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GENAI

Google GenAI Mis UseCases

Generative Artificial Intelligence (GenAI), an advanced technology that has rapidly gained popularity, offers immense potential for creativity. However, as with any emerging technology, it also brings new security risks that require close attention to protect users from misuse and exploitation. In this article, we will delve into some key findings regarding the security risks associated with GenAI systems and discuss practical remediation strategies.

At XenVector we take Security very seriously, as much as we are excited like everybody in using GENAI to solve business productivity and efficencies, we also spend significant time to understand the Mis-UseCases and Threat Models to ensure our clients data is protected.

GenAI Misuse

Recently release Google research on AI mis-usecase highlights these concerns.

Google NapTime AI Vulnerability

Google's Naptime enhances LLM's ability to identify and analyze vulnerabilities in a manner that is both accurate and reproducible while ensuring optimal performance through its specialized toolset. This innovative framework represents an important step forward for AI-assisted vulnerability research, allowing security experts and practitioners to streamline their workflow and focus on the most critical aspects of their work—and maybe even take a well-deserved nap or two!

Google Naptime

Google Naptime Architecture

Microsoft AI GraphRAG

Enhancing Intelligent Applications using GraphRAG

In today's rapidly evolving enterprise landscape, leveraging large language models (LLMs) to build AI-driven operations and intelligent applications is crucial for success. With the rise of private data sets within organizations, it becomes essential to establish clear relationships between various datasets using LLMs and Knowledge Graphs

Graphs vs RAG

LLMs vs Knowledge Graphs