Enterprises that move toward broad AI adoption often discover that, in spite of various benefits, it also introduces new security challenges. At AI Field Day 7, Fortinet presented a clear assessment of those risks and demonstrated how the Fortinet Security Fabric and FortiAI Assist can support secure deployment of AI systems.
The Expanding AI Threat Surface
As AI tools become integrated into daily workflows, organizations lose visibility into where data travels and how it is used. As Fortinet noted, this problem appears both in public AI services and in early stage internal projects. Employees may send sensitive data to external systems without realizing the implications, and developers may overlook controls when building internal AI features. The result is a growing threat surface that traditional monitoring does not always cover.
Fortinet also highlighted the rise of AI-enabled attacks. These include faster reconnaissance, automated phishing, large-scale scanning, and other activities that become easier when attackers use their own models. This creates pressure on security teams that already handle significant alert volume.
Fortinet’s Framework for AI Security
Fortinet described its approach as a three part framework: Protect AI, Secure AI, and AI Assisted Operations. The framework uses existing Fortinet components together with new AI-driven tools.
- Protect AI focuses on detection and prevention. It combines threat intelligence from FortiGuard Labs with security products that monitor networks, files, and data movement. According to Fortinet, Protect AI serves as the foundation for defending against both conventional and AI-powered threats.
- Secure AI addresses the AI lifecycle itself. This includes protection of training data, control of model access, validation of data flows, and incorporation of security checks into deployment pipelines. The presenters stressed the need for consistent review of data paths and permissions before any AI system enters production.
- AI-Assisted Operations uses FortiAI Assist to help analysts and administrators work more efficiently. During the demo, Fortinet showed how analysts can ask natural language questions about alerts and incidents. The system retrieves context, correlates telemetry, and provides recommended actions. In this way, it doesn’t replace the analyst, but rather bolsters their investigation efforts.
Demonstrated Use Cases
The presentation covered two main operational roles to help businesses enhance their security posture with AI:
Security operations
FortiAI Assist can summarize large sets of alerts, identify related events, and present a structured view of an incident. This approach streamlines incident response processes, helping teams to remediate threats faster. Analysts can ask follow up questions such as the timeline of an event, affected assets, or recommended containment steps.
Network operations
FortiAI Assist sweeps networks as well, helping with configuration checks, validation of proposed changes, troubleshooting of user connectivity issues, and analysis of network health. Fortinet emphasized that these capabilities work best in a Fortinet environment but remain usable in mixed vendor networks through APIs.
What the Fortinet Portfolio Means for Enterprise AI Adoption
The core message was simple. AI adoption without security planning is risky. Organizations need visibility into where data moves, how models are used, and who can access sensitive workflows. Security controls must be part of the design, not an afterthought.
Fortinet presented its platform as a key method for incorporating security into AI use from square one. The approach focuses on consistent policy enforcement, thorough inspection of data flows, and AI supported operations that reduce the burden on human teams.
Overall, Fortinet’s session at AI Field Day 7 centered around a more grounded view of what secure AI deployment requires. The company avoided speculation and focused on controls that organizations can implement today. For teams planning to integrate AI into security or network workflows, the presentation offered a clear reference model that aligns with existing operational practices.
To see all of what Fortinet brought to AI Field Day 7, be sure to head to their presentation page on TechFieldDay.com
