Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security teams face a daunting mix of relentless alerts, complex investigations, and limited resources. It’s not just about detecting threats; it's also about responding quickly and efficiently. Elastic Security has long provided prebuilt capabilities for detection, investigation, and response. But what really sets Elastic apart is its open, API-first approach that gives you the power to build and automate specific workflows at your security operations center (SOC).

Free your analysts to focus on what really matters: security outcomes. Security teams in the UK Ministry of Defence (MOD) are facing a dual burden: the growing volume and sophistication of cyber threats and the relentless operational grind of triaging alerts, managing compliance, and stitching together intelligence from fragmented systems. The reality is clear: Traditional security operations center (SOC) workflows aren't built for today’s pace and quantity of threats.

Security teams often find themselves having to put out the immediate fires in front of them, but this comes at the expense of implementing a more methodical risk reduction strategy. Attack surfaces are expanding, and new risks emerge with new tech. Modern security operations center (SOC) teams are drowning in alerts, stretched thin by talent shortages, and racing to stay ahead of increasingly sophisticated adversaries.

It’s also its greatest defense The biggest threat in our rapidly evolving cybersecurity landscape is artificial intelligence (AI).1 It’s also our greatest defense. Cybersecurity is a high-stakes game where everything is on the line and decisions have to be made fast. For years, cybersecurity strategy has been about increasing visibility to make informed decisions from vast amounts of data.

A security operations center (SOC) leader is the point person for an organization’s security operations. They run a team of security analysts, engineers, and other specialists. But what exactly do they do on a day-to-day basis? As the person managing the organization’s cybersecurity hub, the SOC leader has to navigate all the complexities that come with it.

IoT and unmanaged devices are some of the toughest blind spots for security teams today, and attackers know it. That’s why we’re excited to team up with Armis — an expert in device discovery and risk assessment — to bring its real-time device data right into Elastic Security. By combining Armis’s rich telemetry with Elastic Security’s analytics, ES|QL querying, and Elastic AI Assistant, analysts get the full picture of their device landscape.

Elastic partners with Microsoft to provide integration with the Azure AI Foundry Model Catalog. This collaboration significantly enhances the choices available to security analysts, providing access to a diverse array of powerful large language models (LLMs) that are native to the Azure cloud ecosystem. This partnership underscores Elastic's commitment to delivering cutting-edge cyber defenses for Microsoft Azure customers, using their existing cloud infrastructure and investments.

If you’re just here for the practical example, skip ahead. Are you still relying on static connection strings or shared access signature (SAS) keys to protect your sensitive data streams in Azure Event Hubs? While convenient, these methods can introduce security vulnerabilities. This blog demonstrates a more secure and modern approach.

In the face of increasingly sophisticated cyber threats, the chief information security officer, or CISO, is responsible for ensuring the organization's data is secure. CISOs ensure that proper security strategies, policies, and technologies are working to meet their goals of mitigating risk, maintaining regulatory compliance, and upholding customer trust. A CISO helps align security initiatives with business goals, enabling growth while minimizing disruptions and vulnerabilities.

Widespread implementation of artificial intelligence (AI) in security presents a paradox. On one hand, it helps security experts combat advanced threats at scale. On the other hand, AI is also contributing to the scale of sophistication of adversaries' threat campaigns. To fight fire with fire, organizations are increasingly automating security processes to make up for the uneven playing field on which they find themselves.