AI FOR SECOPS · SOC AUTOMATION · ALERT TRIAGE · THREAT HUNTING

AI For SecOps — Automate the SOC, Empower the Analyst

Fortinet AI for SecOps reduces analyst workload by automating alert triage, enriching incidents with threat context, and guiding investigation workflows — allowing your security team to handle more threats with the same (or smaller) team.

80% Reduction
Mean time to investigate
24/7 AI
Powered monitoring
MITRE ATT&CK v15
Aligned detection coverage
L1→L3
Analyst capability lift

Fortinet AI for SecOps Capabilities

From automated triage through analyst skill augmentation — AI transforms every stage of the SOC workflow.

Automated Alert Triage

Fortinet AI evaluates incoming alerts against behavioral baselines, threat intelligence, and historical patterns — automatically classifying them as true positive, false positive, or needs investigation. L1 analysts receive pre-triaged queues with context, not raw alert floods. Reduces triage time from hours to minutes.

AI-Powered Threat Hunting

AI-driven threat hunting proactively searches for TTPs matching MITRE ATT&CK patterns in your environment — without waiting for alerts. Analysts define hunting hypotheses ("Are there signs of T1078 Valid Accounts abuse?") and FortiAI scans across NGFW, EDR, identity, and email logs automatically.

Incident Enrichment

Every incident is automatically enriched with threat intelligence context (FortiGuard), asset inventory data (what is this device? what does it do?), user risk score, and historical context (has this IP been seen before?). Analysts receive a complete incident picture — reducing investigation time from 30+ minutes to under 5 minutes.

SOAR Playbook Automation

AI-triggered SOAR playbooks execute response actions without analyst intervention for high-confidence threats: FortiGate IP block, FortiEDR endpoint isolation, Active Directory account disable, Jira ticket creation, and stakeholder notification. Containment begins in seconds, not hours.

SOC Metrics & Analytics

AI-generated weekly SOC performance reports: mean time to detect (MTTD), mean time to respond (MTTR), alert-to-incident conversion rate, false positive rate by source, and analyst workload distribution. Data-driven insights for SOC improvement and management reporting.

Analyst Skill Augmentation

FortiAI's NLP interface allows L1 analysts to perform L3-equivalent investigations by guiding them through investigation steps in plain language. "What should I check next for this phishing alert?" returns a structured investigation checklist. Closes the skills gap without expensive L3 hiring.

AI Impact on SOC Operations

The transformation from alert-flooded SOC to AI-augmented operations centre.

Before AI

  • L1 spends 80% of time on false positives
  • Mean time to investigate: 45–90 minutes
  • Threat hunting done monthly at best
  • Analyst burnout from alert flood
  • L3 skills needed for every incident
  • Coverage gaps at nights and weekends

After AI

  • L1 focuses on high-confidence true positives
  • MTTI reduced to under 10 minutes
  • Continuous AI-driven threat hunting 24/7
  • Alert fatigue reduced by 60–80%
  • L1 guided to perform L3 investigations
  • 24/7 automated monitoring with human oversight

Why Build AI SecOps with Ogma

AI for SecOps is only as effective as the SOC architecture underneath it. Ogma builds both layers.

SOC Architecture Expertise

Ogma designs and builds SOCs — from tool selection and integration through SOAR playbook development and analyst training. AI for SecOps is most effective when the underlying SOC architecture (log sources, correlation rules, escalation workflows) is sound.

Playbook Development

SOAR playbooks require careful design to avoid false-positive automated actions. Ogma's playbook library — built from real incident response experience — covers the most common Indian enterprise threat scenarios (ransomware, BEC, insider threat, cloud credential abuse).

Continuous Tuning

AI for SecOps requires ongoing tuning as your environment evolves. Ogma provides quarterly SOC health reviews — analyzing detection coverage, false positive rates, and playbook effectiveness — and tuning AI models to maintain high signal quality.

Ogma AI SecOps Deployment Process

A structured four-phase approach from SOC assessment through live AI-powered operations.

1
SOC Assessment

Evaluate current log sources, alert volume, triage workflow, and analyst capacity. Identify top alert fatigue sources and high-value hunting gaps.

2
AI Integration

Connect FortiAI to existing Security Fabric (FortiSIEM, FortiAnalyzer, FortiGate, FortiEDR). Configure alert enrichment pipelines and behavioral baseline learning period.

3
Playbook Design

Develop SOAR playbooks for top 10 alert types. Define automation thresholds (auto-block vs auto-notify vs analyst review). Test playbooks in sandbox before production activation.

4
Go-Live & Tuning

Enable AI triage and playbook automation. Monitor false positive rates daily for first 4 weeks. Tune behavioral models and alert thresholds. Establish SOC KPI baseline.

Frequently Asked Questions

FortiAI for Cybersecurity covers the broader threat detection, predictive analytics, and generative AI capabilities in the Fortinet Security Fabric. AI for SecOps specifically focuses on SOC workflow optimization — alert triage, incident investigation workflow, SOAR automation, and analyst augmentation. In practice, they work together: FortiAI's detection powers the SecOps triage and response automation.

Based on Ogma's implementations, AI-powered triage typically reduces actionable alert volume by 60–80% through false positive suppression and correlation. Mean time to investigate drops from 45–90 minutes (manual enrichment + tool switching) to under 10 minutes (pre-enriched AI incident). For a 3-analyst SOC currently overwhelmed, this can effectively double capacity without additional hires.

No — it augments it. FortiAI for SecOps works alongside FortiSIEM (the SIEM) — using AI to process and prioritize the events FortiSIEM correlates. The SIEM provides the data aggregation, log storage, and compliance reporting. FortiAI adds the intelligence layer on top: behavioral analysis, automated triage, NLP queries, and SOAR orchestration.

Yes. FortiSIEM (the underlying platform for SecOps) accepts logs from 500+ vendors via syslog, API, and agent. FortiSoar (SOAR) integrates with Jira, ServiceNow, PagerDuty, Slack, and hundreds of other tools via connectors. The AI capabilities work across this heterogeneous environment — not just Fortinet products.

FortiAI for SecOps maps detection coverage to MITRE ATT&CK v15. FortiGuard research continuously adds detection rules for new TTPs as threat actors evolve. FortiSIEM's ATT&CK matrix view shows your detection coverage vs gaps — helping prioritize new log source onboarding to cover uncovered techniques. Ogma uses this coverage map during SOC assessments to identify high-priority detection gaps.

For zero-day threats, FortiAI relies on behavioral detection rather than signature matching. If a new attack technique causes anomalous user behaviour (impossible travel, access to unusual systems), unusual network traffic (new outbound connections, DNS to newly registered domains), or unexpected process execution, FortiAI's UEBA detects the deviation from baseline — even without a specific signature for the new threat.

FortiAI for SecOps delivers significant value even for a 2–3 analyst SOC team — primarily through alert reduction and investigation acceleration that prevent analyst burnout and coverage gaps. For teams considering AI-assisted SOC expansion, Ogma offers a hybrid model: AI automation handles tier-1 monitoring 24/7, human analysts handle tier-2 investigation during business hours, with on-call rotation for tier-3 escalation overnight.

Transform Your SOC with Fortinet AI

Ogma designs AI-powered SecOps workflows — from alert triage automation to threat hunting — that let your analysts focus on real threats.