Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

AWS-Vault is an excellent open-source tool by 99Designs that enables developers to store AWS credentials in their machine keystore securely. After using it for a while at Jit, I decided to dig deeper into how it works and learned a lot along the way. In this article, I will summarize and simplify the information I learned to help others with their aws-vault adoption and lower the barrier to usage.

The cloud offers unparalleled flexibility and scalability, from data storage to maintaining an online presence. However, this increased reliance on cloud infrastructure also brings heightened risks, particularly from DDoS attacks. Recent incidents underscore the urgent need for robust DDoS protection. For instance, the HTTP/2-based DDoS attack peaked last August, reaching over 398 million requests per second.

Serverless functions such as AWS Lambda, Google Cloud Functions and Azure Functions are increasingly popular among DevOps teams, as these cloud-based systems allow developers to build and run applications without managing the underlying infrastructure. But for all their benefits, serverless functions can also raise cybersecurity risk.

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.