Datadog vs Fortinet
Relationship
Bits Security Analyst and FortiAI-Assist do comparable work on threat detection and response; both also serve buyers who need to detect and respond to security threats; similar scale (public).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
5 of 9 capabilities — Shares data analysis, evaluation and observability, guardrails and safety and 2 more.
Ludbee capability tags · from the product recordsShared product type — Both ship application.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 5
Not verified for Fortinet · 4
Recorded for Datadog. Fortinet’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Datadog · 1
Recorded for Fortinet. Datadog’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
Datadog
Application
Detects AI-assisted pull requests from coding assistants such as Claude Code, Cursor and GitHub Copilot and compares them on adoption, PR throughput, cycle time, change failure rate and daily cost per active user.
Conversational AI interface for querying Datadog metrics, logs, traces and monitors in natural language and generating dashboards and notebooks, accessible from Datadog, Slack or mobile.
Datadog's Infrastructure-family product for shared GPU fleets across cloud, on-prem and neocloud providers: it links device health, cost and performance to the workloads and teams using them, alerts on unmet GPU requests, thermal throttling and ECC/XID errors, forecasts GPU demand and recommends optimisations such as reclaiming GPUs held by zombie processes. The page markets alerting, forecasting and recommendations but does not name a model or AI mechanism behind them.
Datadog's built-in AI engine: it continuously analyses metrics, traces and logs across the platform to raise anomaly alerts without configuration, detect faulty deployments by comparing code versions, run automated root-cause analysis on critical failures and surface tag-based insights and impact analysis. Available inside Infrastructure Monitoring, APM, Log Management and RUM rather than sold on its own.
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.
No counterpart
Datadog sells these in a stack layer with no product recorded for Fortinet yet — nothing on the other side to compare them against.
AI agent
Coding agent that triages production errors, regressions and vulnerabilities from Datadog telemetry, generates fixes with unit tests grounded in logs, traces and runtime variables, and opens pull requests for review.
AI SRE agent that autonomously investigates every alert the moment it fires, explores multiple root-cause hypotheses in parallel and reports findings into Slack, Jira, ServiceNow or GitHub.
Always-on AI SOC analyst that autonomously triages and investigates security alerts and delivers written investigation results to Datadog, Slack or Jira within minutes.
Agent platform
No-code builder for custom AI agents that investigate, decide and act inside Datadog to automate incident response, observability, security and operational workflows.
Developer tool
Traces, evaluates and monitors LLM and AI-agent applications in production, with offline experimentation on datasets built from real traces.
Model Context Protocol server that gives AI coding agents such as Claude Code, Cursor and Codex secure real-time access to Datadog logs, metrics and traces under existing RBAC controls.
Fortinet sells these in a stack layer with no product recorded for Datadog yet — nothing on the other side to compare them against.
Platform
Applies AI/ML analysis to telemetry from Fortinet network devices to detect pattern anomalies and automate network troubleshooting.
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.