Best AI Cybersecurity Platforms for Elasticsearch

Find and compare the best AI Cybersecurity platforms for Elasticsearch in 2026

Use the comparison tool below to compare the top AI Cybersecurity platforms for Elasticsearch on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    SOCRadar Extended Threat Intelligence Reviews
    See Platform
    Learn More
    SOCRadar Extended Threat Intelligence is a holistic platform designed from the ground up to proactively detect and assess cyber threats, providing actionable insights with contextual relevance. Organizations increasingly require enhanced visibility into their publicly accessible assets and the vulnerabilities associated with them. Relying solely on External Attack Surface Management (EASM) solutions is inadequate for mitigating cyber risks; instead, these technologies should form part of a comprehensive enterprise vulnerability management framework. Companies are actively pursuing protection for their digital assets in every potential exposure area. The conventional focus on social media and the dark web no longer suffices, as threat actors continuously expand their methods of attack. Therefore, effective monitoring across diverse environments, including cloud storage and the dark web, is essential for empowering security teams. Additionally, for a thorough approach to Digital Risk Protection, it is crucial to incorporate services such as site takedown and automated remediation. This multifaceted strategy ensures that organizations remain resilient against the evolving landscape of cyber threats.
  • 2
    NeuBird Reviews

    NeuBird

    NeuBird

    $0 to get started
    2 Ratings
    See Platform
    Learn More
    NeuBird AI is a Production Ops Platform designed for ITOps, SRE, and DevOps teams running production cloud environments. It uses agentic AI to move operations from reactive incident response to proactive, autonomous production management. Despite significant investment in monitoring and observability tools, teams still face alert noise, slow root cause analysis, and costly incidents. NeuBird AI solves this by continuously analyzing telemetry across cloud services, applications, and infrastructure to prevent issues, resolve incidents faster, and optimize operations. Prevent incidents before they happen NeuBird AI detects early signals of degradation, configuration drift, and anomaly patterns across metrics, logs, traces, and change events. Teams can identify and address issues 30 to 60 minutes before user impact while reducing alert noise by more than 78 percent. Resolve incidents in minutes When incidents occur, NeuBird AI automatically investigates across Azure Monitor, Amazon CloudWatch, logs, metrics, traces, and recent changes to identify root cause in minutes. AI driven triage, correlation, and runbook generation reduce mean time to resolution by up to 60 percent while minimizing the need for large war room responses or bridge calls. Optimize cost, performance, and operations NeuBird AI continuously analyzes cloud environments to uncover cost savings, performance issues, and gaps in observability. It identifies right sizing opportunities, missing telemetry, and repetitive operational tasks, helping teams reclaim more than 200 engineering hours per month. Built for production cloud operations NeuBird AI integrates with AWS services including CloudWatch, as well as Kubernetes and Azure Monitor, and tools like Datadog, Splunk, and PagerDuty.
  • 3
    Vega Reviews
    Vega is an innovative, AI-native platform for federated security analytics designed to provide security operations teams with comprehensive visibility, detection, investigation, and response capabilities across their security data without the need for expensive data migration or centralized ingestion. Its Security Analytics Mesh (SAM) empowers analysts to effortlessly access and query data regardless of location, including SIEMs, data lakes, cloud services, and cold storage, utilizing natural language or query languages to eliminate blind spots and minimize costs and maintenance while enhancing coverage. The platform offers AI-driven detections, automated triage, and correlation of alerts across various environments, allowing teams to create, deploy, and refine detection rules once and apply them universally. In addition to these benefits, Vega continually optimizes alerts to decrease unnecessary noise, reveals overlooked security vulnerabilities, and seamlessly integrates with existing security ecosystems through a variety of pre-built connectors. With its ability to streamline security operations, Vega stands out as a crucial tool in enhancing organizational security posture.
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB