Elastic Security, the agentic security operations platform

Long before AI gave attackers nation-state capabilities at commodity prices, the security industry piled on taxes — per-device fees, siloed tools, proprietary AI, locked data.

Elastic is built to secure, not to tax, so your team can see, reason, and respond at machine speed.

  • Report

    Elastic named a Leader in The Forrester Wave™: Security Analytics Platforms, Q2 2025.

  • Industry Test

    Elastic is the only vendor with 100% protection rates in all of AV‑Comparatives' 2025 Business Security Tests.

  • Report

    Elastic named a Visionary in the 2025 Gartner® Magic Quadrant™ for SIEM.

BUILT TO SECURE, NOT TO TAX

No taxes on your time, wallet, trust, or attention

Every artificial barrier a security vendor creates — financial, technical, or operational — is a gap an attacker can use. We've built Elastic Security to remove them.

  • Repeal the endpoint tax

    Per-device fees force protection gaps. SIEM and XDR from Elastic Security are priced on compute and storage — so every endpoint is covered.

  • End the automation tax

    A separate SOAR means brittle workflows that can't adapt to today's threats. With Elastic, native automation is built in — no separate license, no maintenance.
  • Ditch the AI black-box tax

    Vendor-mandated models mean your team can't validate AI decisions made on your behalf. Elastic is model-agnostic, with full visibility into every decision.

  • Drop the data tax

    Rehydration penalties create blind spots during active incidents. Query years of archived data in place, in seconds — no wait, no extra charge.

Security operations have changed — here's what that actually means

Autonomous agents handle the full lifecycle from ingestion through response, and analysts handle judgment, verification, and approval.

Built for developers. Proven by customers.

Explore real customer reviews and ratings to see why Elastic is trusted to deliver speed, insight, and reliability at scale.

You're in good company

  • Customer spotlight

    Proficio boosted SOC efficiency and achieved 60% growth with Elastic. Using Elastic AI Assistant for cost-effective triage at scale, it cut investigation time by 34% and unlocked $1 million in projected savings over three years.

  • Customer spotlight

    UOL turbocharges its security operations, achieving 80% faster incident resolution and seamless threat management, all powered by Elastic Security.

  • Customer spotlight

    By replacing multiple tools with Elastic Security, Texas A&M automated and streamlined key processes, freeing up 100+ analyst hours every month and reducing response times by 99%.

What matters in an agentic security operations platform

Most platforms add tools, fees, and fragmentation where they should remove them. Here's what separates a platform built for an AI-powered threat environment from one retrofitted to meet it.

Elastic Security
Other platforms
Unified AI and security stack
Single platform: The same Elasticsearch infrastructure used by AI engineering teams powers security teams — unified data models, shared infrastructure, shared costs.
Siloed products: Competitors are either security-only or treat AI and security as separate, disconnected products.
Retrieval quality for AI reasoning
Built for AI reasoning: Hybrid BM25, vector, and Jina multimodal architecture for high-quality retrieval across languages and unstructured data — so AI decisions are grounded in real context.
Standard search: Standard search capabilities that can't handle the multimodal retrieval required for AI agent reasoning.
Architectural openness
Native openness: A decade of open source, not a marketing position. Community standards (ECS), public detection rules, and versioned APIs are core — not optional.
Open source theater: Marketing-led openness that hides proprietary locks — claiming openness while keeping AI agents and detection catalogs proprietary.
Deployments across sovereign cloud, on-premises, and air-gapped environments
Deploy anywhere: Ingest, detect, and respond across cloud, on-premises, and air-gapped environments. No data movement required.
Cloud-only infrastructure: Forces customers into a single deployment model and requires moving data to the vendor's cloud.
Unified investigation context
Full context, one platform: Infrastructure metrics, application traces, logs, and security events — one platform, one query language.
Disconnected context: Pure-play security vendors lack application and infrastructure depth. Data platforms lack the detection logic to surface security threats.
Unified AI and security stack
Retrieval quality for AI reasoning
Architectural openness
Deployments across sovereign cloud, on-premises, and air-gapped environments
Unified investigation context
Elastic Security
Other platforms
Single platform: The same Elasticsearch infrastructure used by AI engineering teams powers security teams — unified data models, shared infrastructure, shared costs.
Siloed products: Competitors are either security-only or treat AI and security as separate, disconnected products.
Built for AI reasoning: Hybrid BM25, vector, and Jina multimodal architecture for high-quality retrieval across languages and unstructured data — so AI decisions are grounded in real context.
Standard search: Standard search capabilities that can't handle the multimodal retrieval required for AI agent reasoning.
Native openness: A decade of open source, not a marketing position. Community standards (ECS), public detection rules, and versioned APIs are core — not optional.
Open source theater: Marketing-led openness that hides proprietary locks — claiming openness while keeping AI agents and detection catalogs proprietary.
Deploy anywhere: Ingest, detect, and respond across cloud, on-premises, and air-gapped environments. No data movement required.
Cloud-only infrastructure: Forces customers into a single deployment model and requires moving data to the vendor's cloud.
Full context, one platform: Infrastructure metrics, application traces, logs, and security events — one platform, one query language.
Disconnected context: Pure-play security vendors lack application and infrastructure depth. Data platforms lack the detection logic to surface security threats.

