No MDM for Linux? A 68-line Elastic workflow keeps every endpoint's config current
Elastic InfoSec runs Linux endpoint management through Elastic Defend with a scheduled workflow that gets Cursor and Codex config onto new laptops without piling up duplicate actions on offline hosts, and it works for other config too.
Quarantined isn't contained: Agentic phishing response with Elastic and Sublime
The native Sublime Security integration sends email detections into Elastic Security, where phishing incident response can tie a quarantined email to what happens next on the endpoint and pull the threat from every mailbox it reached.
Why 2026 is the Year to Upgrade to an Agentic AI SOC
Agentic AI SOCs differ from copilot-only models by autonomously prioritizing attacks over alerts, executing closed-loop containment, and providing traceable reasoning for every decision, allowing analysts to focus on high-value investigations.
Inside Elastic's agentic SOC: How we took AI alert triage from 60% to 92% accuracy
Elastic's InfoSec team runs three agents that read the detection rule's investigation guide and the closure reasons on 30 days of past cases. Analysts now clear most alerts with a single click in Slack.
13 million tool calls: auditing every AI coding agent action with Elastic Agent
Cursor hooks and Elastic Agent capture every tool call, shell command, file read and MCP request as structured events you can hunt with ES|QL.
Agents vs. agents: how we triage HackerOne reports for $2 each, 85% as well as a human
LLMs made it cheap to flood bug bounty programs with submissions. Here's how Elastic built an AI triage agent that matches human decisions 85% of the time, including the architecture, threat model and calibration against 3,300 real reports
Journey to AlertZero: AI-driven alert triage and attack investigation for the agentic SOC
Elastic Security 9.5 gives SOC teams AI that handles first-pass alert triage and investigation, so analysts can get back to threat hunting and detection engineering instead of working through queue noise.
Inside Elastic InfoSec's agentic SOC: How we cut AI agent LLM calls by 60%
We run fourteen AI agents that triage Elastic InfoSec alerts. They were taking 19 LLM calls to do work that needed 8. Here's the five-step optimization loop we run across the fleet, plus the prompt template you can use with any AI assistant.
Inside Elastic InfoSec's agentic SOC: When to inline your agent's skills for a 5× cost reduction
We tested two agentic SOC architectures in parallel across 36,822 real Agent Builder conversations. One won by 5.7x: a specialized workflow triaging alerts for $0.69 each, against $3.42 for a single agent juggling 14 Skills. The data and the decision framework are both below.
How Elasticsearch ES|QL COMPLETION turns noisy curl and wget rules into high-fidelity cloud security alerts
Elastic InfoSec tested this detection rule pattern on their own cloud fleet, filtering noisy curl and wget events with deterministic logic and LLM triage so only genuine threats reach an analyst.
Inside Elastic InfoSec's agentic SOC: cutting alert triage from 30 minutes to under 3
Elastic's InfoSec team built AI agents on Elastic Workflows that investigate every alert and assemble the case before an analyst ever opens it.
From vulnerability report to CVE draft in minutes: how Elastic automated security advisories with AI
How Elastic's security team built an AI agent with RAG against MITRE's CWE and CAPEC catalogues to draft CVE advisories from raw vulnerability reports, including the full prompt and crawler configs.