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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: Data Extraction, Memorisation and System Prompt Leakage

LLM Red Teaming: Finding Failures Before Attackers and Regulators Do
Data Extraction, Memorisation and System Prompt Leakage
Quiz: Data Extraction, Memorisation and System Prompt Leakage

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Question 1 of 5

1. Question

What is a primary risk associated with large language models regarding sensitive information?

Models cannot process data efficiently
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Models may unintentionally reveal confidential data through data extraction techniques
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Models lack sufficient training data
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Models are too expensive to implement
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Question 2 of 5

2. Question

Which of the following describes how a healthcare organisation might discover a risk with their clinical support LLM?

The model fails to respond to queries
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The model reproduces specific patient records when prompted appropriately
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The model requires more computational resources
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The model cannot access external databases
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Question 3 of 5

3. Question

What type of vulnerability occurs when system prompts containing organisational instructions are exposed through model responses?

Data encryption failure
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Unauthorised disclosure of operational procedures
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Incorrect data input
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Lack of user authentication
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Question 4 of 5

4. Question

What should practitioners do to test for memorisation vulnerabilities in models?

Avoid using any prompts during testing
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Create prompts that reference specific data points or ask for reproduction of documents
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Ensure models are trained on public data only
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Limit the number of responses the model provides
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Question 5 of 5

5. Question

Why is it important for organisations to conduct regular red team exercises on their LLMs?

To reduce the cost of model deployment
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To identify potential unintentional data leakage through systematic testing
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To increase the speed of data processing
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To prevent models from being updated
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