Elastic vs Fortinet
Relationship
Elastic Security and FortiMail do comparable work on threat detection and response; both also serve buyers who need to detect and respond to security threats; larger scale (public).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
4 of 9 capabilities — Shares data analysis, evaluation and observability, threat detection and response and 1 more.
Ludbee capability tags · from the product recordsShared product type — Both ship application and platform.
Ludbee product recordsLarger scale — Fortinet: $124.8B market cap, against Elastic's $10.2B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 4
Not verified for Fortinet · 5
Recorded for Elastic. Fortinet’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Elastic · 2
Recorded for Fortinet. Elastic’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Elastic
Application
An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.
GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.
Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.
Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.
Platform
A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.
Fortinet
Application
AI orchestration platform automating security and network operations: alert triage/investigation, network configuration validation, and threat hunting, integrated across Fortinet's management products.
Discovers, controls and governs AI use across enterprise environments: shadow-AI detection (6,500+ AI application URLs), AI-application visibility (FortiView for AI), and AI-workload data-loss prevention.
Cloud-native data-loss-prevention agent combining machine-learning content/context analysis with a GenAI-powered assistant that summarizes and contextualizes incidents for insider-risk and data-egress protection.
Email security gateway combining machine learning, LLM-based content analysis and image recognition to detect phishing, BEC and other threats across the email lifecycle.
Uses AI-based behavioural analysis of network traffic to detect lateral movement, data exfiltration and privilege escalation without endpoint agents, sold as on-premises appliances and VMs or as FortiNDR Cloud.
Sandbox appliance/service for zero-day and advanced-threat detection, using AI-powered analysis (a purpose-built ML engine plus artificial neural networks) alongside static and dynamic analysis to accelerate verdicts.
Platform
Applies AI/ML analysis to telemetry from Fortinet network devices to detect pattern anomalies and automate network troubleshooting.
No counterpart
Elastic sells these in a stack layer with no product recorded for Fortinet yet — nothing on the other side to compare them against.
Agent platform
A builder for custom AI agents that answer questions and take actions over data indexed in Elasticsearch, using configurable tools, skills and prompts.
An automation engine that runs both scripted steps and AI agents which reason through investigations and execute response actions against data in Elasticsearch.
Model API
Hosted inference endpoint that runs Elastic-managed LLMs, the ELSER sparse-embedding model and third-party embedding models for ingest, search and chat without provisioning ML nodes in a customer's own Elasticsearch deployment.
Fortinet sells these in a stack layer with no product recorded for Elastic yet — nothing on the other side to compare them against.
Infrastructure service
A runtime security proxy deployed between applications and LLM endpoints that blocks prompt injection, jailbreaking, model poisoning and excessive-consumption attacks and enforces context-aware data-loss prevention on AI traffic.