Elastic has been recognized as a Leader in the IDC MarketScape for Worldwide SIEM for Enterprise 2024 Vendor Assessment. Elastic Security modernizes threat detection, investigation, and response with AI-driven security analytics — the future of SIEM. It is the tool of choice for SOC teams because it eliminates blind spots, boosts practitioner productivity, and accelerates SecOps workflows.

A head-spinning series of acquisitions and mergers is transforming the security information and event management (SIEM) market. Behind this market shakeup is the ongoing technological shift from traditional, manually intensive SIEM solutions to AI-driven security analytics. Legacy systems — characterized by manual processes for log management, investigation, and response — no longer effectively address today’s fast-evolving cyber threats.

The “Three Pillars” (people, process, and technology) management framework requires a delicate balance in order to achieve successful operations outcomes. Despite the technology pillar dominating the conversation as of late, cybersecurity practitioners are the backbone of your organization's defense against cyber threats.

AI-driven security analytics reduces analyst burnout Most SIEM technologies in today’s market have not kept up with the pace of innovation and place a heavy burden on security analysts to perform manual, labor-intensive tasks in order to maintain defenses. Generative AI is helping security professionals address today’s dynamic threat landscape and prepare for future threats.

In the first blog in this series, we unpacked the foundational concepts of encryption at rest and introduced you to Elastic Cloud’s “bring your own key” (BYOK) feature, which allows you to do encryption at rest with encryption keys managed by the KMS service of your cloud provider. The second blog of this series dives into the technical nuances of implementing encryption at rest with AWS KMS keys.

Elastic Security 8.15 is now available, enhancing our mission to modernize security operations with AI-driven security analytics. Key features include the brand new Automatic Import to streamline data ingestion and onboarding, support for Google’s Gemini 1.5 Pro and Flash large language models (LLMs), a new set of APIs for the Elastic AI Assistant, on-demand file scans for the Elastic Defend integration, and a redesigned way of pivoting between different contexts.

Level up to Elastic’s AI-driven security analytics, now with incentives to ease and accelerate your SIEM migration The SIEM is evolving again. Traditional SIEM solutions will be displaced in modern security operations centers (SOCs) by AI-driven security analytics, which uses the power of Search AI to replace largely manual SOC processes with automation.

In the previous blog of this series, we unpacked the foundational concepts of encryption at rest and introduced you to Elastic Cloud’s “bring your own key” (BYOK) feature, which allows you to do encryption at rest with encryption keys managed by the KMS service of your cloud provider.

Elastic Security has exceptionally powerful capabilities that surpass those of smaller vendors Elastic Security has achieved remarkable results in the recent AV-Comparatives Business Security Test, ranking in the top five with other notable security vendors. Elastic Security was identified as being in the larger end of the market and offers exceptionally powerful tools with capabilities that surpass those of smaller packages.

Not every log is equal As solutions architects at Elastic, we receive a lot of questions around how to fine-tune a security environment, such as: The answer is often, "it depends." So, we’d like to explore the parameters behind these questions to provide you with a more comprehensive understanding of how they influence the response.