AI/ML, Security Management, Cloud Security, Data Security

Fortinet Boosts AI Capabilities Across Security Fabric Platform

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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:

  • Autonomous Network Management: Through GenAI-driven assistants, network teams can generate and validate configurations, correct policy errors, and resolve issues without direct input.
  • Predictive Troubleshooting and Optimization: Leveraging AIOps and GenAI, the system can anticipate problems across wired, wireless, and SD-WAN networks and suggest remediations before disruptions occur.
  • Automated Alert Handling: FortiAI filters and prioritizes alerts based on risk context, reducing noise and focusing analyst attention where it’s needed most.
  • Adaptive Threat Hunting and Root-Cause Analysis: AI continuously scans data for signs of attack and uses reasoning to trace incidents back to their source.
  • Threat Intelligence Enrichment: By correlating behaviors and tactics, FortiAI refines detection and helps organizations stay ahead of attackers.

    • 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:

    • AI Application Monitoring: Security teams can now detect usage of over 6,500 AI-related URLs, gaining insight into model types, data paths, and application purposes.
    • Usage Control and Policy Enforcement: Zero-trust policies can block unauthorized or risky AI tools, enabling organizations to manage shadow AI risks more effectively.
    • Enhanced Malware Detection: AI models are continuously trained on large data sets to identify new malware signatures and tactics.
    • Smarter IPS: Machine learning-driven IPS updates allow for more accurate threat identification and response, even as attacker methods evolve.

      • 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.

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      Suparna Chawla Bhasin

      Suparna serves as Senior Managing Editor for CyberRisk Alliance’s Channel Brands, including MSSP Alert and ChannelE2E.  She plays a key role in content development, optimizing editorial workflows, aligning storytelling with audience needs, and collaborating across teams to deliver timely, high-impact content. Her background spans technology, media, and education, and she brings a unique blend of strategic thinking, creativity, and executional excellence to every project.

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