FORTIAI · GENERATIVE AI · THREAT DETECTION · SOC AUTOMATION

AI For Cybersecurity — FortiAI in Your Security Fabric

FortiAI integrates generative AI directly into the Fortinet Security Fabric — automating threat detection, accelerating incident investigation, and providing NLP-driven security guidance to analysts of all skill levels.

AI-Powered
Threat detection & response
Generative AI
NLP security assistant built in
MITRE ATT&CK
Mapped playbooks & detections
Fabric-Native
Cross-product correlation

FortiAI Capabilities

FortiAI brings generative AI and machine learning to every layer of the Fortinet Security Fabric — from detection through response.

FortiAI Threat Detection

ML-powered anomaly detection identifies threats that rule-based systems miss. FortiAI builds behavioral baselines for users, devices, and applications — flagging deviations that indicate compromise. UEBA (User and Entity Behavior Analytics) identifies insider threats and account takeover.

NLP Security Assistant

FortiAI's natural language interface allows analysts to query security data in plain English: "Show me all login attempts from India in the last 24 hours with MFA failures" returns actionable results without complex query syntax. Reduces the barrier for L1 analysts to perform L2/L3 investigations.

Automated Incident Response

FortiAI triggers automated response playbooks for detected threats — blocking attacker IPs in FortiGate, quarantining infected endpoints via FortiEDR, creating JIRA tickets, and sending alert emails — all without analyst involvement for known threat patterns. MITRE ATT&CK-mapped playbooks cover the most common attack techniques.

Predictive Security Analytics

FortiAI analyses historical attack patterns, threat intelligence feeds, and your environment's vulnerability posture to predict which assets are most likely to be targeted next. Helps security teams prioritize patching and hardening before attacks occur.

FortiGuard AI Threat Intelligence

FortiAI is powered by FortiGuard Labs — one of the world's largest threat intelligence organizations. Real-time feeds on new malware families, CVE exploits, and attacker TTPs are integrated directly into FortiAI's detection models. Over 1 million new threat samples processed daily.

Security Fabric Integration

FortiAI runs natively within the Fortinet Security Fabric — ingesting events from FortiGate (NGFW), FortiEDR (endpoint), FortiSIEM, and FortiMail. Cross-product correlation identifies multi-stage attacks that no single product sees alone.

FortiAI vs Traditional Security

The gap between AI-powered security and legacy rule-based approaches is widening rapidly.

With FortiAI

  • Detects anomalies in real-time
  • NLP queries in plain English
  • Auto-responds to 80% of known threats
  • Cross-product correlation across Fabric
  • Continuously learns from new threats
  • L1 analyst can perform L3 investigation

Without FortiAI

  • Rules-based detection misses unknown threats
  • Complex query languages require L3 expertise
  • Manual triage for every alert
  • Silos between NGFW/EDR/SIEM
  • Static rules miss evolving TTPs
  • Analyst shortage limits investigation capacity

Why Deploy FortiAI with Ogma

FortiAI's value depends on the breadth of Security Fabric integration and quality of tuning. Ogma brings both.

Security Fabric Expertise

FortiAI's value multiplies with breadth of Security Fabric deployment. Ogma's NSE 7 engineers design and integrate the full Fabric — NGFW + EDR + SIEM + Email + WAF — maximizing FortiAI's cross-product correlation intelligence.

Use Case Design

Deploying AI in security requires defining what "normal" looks like for your environment. Ogma's analysts tune FortiAI behavioral models for your specific user behaviour, application patterns, and network topology — reducing false positives to actionable signal.

SOC Enablement

FortiAI enhances analyst capability — it doesn't replace analysts. Ogma trains SOC teams on FortiAI's NLP interface, playbook customization, and investigation workflow — ensuring your team gets maximum productivity lift.

Ogma FortiAI Deployment Process

A structured four-phase approach from data source integration through SOC workflow activation.

1
Data Source Integration

Connect FortiAI to Security Fabric components: FortiGate logs, FortiEDR telemetry, FortiMail events, FortiSIEM correlation engine. Broader data sources = richer AI context.

2
Baseline Learning

FortiAI's ML engine establishes behavioral baselines for users, devices, and applications over a 2–4 week observation period. Normal patterns established before anomaly detection enabled.

3
Playbook Configuration

Define automated response playbooks for high-confidence threats. Review FortiAI's MITRE ATT&CK-aligned playbook library. Customize escalation paths and notification channels.

4
SOC Integration

Integrate FortiAI alerts into SOC workflows. Configure ticket creation (Jira/ServiceNow), analyst dashboard setup, and weekly AI-generated threat digest reports.

Frequently Asked Questions

FortiAI is Fortinet's generative AI platform for cybersecurity, integrated natively into the Security Fabric. Unlike traditional security AI (static ML models for specific signals), FortiAI uses large language model capabilities for natural language security queries, cross-product correlation, and generative playbook recommendations. It also includes traditional ML-based UEBA (User and Entity Behavior Analytics) for behavioral anomaly detection.

No. FortiAI capabilities are integrated into existing Fortinet products — FortiSIEM (UEBA and AI-powered correlation), FortiAnalyzer (AI-driven insights), FortiEDR (ML endpoint detection), and FortiGuard threat intelligence (AI-processed global threat data). Some advanced FortiAI GenAI features require a specific FortiAI license add-on. Ogma will advise on the licensing model during the assessment.

FortiAI's NLP interface accepts plain English security questions and translates them to the appropriate backend queries across Security Fabric components. For example: "Are there any devices communicating with known C2 infrastructure this week?" returns a report combining FortiGate DNS logs, FortiEDR network connections, and FortiGuard threat intel — without the analyst knowing the underlying data model.

Yes. FortiAI's correlation engine reduces raw events to high-fidelity incidents by correlating across products (NGFW + EDR + Email + Identity) and filtering false positives using behavioral baselines. For organizations currently drowning in thousands of daily alerts, FortiAI typically reduces actionable alert volume by 60–80%, allowing analysts to focus on genuine threats.

FortiAI maps detected threats to MITRE ATT&CK techniques — providing analysts with context on what the adversary is trying to do (initial access, lateral movement, exfiltration) rather than just what alert fired. Automated response playbooks are organized by ATT&CK tactic, allowing targeted defensive actions aligned to the adversary's kill chain stage.

FortiAI's predictive capabilities identify high-risk assets based on factors: unpatched CVEs, unusual access patterns, exposure to known threat actor TTPs, and asset criticality. While it cannot predict the exact timing of attacks, it helps security teams prioritize hardening efforts on assets most likely to be targeted — converting reactive security posture to proactive risk reduction.

FortiAI processes security telemetry (logs, events, network metadata) from Fortinet Security Fabric components in your environment. Data is processed within your FortiSIEM/FortiAnalyzer deployment (on-premise or private cloud) — not sent to Fortinet's cloud unless FortiAnalyzer Cloud is used. FortiGuard threat intelligence is cloud-fed but contains no customer data.

Bring AI to Your Cybersecurity Operations

FortiAI automates threat detection, accelerates investigation, and reduces alert fatigue — integrated into your existing Fortinet Security Fabric.