Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Rolling your own Detections as Code with Elastic Security

From its beginning, the Elastic detection-rules repo not only contained Elastic’s prebuilt detection rules, but also additional tooling for detection rule management — like a suite of tests, CLI commands, and automation scripts used by the Elastic Threat Research and Detection Engineering (TRaDE) team.

o9 Solutions: Optimizing Security Operations with Elastic

O9 Solutions leverages Elastic for both Observability and Security Operations Center (SOC) purposes. Initially employed for performance monitoring, Elastic's integration with O9's security stack has provided comprehensive visibility into potential threats and anomalies within their environment. This integration extends across various platforms such as Google, AWS, Active Directory, WEF, and HDR, enabling correlation and consolidated dashboard views for decision-making.

AI-driven Security Analytics: Attack Discovery Demo

Powered by the Elastic Search AI platform, Attack Discovery triages hundreds of alerts down to a few attacks that matter. Elastic’s AI-driven security analytics is built on the Search AI platform, which includes RAG powered by the industry's foremost search technology. The traditional SIEM will be replaced by an AI-driven security analytics solution for the modern SOC. Additional Resources.

Elastic integrates Anthropic's Claude 3 models to enhance AI-driven security analytics

For security analysts navigating an increasingly complex threat landscape, the ability to quickly identify and respond to attacks is critical. Security information and event management (SIEM) tools have been integral to helping security teams quickly respond to attacks. Now, in the era of generative AI, Elastic is changing the game by delivering AI-driven security analytics to replace SIEM and modernize the SOC.

Elastic and AWS deliver on AI-driven security analytics

Amazon Bedrock and Elastic’s Attack Discovery automate security analyst workflows As cyber threats grow increasingly sophisticated, the need for highly effective security measures becomes imperative. Traditional SIEMs aren’t equipped to address threats fast enough because they rely on too many manual and labor-intensive tasks. AI-driven security analytics from Elastic’s Search AI platform solves these challenges.

Elastic Security evolves into the first and only AI-driven security analytics solution

In our previous installation, we discussed the history of security information and event management (SIEM) solutions — from collection to organizational detections and finally to response and orchestration. Now, we are firmly in the SIEM 3.0 revolution and focused on applying generative AI to every applicable process in the security operations center with tremendous success.

Zero Trust requires unified data

It’s vital to have a common understanding and shared context for complex technical topics. The previously adopted perimeter model of security has become outdated and inadequate. Zero Trust (ZT) is the current security model being designed and deployed across the US federal government. It’s important to point out that ZT is not a security solution itself. Instead, it’s a security methodology and framework that assumes threats exist both inside and outside of an environment.

Elastic Security | AI Assistant Demo

Elastic AI Assistant can provide real-time, personalized alert insights — empowering security teams to stay one step ahead in the ever-evolving threat landscape. With the power of large language models (LLMs), the AI Assistant can process multiple alerts simultaneously, offering an unprecedented level of insight and customization. You can interact with your data by asking complex questions and receiving context-aware responses tailored to your needs. Watch this demo from James Spiteri, Director of Product Management at Elastic to see what's new in the Elastic AI Assistant in Elastic Security 8.12.

Tracing history: The generative AI revolution in SIEM

The cybersecurity domain mirrors the physical space, with the security operations center (SOC) acting as your digital police department. Cybersecurity analysts are like the police, working to deter cybercriminals from attempting attacks on their organization or stopping them in their tracks if they try it. When an attack occurs, incident responders, akin to digital detectives, piece together clues from many different sources to determine the order and details of events before building a remediation plan.