article thumbnail

Camelot Secure’s AI wizard eases path to cybersecurity compliance

CIO

Cybersecurity company Camelot Secure, which specializes in helping organizations comply with CMMC, has seen the burdens of “compliance overload” first-hand through its customers. The result is Myrddin, an AI-based cyber wizard that provides answers and guidance to IT teams undergoing CMMC assessments.

article thumbnail

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning - AI

In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale. By defining boundaries for the applications operations, organizations can maintain compliance with internal policies and external regulations. Delete any skipped resources on the console.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , and Amazon Bedrock Guardrails. These indexed documents provide a comprehensive knowledge base that the AI agents consult to inform their responses.

article thumbnail

Introducing guardrails in Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). In the following sections, we demonstrate how to create a knowledge base with guardrails.

article thumbnail

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data. Crucially, if you delete data from the source S3 bucket, it’s automatically removed from the underlying vector store after syncing the knowledge base.

article thumbnail

How Tech Leaders Are Using AI to Solve 10 Procurement Challenges

CIO

AI in Action: AI-powered contract analysis streamlines compliance checks, flags potential risks, and helps you optimize spending by identifying cost-saving opportunities. AI in Action: AI continuously monitors supplier performance, predicts potential risks, and ensures compliance with procurement regulations, improving your risk management.

article thumbnail

Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.