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AI-Driven Cloud Security at AWS re:Invent 2025
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AI-Driven Cloud Security at AWS re:Invent 2025

Klaire Napolitano2025-12-26T11:28:51+00:00

Cloud computing continues to accelerate at a pace that traditional security models were never designed to support. Development teams now provision infrastructure in minutes, deploy services continuously, and scale applications automatically. However, security processes often lag behind this speed. In many organizations, security still enters the workflow after key architectural decisions are already finalized. As a result, teams spend more time fixing problems than preventing them. Although many organizations attempt to shift security earlier in development, the results are often disappointing. Security tools may run during build or deployment stages, yet they frequently lack the context required to provide meaningful [...]

AI-Driven Cloud Security at AWS re:Invent 2025Klaire Napolitano2025-12-26T11:28:51+00:00

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers
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Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers

Ostline Casao2025-12-21T16:15:25+00:00

Amazon Q is often introduced as AWS's generative AI assistant, but that description doesn't really explain why it exists or how it behaves once you start using it. If you treat Amazon Q like a general chatbot, it can feel restrictive or underwhelming. If you treat it as an AWS-native system designed around identity, permissions, and retrieval, it becomes much easier to understand. And much more useful. I've spent a lot of time working with Amazon Q while creating video content for Tutorials Dojo courses, and most of what I'll share here comes from that hands-on experience. My goal is [...]

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and DevelopersOstline Casao2025-12-21T16:15:25+00:00

AWS Security Agent: Context-Aware Application Security
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AWS Security Agent: Context-Aware Application Security

Waffen Sultan2025-12-23T07:20:43+00:00

The Problem: Security Can't Keep Up In the current engineering landscape of our industry, modern software teams are supposed to be built to be able to move fast. Continuous integration, automated deployments, and agile workflows have seen the rise of weekly and even daily releases to be the norm. With rising business and customer demands in the time of rapid advancements in technology, new features, fixes, and changes are constantly pushed to production. However, we all know that security is not meant to be fast and shouldn't be, lest we leave behind vulnerabilities and loopholes in the pursuit of speed. [...]

AWS Security Agent: Context-Aware Application SecurityWaffen Sultan2025-12-23T07:20:43+00:00

Automating PII Detection and Redaction with Amazon Comprehend
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Automating PII Detection and Redaction with Amazon Comprehend

Nestor Mayagma Jr.2026-01-08T08:21:54+00:00

Organizations today are entrusted with enormous amounts of sensitive information. Customer support logs, healthcare records, financial transactions, and even training datasets often contain Personally Identifiable Information (PII) such as names, phone numbers, email addresses, or credit card numbers. Protecting this information is not just a matter of compliance with regulations like GDPR, HIPAA, or PCI DSS. It is also central to maintaining customer trust and reducing the risk of data breaches. Amazon Comprehend, a managed natural language processing (NLP) service, provides a powerful way to automate the detection and redaction of PII. Instead of relying on manual review or custom [...]

Automating PII Detection and Redaction with Amazon ComprehendNestor Mayagma Jr.2026-01-08T08:21:54+00:00

Build a Model-Agnostic AI Text Summarizer Web Extension
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Build a Model-Agnostic AI Text Summarizer Web Extension

Waffen Sultan2025-12-17T14:53:51+00:00

Browser extensions are a great way to bring AI directly into your everyday workflows. Instead of copying text into external tools and websites to be summarized, you can do it right on the page. In this tutorial, we'll build a lightweight, model-agnostic Chrome extension that summarizes selected text using AI. With a simple right-click, users can send any highlighted text to an AI model of their choice and instantly view a concise summary in the extension popup. Rather than focusing on a single provider, this project is designed to be beginner-friendly and privacy-focused. API keys are supplied by the user [...]

