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Unit 42 Predicts the Year of Disruption and Other Top Threats in 2025

Palo Alto Networks

Elsewhere in the MITRE ATT&CK framework, we'll encounter GenAI-powered operations capable of accelerating reconnaissance by automating open-source intelligence (OSINT), aiding initial access through hyperpersonalized phishing and smishing communications, and automating the identification of sensitive information and assets.

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Open-Source and DataStax Cassandra Versions: A Comprehensive Guide

Datavail

In this blog post, we will explore the relationship between the open-source Apache Cassandra project and DataStax, a company that offers an enterprise version of Cassandra, along with the different options available in both ecosystems. Apache Cassandra 4.x x : The latest major release, Cassandra 4.x,

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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ReadySet raises $29M to expedite access to enterprise-scale app data

TechCrunch

Together at MIT, Marzoev and Gjengset spearheaded an open source project called Noria, a streaming data-flow system designed to act as a fast storage backend for web apps. ReadySet is currently pre-revenue stage, but the company is collaborating with a small number of potential customers as design partners.

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Title Launch Observability at Netflix Scale

Netflix Tech

Part 3: System Strategies and Architecture By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques This blog post is a continuation of Part 2 , where we cleared the ambiguity around title launch observability at Netflix. The response schema for the observability endpoint.

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Enabling privacy and choice for customers in data system design

Lacework

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. This is how Lacework puts customers first — by ensuring protection and control of customer data is at the core of our technology and data architecture design.

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25 Feb Cloudera Federal Forum in Tysons Corner: Amazing agenda filled with lessons learned and best practices

CTOvision

Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. High Performance Computing Lead, NASA Center for Climate Simulation (NCCS).