Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In the age of generative AI, data security is a key concern for organizations to manage. In my previous blog post, I dug into how modern SSE technology helps to better secure genAI. The recently published ebook Securing GenAI for Dummies offers further clarity on strategies organizations can use when it comes to securing and enabling genAI apps. With that in mind, we’ve compiled 10 essential questions to keep in mind as you assess your data security, along with how Netskope can help address them.

Welcome to the 18th edition of the Cloudflare DDoS Threat Report. Released quarterly, these reports provide an in-depth analysis of the DDoS threat landscape as observed across the Cloudflare network. This edition focuses on the second quarter of 2024. With a 280 terabit per second network located across over 230 cities worldwide, serving 19% of all websites, Cloudflare holds a unique vantage point that enables us to provide valuable insights and trends to the broader Internet community.

The MD5 cryptographic hash function was first broken in 2004, when researchers demonstrated the first MD5 collision, namely two different messages X1 and X2 where MD5(X1) = MD5 (X2). Over the years, attacks on MD5 have only continued to improve, getting faster and more effective against real protocols. But despite continuous advancements in cryptography, MD5 has lurked in network protocols for years, and is still playing a critical role in some protocols even today.

Elastic and Google Cloud are pioneering a comprehensive security solution that leverages our distinct capabilities to offer an unparalleled security analytics experience. This collaboration integrates the Elastic Search AI Platform with Google Cloud's scalable and secure infrastructure services to provide a comprehensive security platform designed to secure hybrid workloads efficiently.

There is a lot to keep track of these days. Organizations face an array of challenges that can hit anywhere on the spectrum from the mundane to the existential. Heightened security concerns affect how tightly you control user access. The proliferation of devices adds complexity and bloat to your management stack. And almost every organization, regardless of size, is expanding its distributed workforce across global time zones and native languages. Getting this right falls to you as well.

As organizations increasingly adopt diverse cloud services to meet their varying computational and storage needs, multi-cloud security emerges as a critical concern. “In 2024, a majority of organizations (78%) are opting for hybrid and multi-cloud strategies. Of those organizations, 43% use a hybrid of cloud and on-premises infrastructure, and 35% have a multi-cloud strategy,” according to the 2024 Fortinet Cloud Security Report.

Developers often use two prominent techniques for enhancing the performance of large language models (LLMs) are Retrieval Augmented Generation (RAG) and fine-tuning. Understanding when to use one over the other is crucial for maximizing efficiency and effectiveness in various applications. This blog explores the circumstances under which each method shines and highlights one key advantage of each approach.

If your phone is ever lost or stolen, your data could be at risk of being compromised. One of the main ways your stored data could be in danger is if you have a weak passcode, such as 0000 or 1234. If the person who found or stole your phone could guess your passcode, your data would become compromised. Read below to learn more about how to protect your phone when it’s lost or stolen and how to keep your phone’s data safe.

At Fireblocks, we know that our customers employ a variety of different cloud configurations for their own internal systems. That’s why we’re excited to announce that Fireblocks now supports Amazon Web Services (AWS) Nitro Enclaves. With this new development, Fireblocks customers building products on AWS can now utilize Nitro Enclaves to run their Fireblocks API Co-Signer.