Elastic Accelerates SIEM Data Onboarding with Automatic Import Powered by Search AI
Elastic, the Search AI Company, is accelerating the adoption
of AI-driven security analytics by automating SIEM data onboarding with
Automatic Import. This new feature — the only one of its kind for a security
analytics or SIEM solution — automates the development of custom data
integrations. With Automatic Import, Elastic Security now adds custom data
sources faster than any competing security analytics solution— from up to
several days to less than ten minutes— facilitating broader visibility and
easier SIEM implementation.
One of
Elastic’s largest security customers recently migrated nearly 200 data sources,
including many custom technologies. Customers of this scale can now save
hundreds of hours of consulting time and weeks to months of implementation
time.
“Automatic
Import addresses one of the biggest headaches of switching SIEMs: onboarding
custom data sources,” said Michelle Abraham, research director,
Security and Trust at IDC. “The feature automates the development of
new data integrations, reducing the cost, complexity and stress of migration.”
Automatic
Import applies generative AI to expedite labor-intensive SecOps tasks, building
on previous Elastic AI-driven security analytics innovations like Elastic AI
Assistant, which answers security questions and guides practitioner
workflows, and Attack
Discovery, which automates alert triage. Elastic can mitigate the
security challenges intrinsic to fast-changing environments and messy data due
to the company’s ability to handle unstructured data at scale and surface
relevant insights via Large Language Models and RAG.
Powered by
the Elastic Search AI Platform, Automatic Import provides model-agnostic access
to harness the knowledge from large language models (LLMs) and the ability to
ground answers in proprietary data using retrieval augmented generation (RAG).
This is made possible by the flexibility of Search AI
Lake and the company’s expertise in enabling security teams to
leverage data of any kind.
“Automatic
Import makes building and testing custom data integrations easier, helping us
quickly enhance visibility throughout our environment,” said Nate
Thompson, senior manager, Cybersecurity Analytics & Automation at Dana Inc.
Elastic
Security ships with 400+ prebuilt
data integrations, and Automatic Import makes it practical to extend
visibility beyond these to an evolving array of security-relevant technologies
and applications. These integrations normalize data to Elastic
Common Schema (ECS), enabling uniform analysis with dashboards,
search, alerting, machine learning, and more.
“Establishing
visibility across an enterprise IT environment is inherently difficult, but no
matter how the attack surface changes, security teams can’t afford to fly
blind. Until now, onboarding custom data has been costly and complex,”
said Mike Nichols, vice president of product for security at Elastic.
“Automatic Import arrives at a critical moment to address these challenges, as
organizations explore replacement options for their legacy SIEM tools.”
Automatic
Import is launching with support for Anthropic models via Elastic’s
connector for Amazon Bedrock. It supports JSON and NDJSON-based log
formats.
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