The Space age

Securing cloud application using Falco

Introduction: Falco is an open-source cloud-native runtime security tool originally developed by Sysdig. It continuously monitors your cloud environment, containers, and applications, detecting anomalous behavior and suspicious activities. It is widely used to…

Creating Notebooks using Azure AI Services

AWS sagemaker integration with GitHub

Github

Building Models using AWS Sagemaker Canvas

Introduction to SageMaker Canvas: AWS SageMaker Canvas is a no-code machine learning (ML) tool that enables business analysts and domain experts to build, train, and evaluate machine learning models without needing any coding expertise. It simplifies the…

Securing Cloud applications using Trivy

1. Install Trivy:

First, install Trivy on your local machine or in your CI/CD pipeline environment.

• For macOS or Linux:
• bash
• Copy code

Text Search using AWS bedrock with RAG using AI

Introduction to AWS Bedrock and RAG: AWS Bedrock is a managed service for building and scaling machine learning (ML) applications with foundation models like large language models (LLMs). With Retrieval-Augmented Generation (RAG), AI models can be…

AWS Sagemaker Canvas

Securing cloud applications using AI

As cloud applications become more integral to business operations, they also become targets for sophisticated cyberattacks. Traditional security measures are often reactive, but Artificial Intelligence (AI) brings a proactive, adaptive approach to securing cloud…

AWS Sagemaker for Machine Learning mode Deployment

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. One of the key features of SageMaker is its capability to seamlessly…