ShieldAI
Elevator Pitch: In an era where AI can unknowingly become offensive, ShieldAI provides ironclad cybersecurity solutions to ensure your multi-modal large language models remain ethical and non-harmful. Protect your brand, your customers, and your future with the most advanced defense tailored for the AI-driven world.
Concept
Cybersecurity solution for the ethical use of multi-modal large language models
Objective
To prevent jailbreaking attacks against multi-modal large language models (MLLMs) and ensure the ethical use of these technologies in various applications.
Solution
Develop a state-of-the-art defense algorithm that safeguards MLLMs from generating objectionable responses, based on the insights from the latest research on jailbreaking attacks.
Revenue Model
Subscription-based service for companies utilizing MLLMs, offering different tiers depending on usage volume and required customization. Consulting services for model hardening and ethical AI implementation.
Target Market
Tech companies that use MLLMs for their products and services such as smart assistants, customer support chatbots, and content generation platforms.
Expansion Plan
Initially focus on the tech industry and expand to multiple sectors such as healthcare, finance, and education as the use of MLLMs proliferates. Invest in R&D to stay ahead of potential new jailbreaking techniques.
Potential Challenges
Keeping up with the evolving methods of jailbreaking attacks, ensuring compatibility with various MLLMs, and maintaining customer trust.
Customer Problem
Protecting the reputation and integrity of companies using MLLMs against the risks of outputting harmful or inappropriate content.
Regulatory and Ethical Issues
Must comply with digital security regulations, privacy laws, and ethical standards to prevent misuse of protected systems.
Disruptiveness
By addressing a cutting-edge cybersecurity challenge, ShieldAI could become a leader in securing emerging AI technologies, potentially becoming a standard requirement for ethical AI deployments.
Check out our related research summary: here.
Leave a Reply