Elastic Security now includes AI-powered detection rule creation, built into the rule creation workflow. Analysts describe a threat behavior in plain English and receive a complete, validated Elasticsearch Query Language (ES|QL) rule in return, with MITRE ATT\&CK mappings, severity recommendations, and a preview against live data, all without leaving the platform or writing a single line of query syntax. This post walks through exactly how that works using an Okta credential stuffing and…
Entity Analytics is a core security analytics capability that extends Elastic Security from event-centric to entity-centric investigation. By focusing on critical entities, such as users, hosts, and services, it builds a complete profile of each entity’s attributes, lifecycle, behaviors, relationships, and risk score over time. This security context equips threat hunters to stop chasing isolated alerts and instead uncover the full narrative of a potential compromise. In this blog, we walk…
Three things land on you at once: Attack Discovery correlated 12 alerts into a credential-harvesting campaign overnight, your team just onboarded a new fleet of macOS endpoints and needs detection rules for LOLBin abuse, and a risk score spike on a service account just crossed the critical threshold. In most security operations centers (SOCs), that's three different people, three different workflows, and a morning spent context-switching. In Elastic Security 9.4, it's one conversation. You open…
AI agents writing your code. Aikido integrates directly into AWS Kiro's agentic workflow to keep security in the loop, automatically, from the first line. Aikido is AWS's first global security partner for Kiro. Category: Product & Company Updates
Preamble In 2025 and 2026, we watched a pattern play out across the industry. Attackers stopped going after production servers directly and started targeting the automation that deploys to them. Compromised developer credentials, a modified workflow file, and suddenly every secret in a CI/CD environment is streaming to an attacker-controlled endpoint. We saw this play out across incidents involving major open-source projects, Fortune 500 companies, and critical infrastructure tooling. The…
As AI coding assistants become standard tools in engineering workflows, security teams face a new challenge: how do you maintain visibility into what an AI agent is doing (and why) across your organization? When those agents can execute shell commands, read files, call APIs, and interact with internal systems via MCP connectors, you need real-time observability to support threat detection, incident response, and compliance. This post walks through how Elastic's InfoSec team built a monitoring…
Key Takeaways We identified an exposed server that provided unusual visibility into a large-scale, multi-victim exploitation and collection operation. Artifacts on the host showed that Claude Code and OpenClaw were embedded in the operator’s day-to-day workflow, supporting troubleshooting, orchestration, and refinement of the collection pipeline. This AI-assisted workflow resulted in the modular platform Bissa scanner […] The post Bissa Scanner Exposed: AI-Assisted Mass Exploitation and…
Attackers are building workflows around AI—fake tools, spoofed answers, and machine-speed phishing. See how Huntress is tracking this shift and what it means for defenders.
Introduction Over the past few years, we have observed a significant evolution in the capabilities of LLMs to be productive and to carry out various tasks that address real-world problems, such as program synthesis, malware research, or vulnerability research. Specifically in the context of reverse engineering, LLMs are particularly effective given the right tools because they are very good at reading source code even without symbols. Not only that, thanks to their knowledge, they are capable…
A Linux user recently tried to respond to potentially malicious behavior on their machine using OpenAI’s Codex coding agent, before installing the Huntress agent. What ensued shows the unexpected impacts of this AI use case on DFIR investigations.
Preamble Last Monday night I was working late and a Slack alert came in from a monitoring tool I had built three days earlier. Axios compromised; one of the most popular npm packages in the world. My heart started racing, I knew every second mattered to respond and limit the damage. But honestly it was so crazy that I thought it must be a false positive. I checked and rechecked everything a few times even though it seemed very obviously malicious. It wasn't a false positive. It was one of the…
Key takeaways A South Asian financial institution was targeted with two custom malware components: a modular backdoor (BRUSHWORM) and a keylogger (BRUSHLOGGER) BRUSHWORM features anti-analysis checks, AES-CBC encrypted configuration, scheduled task persistence, modular DLL payload downloading, USB worm propagation, and broad file theft targeting documents, spreadsheets, email archives, and source code The keylogger masquerades as libcurl via DLL side-loading, capturing system-wide keystrokes…
Introduction During a recent investigation, we came across a data dump containing source code, compiled binaries, and deployment scripts for the kernel rootkit components of VoidLink, a cloud-native Linux malware framework first documented by Check Point Research in January 2026. Check Point's analysis revealed VoidLink to be a sophisticated, modular command-and-control framework written in Zig, featuring cloud-environment detection, a plugin ecosystem of over 30 modules, and multiple rootkit…
Preamble Security investigations rarely stay confined to a single host. Today’s attackers increasingly use automation and AI to compress multi-stage attacks into minutes, turning what once unfolded over days into coordinated activity across endpoints, identities, workloads, and cloud services within minutes. While many attacks begin on an endpoint, investigators must quickly determine how that activity spreads across the environment. In many environments, per-endpoint licensing limits how…
The term Agentic SOC (Security Operations Center) is one of the most popular concepts in security today. But what does it truly mean in practice, and how does Elastic Security approach this next evolution of security operations? In simple terms, an Agentic SOC is a security operations center that has deployed AI Agents and corresponding AI Agent Skills to perform SOC-related workflows such as detection engineering, alert triage, incident investigation, escalation, response, and threat hunting.…
Preamble The landscape of cybersecurity is evolving, and the role of the Detection Engineer (DE) is more critical and demanding than ever. Traditionally, this role involves a comprehensive, end-to-end workflow: from threat modeling and telemetry tuning to writing, testing, and maintaining performance-optimized detection rules to flag malicious behavior. Elastic Security is purpose-built to streamline this entire workflow, empowering DEs - and anyone involved in security operations - to build,…
Get started with Elastic Security from your AI agent Elastic Agent Skills are open source packages that give your AI coding agent native Elastic expertise. If you're already using Elastic Agent Builder, you get AI agents that work natively with your security data. Agent Skills are for the other side: bringing that same Elastic Security knowledge to the external AI tools your team already uses, like Cursor, Claude Code, or GitHub Copilot. If you use an AI coding agent and want to evaluate…
At the core of Elastic Security lie outstanding detection capabilities, allowing users to create, test, tune, manage, deploy detection rules, as code, in their environments. The ability to create robust detections is critical for Security Operations as detection logic elevates threat signal from the telemetry noise. This article highlights how Elastic's new Terraform resources for security detection rules and exceptions expand practitioners' capabilities for detection-as-code deployment. Below…
GreyNoise intelligence is now available across the CrowdStrike Falcon platform, bringing internet-wide scanning context to SIEM queries, SOAR workflows, and AI-driven triage.