In the aftermath of supply chain breaches against SolarWinds and Codecov, organizations are focused on protecting their software from malicious tampering and compromise. Addressing the complexity of software development and potential security exposures has been top of mind. The complexity goes beyond traditional application security as the software supply chain encompasses and spans across different services, organizations, roles, and responsibilities.

While perhaps new to AI researchers, supply chain attacks are nothing new to the world of cybersecurity. For those in the know, it has been best practice to verify the source and authenticity of downloads, package repositories, and containers. But human nature usually wins. As developers, our desire to move quickly to improve ease of use for users and customers can cause us to delay efforts to validate the software supply chain until we are forced to by our peers in compliance or security organizations.

Elastic 8.9 introduces the generative AI sidekick, enhanced rule tuning, new lateral detection capabilities, and more! These new features provide security practitioners with advanced detection and analytics, easy to access information, more ways to customize your security investigations, and additional deployment options.

As the world experiences the AI gold rush, organizations are increasingly turning to enterprise AI solutions to gain a competitive edge and unlock new opportunities. However, amid the excitement and potential benefits, one crucial aspect that must not be overlooked is data security — in particular, protecting against adversarial attacks and securing AI models. As businesses embrace the power of AI, they must be vigilant in safeguarding sensitive data to avoid potential disasters.

This blog is the first post of a two-part series. Part 1 talks about the concept of a nation-state and then provides a high-level overview of Locked Shields — the world's largest cybersecurity exercise — and its increasingly important role in promoting cyber warfare readiness for NATO member states and partners. Part 1 also outlines the steps taken by nations to prepare for a cyber warfare exercise.

SIEM (security information and event management) migration is rarely easy. However, when budget constraints, performance issues, or new requirements to further reduce organizational risk lead you down that path, it’s often a good idea to investigate ways to simplify the process. Elastic® and Cribl® have partnered to provide our customers with tools that simplify the process and provide ongoing value to your security operation.

Introducing the new Elastic Security Value Calculator. With this tool, you can quickly quantify the financial efficiencies Elastic® can deliver for your organization. Estimate Elastic's value to your organization. Visualize how Elastic Security improves KPIs around risk, costs, and productivity. The numbers tell the story: achieving holistic visibility reduces risk, improves productivity, and drives cost savings and revenue recovery.

What a time it is for data and the UK Ministry of Defence (MoD), with large language models (LLMs) and artificial intelligence (AI) innovation accelerating at unprecedented speed. How quickly can the MoD take operational advantage of these advancements? Now is the time to unleash the power of data and transform how the MoD approaches cybersecurity to outpace adversaries, gain multi-domain operational efficiency, and of course, attain rapid decision-making superiority.