Fortinet Unveils AI Security and SASE Services, Keeping Existing Equipment Intact
TECHWORLD ·
✦ AI Summary
Fortinet on the 5th unveiled the FortiGuard Inline AI Security Service and the FortiLink SASE Service.
The FortiGuard Inline AI Security Service is designed for FortiGate customers to respond to AI threats while keeping existing equipment in place, and FortiAIGate-based guardrails inspect prompts and data in real time.
The FortiLink SASE Service is aimed at small and distributed sites, connecting local networks to FortiSASE without on-site dedicated firewalls so security can be applied centrally.
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As enterprise use of AI expands and moves into real-world operations, the reach of large language models (LLM) and autonomous agents is also extending into sensitive data, business applications and core workflows. By contrast, existing security tools remain limited to IP inspection, signature inspection and payload inspection, leaving them unable to assess potential threats in prompts or in responses.
To address this gap, Fortinet on the 5th unveiled the FortiGuard Inline AI Security Service. The service is designed to respond to AI threats while keeping existing equipment in place, and is aimed at FortiGate customers. It also provides AI-specific inspection and guardrails, which are delivered as a cloud service.
Fortinet also unveiled the FortiLink SASE Service on the same day. The service is aimed at small business sites and is designed to protect distributed locations such as small branches and remote facilities without on-site dedicated firewalls. It simplifies protection for distributed sites.
AI-specific threats can lie dormant in prompts, model responses and communication between Model Context Protocol (MCP) tools. Such threats can trigger malicious tool calls, API calls and autonomous agent behavior.
Fortinet has made FortiGate-based security functions available in existing FortiGate environments. As a result, organizations can adopt advanced AI security functions within their existing infrastructure without having to build or manage separate AI security infrastructure.
The guardrail function based on FortiAIGate inspects prompts and data in real time. The guardrails apply across interactions with AI agents, LLMs and Model Context Protocol (MCP) tools, enforcing security, compliance and data protection policies. Beyond the existing detection of shadow AI use and the application of data loss prevention (DLP) policies for AI traffic, it also inspects the content of AI interactions and additionally provides sensitive data masking.
The FortiGuard Inline AI Security Service is based on the FortiAIGate technology, which is still under development. Components of FortiAIGate include high-performance AI guardrails, expanded access controls, compliance controls, shadow AI visibility, agent visibility and the recently acquired Virtue AI technology.
FortiAIGate plays the role of analyzing interactions between AI applications and models. It also serves as a control point that applies real-time policies by model, application, user role and business context.
The FortiLink SASE Service provides the ability to connect local networks to FortiSASE through Fortinet Wi-Fi access points (APs) and Ethernet switches. This allows organizations to apply consistent security across distributed sites without on-site FortiGate firewalls, while traffic inspection, policy enforcement and management can all be performed centrally.
The company said FortiSASE connectivity is possible across the LAN environment even without an endpoint agent installed. It also said FortiSASE integration is possible without dedicated security equipment at each site, and that wired and wireless devices, including those that cannot run FortiClient, can be protected with cloud-based security. This means FortiSASE can be applied at the local network level without separate security components for each device or site.
Michael Xie said scalable AI security is needed to keep pace with the speed of enterprise AI adoption. He proposed extending AI inspection and guardrails through FortiGate and said customers can use AI security within their existing infrastructure.
Anthony James said there is a need for flexibility in how distributed sites are protected. He said flexibility is especially important where dedicated security infrastructure and agent deployment are difficult, adding that extending FortiSASE to local networks can maintain consistent security and centralized control while simplifying user and device protection.
Source: TECHWORLD · Kim Hye-jin
Original: https://www.epnc.co.kr/news/articleView.html?idxno=409342
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Source: TECHWORLD
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