For Individuals
- Learning & Certification
- Specialist Tracks & Tools
Consulting & Enterprise
- Programmes & Solutions
- Diagnostics & Evidence
Insights
- Analysis & Research
  - Executive Reports In-depth whitepapers for decision-makers
  - Academic Research Peer-reviewed publications and frameworks
- Editorial & Dispatches
  - The C-Suite AI Memo Weekly executive strategy newsletter
  - News & Commentary Press, updates, and market notes
Events
About
Contact
LOGIN

Skip to content

Safe AI for Developers: Shipping AI Features Without Shipping the Risk

The Safety Requirements That Land on Engineering Teams

Quiz: The Safety Requirements That Land on Engineering Teams

Threat Modelling an AI Feature Before You Write Code

Quiz: Threat Modelling an AI Feature Before You Write Code

Prompt Injection, Tool Abuse and Untrusted Content Handling

Quiz: Prompt Injection, Tool Abuse and Untrusted Content Handling

Secrets, Personal Data and What Leaves Your Trust Boundary

Quiz: Secrets, Personal Data and What Leaves Your Trust Boundary

Designing Evaluation Gates Into Continuous Integration

Quiz: Designing Evaluation Gates Into Continuous Integration

Writing Test Sets That Represent Real Users and Real Failures

Quiz: Writing Test Sets That Represent Real Users and Real Failures

Guardrails at Input, Output and Tool Call Level

Quiz: Guardrails at Input, Output and Tool Call Level

Structured Output, Schema Validation and Refusal Handling

Quiz: Structured Output, Schema Validation and Refusal Handling

Retrieval Design That Reduces Fabricated Answers

Quiz: Retrieval Design That Reduces Fabricated Answers

1 of 2

Previous Lesson

Quiz: Secrets, Personal Data and What Leaves Your Trust Boundary

Safe AI for Developers: Shipping AI Features Without Shipping the Risk
Secrets, Personal Data and What Leaves Your Trust Boundary
Quiz: Secrets, Personal Data and What Leaves Your Trust Boundary

Time limit: 0

Quiz Summary

0 of 5 Questions completed

Questions:

Information

You have already completed the quiz before. Hence you can not start it again.

Quiz is loading…

You must sign in or sign up to start the quiz.

You must first complete the following:

Results

Quiz complete. Results are being recorded.

Results

0 of 5 Questions answered correctly

Your time:

Time has elapsed

You have reached 0 of 0 point(s), (0)

Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)

Categories

Not categorized 0%

Review
Answered
Correct
Incorrect

Question 1 of 5

1. Question

What is a trust boundary in an AI application?

The firewall that protects the server
Correct Incorrect Correct answer

The line between information under your control and information sent to external systems
Correct Incorrect Correct answer

The agreement with the model vendor
Correct Incorrect Correct answer

The encryption key used for the database
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points
Question 2 of 5

2. Question

Why is sending personal data to a language model provider’s API a disclosure that requires consent?

The model uses it for training
Correct Incorrect Correct answer

It is visible to the provider's employees who maintain infrastructure, even if the vendor does not train on it
Correct Incorrect Correct answer

The GDPR forbids using APIs
Correct Incorrect Correct answer

The user has already consented by using the internet
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points
Question 3 of 5

3. Question

What is the risk of embedding secrets (like API keys) in model context?

The secrets will be encrypted
Correct Incorrect Correct answer

An attacker using prompt injection can trick the model into revealing them
Correct Incorrect Correct answer

The secrets will be forgotten by the model
Correct Incorrect Correct answer

Only authenticated users can access secrets
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points
Question 4 of 5

4. Question

How should developers handle authentication credentials when a model needs to call an internal API?

Include the credentials in the prompt
Correct Incorrect Correct answer

Use a secret management system to store credentials outside the model's reach; pass tokens only when the model invokes the tool
Correct Incorrect Correct answer

Ask the model to remember the credentials
Correct Incorrect Correct answer

Embed the credentials in the model's weights during training
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points
Question 5 of 5

5. Question

What does the data minimisation principle mean in the context of sending data to external systems?

Never send any data outside your organisation
Correct Incorrect Correct answer

Send only the data strictly necessary for the stated purpose, minimising sensitive information
Correct Incorrect Correct answer

Send everything so that the vendor can help debug issues
Correct Incorrect Correct answer

Data minimisation is a myth and is not actually required
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points

Login

Accessing this course requires a login. Please enter your credentials below!

Username or Email Address

Password

Remember Me

Continue with Facebook

Continue with Google

Lost Your Password?

Register

Don't have an account? Register one!

Register an Account

Keep building practical AI skills

Short, practical courses from Tesseract Academy, founded by Dr Stelios Kampakis, CStat.

Explore Individual Learning

© 2026 Tesseract Academy. All Rights Reserved.