Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

If you’ve been paying attention to the latest AI product releases or evaluating AI tools for your teams, you’ll probably have noticed how difficult it is to distinguish between hype and reality. Vendors are under an enormous amount of pressure to deliver AI features, and, as a result, many of these new tools feel rushed and fragile, and simply aren’t capable of solving important, real-world problems.

Before end-to-end (E2E) testing frameworks, the software development industry struggled with fragmented and inefficient testing methods. Testing was manual, labor-intensive, and prone to human error, which limited testing coverage and left many critical issues undetected until later stages of development. This manual approach relied heavily on developers and testers executing test cases by hand, leading to substantial inefficiencies and incomplete test coverage.