A security report on GenAI from Pillar, The State of Attacks on Generative AI, sheds light on some critical security challenges and trends emerging in generative AI (GenAI) applications. Here are the key insights I took away from the report. 1. High Success Rate of Jailbreaks One of the most alarming statistics is that 20% […]
Seven observations from Pillar’s “The State of Attacks on GenAI” Read More »
Ensuring the security of generative AI systems is critical, given their complex nature and potential vulnerabilities. In this blog, I talk about three emerging security considerations and highlight an AWS security service for generative AI applications and LLMs on Amazon Bedrock.. Three emerging GenAI Security areas for CISOs to consider 1/ Model Output Anomalies: Generative
Securing GenerativeAI: Key Emerging Threat Vectors and Guardrails for Amazon Bedrock Read More »
Are you like me and recently found out that OpenAI has multiple ways to consume their breakthrough GPT models? If so, let’s break down the differences and primary use cases for each of these models: ChatGPT: InstructGPT: Fine-tuning models: Embedding models vs. Language models: In summary, ChatGPT is ideal for conversational AI applications, InstructGPT is
This article aims to give business stakeholders an understanding of the major components of GenAI so they can effectively navigate the GenAI noise and have productive conversations internally and with trusted partners. The recent advancements in generative AI are driving a race to capitalize and monetize GenAI by businesses. While there is no lack of
Four business considerations for anyone in B2B thinking about GenAI adoption Read More »
Most organizations are already doing some form of omnichannel marketing using disparate 3rd applications and on-prem data stores. Amazon employs a combination of homegrown tools they’ve developed over the years, and they’ve made some of those tools available via Amazon Web Services for anyone to use. Today I’m going to focus on using your historical
