SecureQueryAI
Elevator Pitch: SecureQueryAI fortifies AI-driven applications against malicious attacks without sacrificing performance. By safeguarding the frontier of AI interactions, we enable enterprises to harness the full potential of Large Language Models with confidence, driving innovation while protecting their data and integrity.
Concept
A cybersecurity solution leveraging structured queries to enhance the security of Large Language Models (LLMs) against prompt injection attacks.
Objective
To provide an advanced security layer for applications integrating LLMs, ensuring they remain resilient against prompt injection attacks while maintaining high-quality output.
Solution
Implement a dual-channel system combining a secure front-end for prompt and data structuring with a specially trained LLM. This system will be capable of differentiating between legitimate instructions and potential prompt injection attacks.
Revenue Model
Subscription-based model for tech companies and developers using LLMs in their applications. Additional revenue from consulting services for custom security solutions.
Target Market
Tech companies and developers integrating LLMs into their applications, spanning industries such as customer service, content creation, and data analysis.
Expansion Plan
Initially focus on tech startups and expand to larger tech corporations as the product evolves. Future developments include adapting the system for new LLM advancements and other AI technologies.
Potential Challenges
Staying ahead of evolving cybersecurity threats, ensuring compatibility with various LLMs, and convincing stakeholders of the necessity for enhanced security solutions.
Customer Problem
The vulnerability of LLMs to prompt injection attacks, which can compromise application integrity and data security.
Regulatory and Ethical Issues
Compliance with data protection regulations (e.g., GDPR) and ensuring the ethical use of AI and user data.
Disruptiveness
Introduces a new standard for LLM security, potentially reshaping how developers integrate and secure AI in their applications.
Check out our related research summary: here.
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