Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

May 2024

Reducing false positives with automated SIEM investigations from Elastic and Tines

One of the biggest SIEM management problems SOC teams face is that they are often overwhelmed by false positives, leading to analyst fatigue and visibility gaps. In addition to that, one of the toughest challenges in security is detecting when SaaS access tokens are compromised without adding to the false positive problem. At Elastic, the InfoSec team tackles both of these issues by automating SIEM alert investigations with tools like Tines.

Elastic Security shines in Malware Protection Test by AV-Comparatives

Real-world malware 100% protection with zero false positives Elastic Security has achieved remarkable results in the recent AV-Comparatives Malware Protection Test, with a protection rate of 100% and no false positives against real-world malware samples. This independent assessment underscores our commitment to providing world-class malware protection, with zero false positives and zero user impact.

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.