Cookie Consent
Hi, this website uses essential cookies to ensure its proper operation and tracking cookies to understand how you interact with it. The latter will be set only after consent.
Read our Privacy Policy

Black Box Model

A black box model refers to a system or process where the internal workings or details are unknown or not understood, and it's classified or evaluated only based on its inputs and outputs. The term is frequently used in a variety of fields like finance, computing, and machine learning. It originates from the notion of a 'black box', an object that you can't see inside, but you know what goes in and what comes out.

How Black Box Models work

In machine learning, black box models, like neural networks, make predictions based on a large amount of learned data. The decision-making process is complex and not easily explainable. Despite the lack of transparency, these models can be powerful tools as they have the potential to identify trends and relationships that might not be immediately evident.

In each of these cases, the focus is on the relationship between the inputs and outputs, not on the internal processes that lead to these outputs.

Lakera LLM Security Playbook
Learn how to protect against the most common LLM vulnerabilities

Download this guide to delve into the most common LLM security risks and ways to mitigate them.

Related terms
untouchable mode.
Get started for free.

Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.

Join our Slack Community.

Several people are typing about AI/ML security. 
Come join us and 1000+ others in a chat that’s thoroughly SFW.