Deval Shah, Author at Aporia

Aporia has been acquired by Coralogix, instantly bringing AI security and reliability to thousands of enterprises | Read the announcement

Deval Shah

Deval is a freelance writer and ML engineer curious about everything AI - engineering, research, applications and how it will shape our lives.

Deval’s articles

Step by Step: Building a RAG Chatbot with Minor Hallucinations

In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a groundbreaking technique that enhances...

Deval Shah

Read Now 12 min read

10 Steps to Safeguard LLMs in Your Organization

As organizations rapidly adopt Large Language Models (LLMs), the security landscape has evolved into a complex web of challenges that...

Deval Shah

Read Now 14 min read

The Security Risks of Using LLMs in Enterprise Applications

Large language models (LLMs) are rapidly reshaping enterprise systems across industries, enhancing efficiency in everything from customer service to content...

Deval Shah

Read Now 10 min read

The Risks of Overreliance on Large Language Models (LLMs)

The rapid adoption of Large Language Models (LLMs) has transformed the technological landscape, with 80% of organizations now regularly employing...

Deval Shah

Read Now 12 min read

LLM Information Disclosure: Prevention and Mitigation Strategies

The rapid rise of Generative AI (GenAI) has been nothing short of phenomenal. ChatGPT, the flagship of popular GenAI applications,...

Deval Shah

Read Now 15 min read

Understanding Excessive Agency in LLMs: Implications and Solutions

Imagine an AI assistant that answers your questions and starts making unauthorized bank transfers or sending emails without your consent....

Deval Shah

Read Now 12 min read

What is Insecure Plugin Design in Large Language Models?

Imagine if your AI assistant leaked sensitive company data to competitors. In March 2024, researchers at Salt Security uncovered critical...

Deval Shah

Read Now 12 min read

LLM’s Insecure Output Handling: Best Practices and Prevention

Insecure Output Handling in Large Language Models (LLMs) is a critical vulnerability identified in the OWASP Top 10 for LLM...

Deval Shah

Read Now 11 min read

Build vs Buy: How to Choose the Right Path for Your GenAI App’s Guardrails

In May 2023, Samsung employees unintentionally disclosed confidential source code by inputting it into ChatGPT, resulting in a company-wide ban...

Deval Shah

Read Now 8 min read

Prompt Injection Attacks in LLMs: What Are They and How to Prevent Them

In February 2023, a Stanford student exposed Bing Chat’s confidential system prompt through a simple text input, revealing the chatbot’s...

Deval Shah

Read Now 17 min read

Red Teaming for Large Language Models: A Comprehensive Guide

Imagine a world where AI-powered chatbots suddenly start spewing hate speech or where a medical AI assistant recommends dangerous treatments....

Deval Shah

Read Now 17 min read

RAG in Production: Deployment Strategies and Practical Considerations

As organizations rush to implement Retrieval-Augmented Generation (RAG) systems, many struggle at the production stage, their prototypes breaking under real-world...

Deval Shah

Read Now 23 min read