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AI Tool Comparison

Comparing as AI Threat Detection & SIEM
Darktrace vs Exabeam

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

Darktrace

Darktrace

VS
Exabeam

Exabeam

Verdict by Category

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View Darktrace View Exabeam

Detailed Comparison

Feature
Darktrace
Exabeam
Pricing
EnterpriseDarktrace does not publish public pricing. All contracts require direct sales engagement typically beginning with a Proof of Value (PoV) deployment period. Enterprise pricing is custom based on organization size, device count, selected platform modules (Network, Email, Cloud, Identity, OT, Endpoint, Secure AI), and deployment complexity. Reference pricing from verified buyer reports: approximately $30,000\u2013$100,000+/year for mid-size organizations, scaling to $500,000+/year for large enterprises with multi-module deployments. Contact Darktrace through darktrace.com to request a free PoV deployment and enterprise pricing discussion.
PaidExabeam uses quote-based, volume-driven pricing based on data ingested per day (GB/day). There is no publicly posted list price \u2014 all contracts require direct engagement with Exabeam\u2019s sales team. A Forrester Total Economic Impact study commissioned by Exabeam modeled a composite New-Scale Fusion customer spending approximately $1.08 million over three years, including $75,000 in implementation fees and ~$147,000 in training and ongoing internal effort, with 245% ROI demonstrated in the study. New-Scale (cloud) pricing is based on ingestion volume and retention period. LogRhythm SIEM (on-premises) uses component-based licensing. Volume discounts apply for larger ingestion commitments. Contact Exabeam through exabeam.com for a personalized quote.
Categories
AI Cybersecurity ToolsAI Productivity Tools
AI Cybersecurity ToolsAI Productivity Tools
Summary
Self-Learning AI cybersecurity — detects zero-day and insider threats without signatures across 7 domains
AI-native SecOps platform with UEBA, Nova AI agents, and Agent Behavior Analytics for the agentic enterprise
Darktrace

Darktrace Pros & Cons

Pros

  • Self-Learning AI detects zero-day, insider, and AI-driven threats without signatures — uniquely catches novel threats rule-based systems miss
  • 7-domain coverage: Network, Email, Cloud, Identity, OT, Endpoint, Secure AI — broadest cross-domain protection in AI security
  • Cyber AI Analyst automates 92% of manual SOC investigation — biggest analyst burden reduction in the market
  • Gartner Magic Quadrant Leader for NDR 2026 — highest analyst recognition in network detection and response
  • Autonomous Response stops threats at machine speed without human approval — critical for ransomware and fast-moving attacks
  • OT/ICS coverage — one of few enterprise AI platforms with deep operational technology and critical infrastructure protection
  • $5.32B Thoma Bravo acquisition + $200M US investment in 2026 — strong financial backing and growth momentum

Cons

  • Taken private by Thoma Bravo ($5.32B, Oct 2024) — reduced public transparency vs publicly traded competitors
  • Third CEO in under 3 years (Ed Jennings, March 2026) — leadership instability raises questions
  • Initial 1-2 week learning period before Self-Learning AI baselines stabilize — higher false positives initially
  • No public pricing — enterprise contracts only, typically $30K–$100K+/yr for mid-size organizations
  • Less integrated AppSec/DevSecOps coverage vs CrowdStrike Falcon or Palo Alto XSIAM
Exabeam

Exabeam Pros & Cons

Pros

  • UEBA pioneer — deepest behavioral analytics and dynamic risk scoring of any SIEM platform, including industry-first Agent Behavior Analytics for AI agents
  • Exabeam Nova AI agents cut investigation times by over 50% with autonomous TDIR automation
  • Smart Timelines eliminate manual correlation — reconstructs complete attack story automatically from raw log events
  • Dual deployment — cloud-native New-Scale Fusion + on-premises LogRhythm SIEM gives flexibility no other combined SIEM vendor offers
  • Gartner Magic Quadrant Leader for SIEM (2025) — consistent analyst recognition
  • 3,000+ enterprise customers including financial services, healthcare, and government — proven at regulated industry scale
  • July 2026 Anthropic Claude observability — most forward-looking AI agent security monitoring in the SIEM market

Cons

  • Quote-based pricing with no public list price — evaluation requires sales engagement; Forrester composite customer spent $1.08M over 3 years
  • Still integrating LogRhythm merger (2024) with new CEO (Oct 2025) — product roadmap consolidation ongoing
  • Smaller ecosystem than Splunk’s 2,800+ Splunkbase apps — fewer third-party community detection packs
  • ~875 employees is smaller than Splunk or Microsoft — less enterprise-scale support capacity
  • KQL/SPL migration burden for organizations coming from Splunk — different query language and workflow retraining required