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Founder's Pitch
"RiskAtlas provides a framework to expose domain-specific risks in LLMs using knowledge-graph-guided prompt generation, targeting safety evaluation in high-stakes sectors like finance and healthcare."
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Why It Matters
This research is crucial as LLMs are increasingly used in sensitive domains, requiring robust safety measures to prevent misuse and harmful outputs; without it, there's a risk of undetected adversarial exploitation in critical areas like medicine and finance.
Product Angle
The product can be a SaaS platform offering regular updates of domain-specific harmful prompt datasets and a testing framework for organizations using LLMs to ensure they meet safety standards.
Disruption
It could replace less sophisticated content filtering systems currently used in corporations by offering a more nuanced and intelligent approach to identifying and mitigating AI risks.
Product Opportunity
Large enterprise demand in sectors like finance, healthcare, and law for AI safety solutions, with budgets for preventing AI misuse reaching billions, providing a lucrative market for such a solution.
Use Case Idea
A security tool for AI in critical industries like healthcare or finance that uses RiskAtlas's generated datasets to test and fortify AI models against domain-specific threats and implicit harmful prompts.
Science
The paper presents a method for generating harmful prompts specific to domains using knowledge graphs and obfuscation techniques, which help convert explicit prompts into implicit ones that better reflect actual threats and challenges existing LLM defenses.
Method & Eval
The framework uses knowledge graphs to guide LLMs in generating harmful prompts and obfuscates them to test AI models' resistance; validated by the release of code and datasets on GitHub.
Caveats
The approach might be complex to implement in-house by customers, and there may be ethical concerns related to the generation of potentially harmful prompts even for safety testing.
Author Intelligence
Research Author 1
University / Research Lab
author@institution.edu
Research Author 2
University / Research Lab
author@institution.edu
Research Author 3
University / Research Lab
author@institution.edu