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Frequently asked questions

What is the agentic security operations platform?

Elastic is the agentic security operations platform built to secure, not to tax. It's a platform where autonomous agents handle the full lifecycle from ingestion through response, and your analysts handle judgment, verification, and approval.

The agentic security operations platform is not a fully autonomous SOC. The human is not removed from the loop. The human is moved to the top of it. The platform investigates, correlates, and builds the response plan. The analyst reads it, judges it, and approves it. The platform acts. That architecture, human on the loop rather than human in the loop, is what separates an agentic security operations platform from both the legacy model and the theoretical autonomous SOC that no responsible security team should deploy.

What's the difference between an agentic SOC and a fully autonomous one?

A fully autonomous SOC removes the human entirely. No responsible security team should deploy that. An agentic SOC moves the human to the top of the loop — the platform investigates, correlates, and builds the response plan, and the analyst reviews, judges, and approves it. The platform then acts. That distinction matters: The goal is to match the speed of the attacker without removing human judgment from the decisions that require it.

What makes Elastic's AI different?

Elastic is built on a model-agnostic architecture, allowing customers to use Elastic Managed LLMs, OpenAI, Anthropic, Gemini, or on-premises open source models. It features Elastic Agent Builder for orchestration and uses Jina AI multimodal models for proprietary retrieval advantages across languages and unstructured data.

The same Elastic platform security teams use for detection is the platform AI engineering teams use to build agents, semantic search, and AI applications. That shared foundation means the AI reasoning in the SOC is grounded in real data context, not operating on a separate layer. When the adversary moves at machine speed, defenders need a platform designed for that reality. Every barrier is a delay. Every delay is an opportunity for the adversary. Elastic removes them.

Does Elastic Security replace my current SIEM or XDR?

Elastic Security is the next evolution beyond these categories. While it provides world-class SIEM and XDR capabilities, it functions as a complete agentic security operations platform — unified detection, investigation, and response in one place, without the fragmentation and fees of legacy tools.

Is Elastic Security an open platform?

Yes. Elastic is open by architecture, not just marketing. It includes over 1,300 open and customizable detection rules published on GitHub, supports community standards like ECS and OCSF, and provides full transparency into the AI's logic, sources, and path. This "no black boxes" approach ensures defenders maintain full control over their data and rules.

What are the vendor-imposed taxes on your SOC?

The security industry has added barriers where it should have removed them:

  • The endpoint tax: Per-device fees force coverage decisions that should never be a budget call.
  • The automation tax: A separate SOAR means brittle, deterministic workflows that can't adapt to today's threats.
  • The AI black-box tax: Vendor-mandated models with no transparency mean your team can't validate the decisions being made on your behalf.
  • The data tax: Rehydration penalties on your own historical data create blind spots exactly when full context matters most.

Every one of these is a vendor-imposed tax on your SOC. In an AI-powered threat environment, they are no longer just inefficient; they are a liability.

How does Elastic repeal these taxes?

  • The endpoint tax: Elastic is priced on the compute and storage you use, not per endpoint, so coverage decisions are never a budget call.
  • The automation tax: Native automation is built into the platform, so there's no separate SOAR to buy, integrate, or maintain.
  • The AI black-box tax: The platform is model-agnostic, with full visibility into every AI decision — prompts, queries, and reasoning included.
  • The data tax: Query years of archived data in place, in seconds — no rehydration wait, no penalty.

When your adversary moves at machine speed, every vendor-imposed barrier is a gap they exploit. Elastic removes them all.