The 3 Hidden Dangers of Custom GPTs and How They Can Affect Your Business

Introduction

While Custom GPTs can be a good way to present domain-specific knowledge, automate workflows and implement scalable interactions, they come with a number of security risks that could hit your clients hard, resulting in serious reputational implications for your business!

GPT builders can stay anonymous, share links outside the GPT store to seemingly legitimate imitation GPTs, and bypass OpenAI’s detection systems.

3 potentially damaging attacks

Attackers can exploit the high level of trust end users have in the OpenAI platform, using imitation GPTs to:

Deliver malicious code

Phish for sensitive information either using API calls or through links

Provide insecure coding suggestions, add malicious commands and more!

It’s also possible for an attacker to use ‘prompt injection’ to access the knowledge file you have used to train the GPT, including any IP or sensitive information contained within, & Northwestern University researchers found this method was 97% effective!

How Productised addresses these risks

Our platform is completely independent from user-customized, open-ended conversational GPTs. It uses controlled workflows, pre-defined prompts, and structured inputs, removing the open attack surface that makes garden-variety GPTs so vulnerable to misuse. This makes it a safer bet for the creation of client-facing products that deliver ongoing value.

The workflow prompt-chaining behind Productised means that you control:

(i) Requests made to the AI model,

(ii) The source of training knowledge,

(iii) The finished product delivered to the end user.

This way output consistency and security are both much easier to achieve.

The secret to providing clients with standout AI-powered experiences is maintaining a strong focus on security and consistent output quality. Are you ready to deliver personalised value to leads and clients by leveraging AI the right way?