As modern networks continue to expand across distributed branches, hybrid workplaces, and cloud-connected infrastructures, the operational burden on IT teams is only intensifying. Alert fatigue, complexity in troubleshooting, and gaps in wireless visibility often delay remediation and drive-up operational costs.
With FortiAIOps 3.0, Fortinet set a new benchmark—moving network operations from reactive fault monitoring to predictive, context-aware intelligence. Now, with the release of FortiAIOps 3.2, this evolution goes even further.
FortiAIOps 3.2 introduces a suite of advanced capabilities designed to strengthen wireless intelligence, automate resource optimization, and deliver deeper end-to-end visibility across both infrastructure and client experiences. Enhanced AI-driven analytics, richer Wi-Fi insights, and expanded monitoring ensure that IT teams can troubleshoot faster, anticipate issues earlier, and maintain higher service quality across the board.
Let’s explore what’s new in FortiAIOps 3.2 and how it further reshapes the network operations.
AI Intelligence in Wireless Channel Planning: Introducing AI-ARRP
With AI-ARRP enabled on the FortiGate, FortiAIOps activates its powerful AI-ARRP engine—an advanced RF intelligence system built to take the guesswork out of wireless channel planning. Rather than depending on static rules or occasional RF scans, AI-ARRP continuously learns from real-time and historical RF conditions, analyzing everything from noise and utilization to interference patterns. The result? Highly optimized, automatically selected channels for every FortiAP radio, tuned for peak performance.
But what makes AI-ARRP truly intelligent? Let’s take a closer look
Continuous RF Intelligence Gathering
AI-ARRP collects detailed RF statistics from each FortiAP radio every minute across all available channels. This creates a rich baseline of noise levels, interference patterns, channel utilization, and other factors that influence Wi-Fi performance.
Deep Analysis with Predictive Insights
All the data gathered is aggregated and evaluated against both real-time conditions and up to two weeks of historical RF trends. This allows AI-ARRP not only to assess how each channel is performing now, but also to provide a forecast view of the current operating channel for the next day, across all hours.
Smart Validation during Channel Planning
When FortiGate reaches the scheduled DARRP window, AI-ARRP runs a series of intelligent checks to ensure any recommended channel is both optimal and compliant. This includes validating:
- Channel availability for the specific AP profile
- Country-specific regulatory requirements
- Non-overlapping channel and bonding constraints
- Any SLA issues or radar/DFS events that would disqualify the channel
- These safeguards help ensure that channel changes improve performance, not disrupt it.
- Data-Driven Channel Selection
AI-ARRP then scores each channel based on key RF metrics such as noise, utilization, interference sources, rogue AP presence, and spectral RSSI. The highest-scoring channel is forwarded to the FortiGate, which applies it to the APs during their next planning cycle.
Smarter Wireless through Automation
By blending minute-level RF measurements with long-term historical patterns, AI-ARRP offers an exceptionally accurate and dynamic approach to wireless optimization. The result is cleaner channels, reduced interference, and more predictable performance—without manual tuning or guesswork.
Simplified Deployment through FortiManager Integration
FortiAIOps now integrates seamlessly with FortiManager, making onboarding and management of distributed FortiGates far easier. By leveraging the existing FGFM tunnels used between FortiManager and its managed FortiGates, FortiAIOps can automatically discover and add these devices—eliminating the need for manual, one-by-one onboarding.
This streamlined approach is especially beneficial for large or remote deployments where both FortiManager and FortiAIOps operate from a centralized NOC. The result is faster deployment, reduced operational effort, and a more integrated, single-pane management experience across the entire Fortinet ecosystem.
AI-powered packet capture and diagnostics
With this release, packet captures can now be initiated directly from FortiGate interfaces as part of automated issue detection and remediation workflows. This makes troubleshooting faster and more precise by capturing traffic exactly when a problem occurs. The FortiAI Agent can then analyze these packet captures—whether newly generated or previously collected—and provide meaningful, human-readable explanations in response to natural-language queries. Users can upload historical captures as well, enabling the AI agent to assist with deeper diagnostics and post-incident investigations.
Enhanced Wi-Fi Maps
The new Wi-Fi Maps feature delivers a modernized UI, real-time AP visibility, and compatibility with Ekahau for seamless import/export of. esx planning files. Users can edit sites, floors, and make AP placements to instantly see key metrics like Throughput, Channel Utilization, Client count, discards and Tx power on floor plans. An enhanced Locate function now lets you quickly find the exact position of any AP or wireless client across the network.
FortiExtender Monitoring and Diagnostics
This release adds a new Managed FortiExtenders window that offers a unified, network-wide view of all FortiExtender devices. It provides both high-level summaries and detailed diagnostics, including cellular plan information (name, modem, carrier, APN, capacity, cost, billing date, plan type), FortiGate associations (IP address, serial number, VDOM), and configuration profile details (profile name, model, mode). The dashboard also presents real-time operational insights—including SIM status, modem information, and key environmental metrics like CPU utilization, memory usage, and temperature—giving administrators a comprehensive view of FortiExtender health and performance. Along with live data, it provides historical, long-term trend graphs to support deeper analysis and informed decision-making.
Advanced Alert Acknowledgement
A new Alert acknowledgement feature is added that helps you manage false positives and reduce noise in network monitoring. You can now mark known or non-critical alerts as acknowledged, preventing them from generating repeated notifications or affecting SLA calculations. When an alert results from a predictable behaviour, you can acknowledge it to confirm that it’s already accounted for and does not require action.
Enhanced Wired & Wireless Visibility With AI-Driven Insights
This release introduces several upgrades to wired & wireless monitoring. When drilling down into individual APs or switches, new AI-driven insights are now displayed, making it easier to spot any SLA violations. Wireless client pages also include additional, meaningful visualizations—particularly additional charts for RSSI and data rates.
At the global level, the dashboard now includes a new chart that groups clients by their 802.11k/v/r capabilities, offering clear visibility into potential roaming-related issues within the network.
Conclusion: FortiAIOps That Continues to Evolve
FortiAIOps 3.2 builds on the strong foundation of 3.0—expanding AI intelligence, refining the wireless experience, and deepening operational insights across the entire network fabric. With AI-driven radio provisioning, enriched Wi-Fi visualization, proactive client monitoring, and improved diagnostics for both wired and cellular WAN, this release pushes network operations closer to self-healing, self-optimizing infrastructure.
As networks grow more distributed and user expectations rise, the need for automated, predictive, and contextual operations has never been clearer. FortiAIOps 3.2 is not just an upgrade—it’s the next step toward intelligent, autonomous network operations.
