Generative AI models have a long history in artificial intelligence (AI). It all started back in the 1950s with Hidden Markov Models and Gaussian Mixture Models, and it really evolved with the advent of Deep Learning. In the past five years alone, we have gone from models with several millions of parameters to the latest being GPT-4, estimated to have over 100 trillion parameters.

I often see “EDR” used as a synonym for “industry-leading endpoint security solution.” There are times when this is accurate, but there are also times when I believe that this generalization stymies discourse around current capability gaps in the endpoint security ecosystem. In this blog post, I want to share my personal taxonomy for endpoint security products — albeit one that perhaps confusingly reuses existing terminology.

Industrial control systems (ICS) have historically been isolated and less interconnected. Isolation was one of the things that kept these systems more secure behind air gaps, at the cost of lost coordination and collaboration. This is rapidly changing with the rise of Industry 4.0 with increased interconnectivity and integration of smart technologies like Industrial IoT (IIoT) and cloud computing in modern industrial processes.

Elastic Security now comes with 1,100+ prebuilt detection rules for Elastic Security users to set up and get their detections and security monitoring going as soon as possible. Of these 1,100+ rules, more than 760 are SIEM detection rules considering multiple log-sources — with the rest running on endpoints utilizing Elastic Security for Endpoint.

For state and tribal governments thinking about applying for — or that have already applied for — funding from the US federal State and Local Cybersecurity Grant Program (SLCGP) or Tribal Cybersecurity Grant Program (TCGP), you likely already know that building out a comprehensive cybersecurity plan is a required element in the process. If you’ve already submitted your application for fiscal year 2022 funding, you have until the end of September 2023 to submit your cybersecurity plan.

Security teams today need to analyze vast amounts of data from various sources, including endpoints, cloud, applications, and user activity, just to mention a few. At the same time, adversary activity is also on the rise and the threat landscape is becoming more and more complex every day. Further exacerbating the situation, security teams are strapped for resources and unable to analyze the enormous amounts of data and security alerts they receive in real time.

Containers and microservices have changed the game: They allow organizations to ship apps faster and make better use of hardware. They encourage modular software design. And containers help teams embrace the cloud-native paradigms of scalability, mobility, and resilience. It’s safe to say that containers have shaken things up.

It's no surprise that organizations are moving to the cloud to innovate — to meet the growing demands of their customers and digital transformation. Organizations want to build applications that are fast and scalable. They want to make use of the latest cloud-native capabilities like containers, orchestrators, microservices, APIs, and declarative infrastructure. However, this also means security in the cloud cannot be an afterthought.