Build a Model-Agnostic AI Text Summarizer Web ExtensionWaffen Sultan2025-12-17T14:53:51+00:00

AWS Lambda Managed Instances: Serverless Simplicity with EC2 Control
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AWS Lambda Managed Instances: Serverless Simplicity with EC2 Control

Cristieneil Ceballos2025-12-23T11:18:20+00:00

AWS Lambda Managed Instances marks a significant evolution in serverless computing. For years, standard Lambda was the default for running code without infrastructure management, but it offered limited control over the underlying hardware. This new capability changes that by combining serverless simplicity with Amazon EC2 flexibility. Announced at AWS re:Invent 2025, this feature enables Lambda functions to run on designated Amazon EC2 instances. You choose the hardware configuration, while AWS manages the infrastructure. This approach combines the simplicity of serverless with the control of dedicated resources. Comparing Compute Models: AWS Lambda vs. Amazon EC2 Previously, architects chose between [...]

AWS Lambda Managed Instances: Serverless Simplicity with EC2 ControlCristieneil Ceballos2025-12-23T11:18:20+00:00

How to Generate Simple Document Embeddings with Python
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How to Generate Simple Document Embeddings with Python

Jaime Lucero2025-12-10T05:58:07+00:00

Document embeddings are one of the simplest ways to give machines an understanding of text, and in our previous article, Document Embeddings Explained: A Guide for Beginners, we explored how they turn entire documents into dense numerical vectors that capture meaning and context. Now that you understand what embeddings are and why they’re useful for tasks like semantic search, classification, and clustering, this tutorial will show you how to generate them in practice using Python. Whether you’re working with short paragraphs, long articles, or a collection of documents, the steps in this guide will help you create embeddings that you [...]

How to Generate Simple Document Embeddings with PythonJaime Lucero2025-12-10T05:58:07+00:00

Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake
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Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake

Ian Vergara2025-12-06T12:04:18+00:00

Amazon Security Lake is a managed service that collects and stores security logs from AWS services, on-premises systems, and supported third-party tools. It automatically converts all incoming data into Apache Parquet and formats everything using the OCSF schema. This setup allows different kinds of security logs to follow one consistent structure instead of having separate formats. With this unified approach, teams no longer need to decode or reorganize data manually because Security Lake handles the normalization process for them. In this article, we will walk through what OCSF is, how Amazon Security Lake uses it, and why this combination makes [...]

Open Cybersecurity Schema Framework (OCSF) and Amazon Security LakeIan Vergara2025-12-06T12:04:18+00:00

Can Gemini 3 Replace My AI Toolkit?
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Can Gemini 3 Replace My AI Toolkit?

Ostline Casao2025-12-04T00:51:06+00:00

I've always approached AI with one mindset: use whatever tool gets the job done fastest and cleanest. I'm not loyal to one model, one company, or one ecosystem. I switch between tools depending on what my day looks like. In school, that might mean summarizing academic papers. At work or during self-study, that might mean debugging code or reviewing a cloud diagram. For daily life, it might just mean drafting an email or organizing my notes. So when Gemini 3 came out, I didn't ask whether it was "better" in the vague, marketing sense. My question was simpler: Could it [...]

Can Gemini 3 Replace My AI Toolkit?Ostline Casao2025-12-04T00:51:06+00:00

AWS Vector Databases Explained: Semantic Search and RAG Systems
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AWS Vector Databases Explained: Semantic Search and RAG Systems

Dearah Mae Barsolasco2025-12-21T03:02:32+00:00

The generative AI (GenAI) revolution has transformed how organizations extract value from their data. While large language models (LLMs) demonstrate remarkable capabilities in understanding and generating human-like text, their true enterprise potential is unlocked only when they can access proprietary, domain-specific information. This necessity has propelled vector databases from a specialized niche into an essential pillar of modern AI infrastructure. But First, What Are Vector Databases? A vector database, as its name suggests, is a type of database designed to store, index, and efficiently search vector embeddings. These vectors are high-dimensional points that represent meaning. At its core, a vector [...]

AWS Vector Databases Explained: Semantic Search and RAG SystemsDearah Mae Barsolasco2025-12-21T03:02:32+00:00