SafePrompt

Elevator Pitch: SafePrompt is revolutionizing AI safety by automating the proactive discovery and mitigation of vulnerabilities within LLMs, ensuring that AI remains ethical, compliant, and reliable for all users.

Concept

Automated integrity assurance service for Large Language Models (LLMs)

Objective

To enhance the ethical compliance and security of LLM-based systems by providing tools to test and strengthen safety barriers against ‘jailbreak’ attempts that elicit unethical responses.

Solution

SafePrompt will provide a role-playing system employing a knowledge graph to simulate and generate a wide range of potential ‘jailbreak’ scenarios. These scenarios help identify and rectify vulnerabilities in LLMs prior to their deployment.

Revenue Model

Subscription-based access for LLM developers, pay-per-use auditing, or licensing SafePrompt’s technology to third-party platforms for ongoing safety checks.

Target Market

AI development companies, chatbot service providers, and organizations deploying LLMs in customer service, entertainment, education, and other interactive applications.

Expansion Plan

Initially targeting English-speaking markets, eventually expanding to include multiple languages and integrating with emerging LLM platforms as they develop.

Potential Challenges

Staying ahead of evolving unethical exploitation techniques, maintaining a robust and up-to-date knowledge graph, and ensuring the scalability of the service.

Customer Problem

The need for robust safety filters in LLMs to prevent unethical outputs and comply with guidelines without manual and labor-intensive testing.

Regulatory and Ethical Issues

Must comply with global data protection regulations (GDPR, CCPA) and develop guidelines for ethically acceptable use of jailbreak simulation.

Disruptiveness

The ability to proactively and automatically assess LLM safety, compared to current reactive and manual processes, could significantly advance the field.