Fortinet is deepening AI integration in its cybersecurity and networking platform with new FortiAI enhancements. The updates are designed to improve protection against emerging threats, automate routine operations, and support secure adoption of generative AI tools within organizations.
As enterprises grow more reliant on AI-driven services, they face an evolving threat landscape where attackers are also leveraging AI to bypass defenses and accelerate attacks. At the same time, companies must protect their own AI systems and data from manipulation, leakage, and unauthorized access. Fortinet’s expanded AI capabilities are aimed at addressing both sides of this equation—defending against AI-powered threats and securing internal AI use.
Integrated AI for Security and Network Operations
The FortiAI expansion builds on Fortinet’s long-standing AI research and now stretches across the entire Security Fabric. New features introduced under the FortiAI-Assist and FortiAI-Protect solutions deliver enhanced automation, intelligent threat detection, and proactive defense. FortiAI-Assist brings together generative AI, agentic AI, and AIOps to support network and security teams with intelligent automation. It introduces agent-based capabilities that reduce the need for manual intervention in day-to-day operations. Key enhancements include:
Strengthening Detection and Control of AI Services
FortiAI-Protect focuses on identifying and mitigating threats tied to the growing use of AI applications, particularly GenAI. New capabilities are designed to increase visibility and control while refining detection mechanisms:
Protecting AI Systems and Preserving Data Integrity
In addition to operational tools, Fortinet is introducing FortiAI-SecureAI, which applies protections across infrastructure, applications, and workloads. This layer supports cloud-native deployments, secures APIs, and helps prevent data leaks and intellectual property theft. Fortinet also emphasizes data privacy in its approach. All interactions with its GenAI assistant are processed locally, and sensitive data is masked or blocked before it reaches the AI models. No user data is used to train the LLMs, ensuring compliance with data protection requirements.
With the addition of FortiAI-Assist, FortiAI-Protect, and FortiAI-SecureAI, Fortinet is reinforcing its AI strategy with a platform-wide approach. These capabilities enable organizations to adapt to a changing digital landscape—where AI is not only a tool for transformation, but also a target and a threat vector.
