: Attack Taxonomies and Public Frameworks for LLM Risk

Jailbreaks: Role Play, Encoding, Many Shot and Obfuscation

Quiz: Jailbreaks: Role Play, Encoding, Many Shot and Obfuscation

Direct and Indirect Prompt Injection Through Retrieved Content

Quiz: Direct and Indirect Prompt Injection Through Retrieved Content

Tool and Agent Abuse: Turning Capability Into Attack Surface

Quiz: Tool and Agent Abuse: Turning Capability Into Attack Surface

Data Extraction, Memorisation and System Prompt Leakage

Quiz: Data Extraction, Memorisation and System Prompt Leakage

Harmful Content, Bias and Sociotechnical Harm Probes

Quiz: Harmful Content, Bias and Sociotechnical Harm Probes

Multimodal Attacks Through Images, Audio and Documents

Quiz: Multimodal Attacks Through Images, Audio and Documents

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Quiz: Multimodal Attacks Through Images, Audio and Documents

LLM Red Teaming: Finding Failures Before Attackers and Regulators Do
Multimodal Attacks Through Images, Audio and Documents
Quiz: Multimodal Attacks Through Images, Audio and Documents

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Question 1 of 5

1. Question

What is one way that attackers can exploit multimodal large language models according to the lesson?

By submitting only text-based prompts that are clearly malicious
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By using audio inputs that contain background noise to confuse the model
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By uploading images that appear benign but contain hidden instructions
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By creating documents with visible macros that are easily detectable
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Question 2 of 5

2. Question

Which of the following is identified as a potential vulnerability in document uploads?

The use of standard formatting that makes interpretation easier
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The inclusion of embedded macros or hidden text that affects interpretation
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The absence of any visual elements that complicate processing
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The lack of any command structures that could be misused
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Question 3 of 5

3. Question

What should red team practitioners begin their testing with when evaluating multimodal vulnerabilities?

Advanced combinations of multiple modalities
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Complex audio samples that mimic natural speech
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Basic image manipulation techniques
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Automatic validation of all input types
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Question 4 of 5

4. Question

Why is it important for organisations to test combinations of modalities during implementation?

Because single modality testing is sufficient for security purposes
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To ensure that validation occurs at appropriate points in the processing pipeline
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Because combined inputs are easier to validate than individual ones
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To reduce the number of test cases required for validation
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Question 5 of 5

5. Question

What is one recommended approach for maintaining effectiveness against evolving multimodal attack techniques?

Avoiding updates to testing procedures once established
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Including manual inspection alongside automated validation systems
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Focusing solely on text-based attack vectors
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Limiting testing to only the most common input types
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