Fortinet® has unveiled significant enhancements for its FortiEndpoint platform, aimed at facilitating the secure integration of artificial intelligence (AI) within enterprise environments.
The latest updates to FortiEndpoint are designed to optimize AI visibility and control, reinforce data security, and streamline risk management, enabling security teams to better regulate AI usage and safeguard sensitive information.
Enhancing Security Operations
With the introduction of AI-driven visibility and operations, native data security measures, and endpoint risk scoring into FortiEndpoint, Fortinet empowers organizations to enhance security governance. The platform's integration simplifies security operations across distributed networks by merging essential security and networking features in a single system.
Michael Xie, Founder, President, and CTO of Fortinet, elaborated, "Organizations need a simpler and more effective way to manage security as their environments become more complex and AI-enabled. The Fortinet Security Fabric is designed to converge critical security and networking functions across the enterprise, helping customers reduce complexity, improve visibility, and strengthen protection." FortiEndpoint is an extension of this strategy, promising a unified solution through one agent, one console, and one license.
Adapting to Evolving Risks
FortiEndpoint's new features are pivotal in defining Fortinet's security approach in the AI age
The advancement of embedded AI in workplaces demands enhanced visibility, governance, and security to mitigate endpoint risks. Fortinet's solution addresses these challenges by integrating capabilities such as AI visibility, secure access, data protection, and operation assistance into FortiEndpoint. This integration allows endpoint telemetry to enhance security measures, thereby improving adaptive access and organizational visibility.
FortiEndpoint's new features are pivotal in defining Fortinet's security approach in the AI age, particularly in securing AI applications at the endpoint level. Organizations are provided with a centralized overview of AI tool usage, facilitating the identification of shadow AI and unauthorized applications. Security policies can be tailored to allow, restrict, or block applications based on security and compliance needs, ensuring responsible AI adoption while mitigating data exposure and policy breaches.
Addressing Insider Risk
To curb risks associated with AI-driven data exposure, FortiEndpoint incorporates native Data Loss Prevention (DLP) capabilities. These are designed to inspect sensitive data interactions with AI tools, offering user guidance on secure AI practices. Such measures protect sensitive information, including personal, intellectual, and financial data, directly at the endpoint, hence supporting comprehensive data security and adherence to compliance regulations without the need for additional products.
FortiEndpoint incorporates native Data Loss Prevention (DLP) capabilities
FortiAI-Assist, embedded in FortiEndpoint, aims to simplify administrative tasks and boost daily security operations. Using natural language processing, the platform aids in event investigation, summarizing findings, identifying high-risk devices, and resolving issues efficiently. This unification assists security teams in strengthening governance, prioritizing threats, and improving operational efficiency through dynamic risk assessment and zero-trust capabilities.
Managing AI Risk
Industry analysts have acknowledged the importance of Fortinet's integrated strategy, especially as companies seek effective methods to manage AI risks without adding complexity.
Chris DePuy, Technology Analyst at 650 Group, remarked on the significance of Fortinet's approach: "Fortinet is addressing what many CISOs need now: visibility into AI usage, control over sanctioned and unsanctioned tools, protection against sensitive data leakage, and real-time coaching to help employees use AI responsibly."
Fortinet®, the global cybersecurity pioneer driving the convergence of networking and security, announces new capabilities for its unified endpoint platform, FortiEndpoint, designed to help organizations securely adopt AI, protect sensitive data, and reduce risk.
By bringing AI visibility and control, native data security, endpoint risk scoring, and FortiAI-assisted operations into FortiEndpoint, Fortinet enables security teams to better govern AI usage, reduce sensitive data exposure, enforce risk-aware access, and simplify security operations across distributed environments.
Converge critical security
“Organizations need a simpler and more effective way to manage security as their environments become more complex and AI-enabled. The Fortinet Security Fabric is designed to converge critical security and networking functions across the enterprise, helping customers reduce complexity, improve visibility, and strengthen protection. With FortiEndpoint, we are extending that strategy by consolidating security, secure access, data security, AI visibility, and assisted operations in a unified endpoint platform, delivered through one agent, one console, and one license,” said Michael Xie, Founder, President, and CTO at Fortinet.
Strengthening adaptive access
As agents and AI-enabled applications become embedded in everyday work, organizations need better visibility, stronger governance, and integrated protection to securely enable AI while reducing endpoint risk and protecting sensitive data. These needs are even more urgent as threat actors move faster and use increasingly sophisticated techniques to exploit gaps across users, devices, applications, and data. The pressure security teams are facing is compounded by fragmented tools across protection, detection and response, secure access, and data security, which can slow security teams and limit visibility.
FortiEndpoint builds on the consolidation strategy previewed at Fortinet Accelerate 2026 by bringing AI visibility and governance, endpoint protection, detection and response, secure remote access, native data security, and FortiAI-assisted operations together through one agent, one console, and one license. Through integration with the Fortinet Security Fabric, endpoint telemetry and risk context can inform connected security controls, strengthening adaptive access, policy enforcement, and enterprise-wide visibility.
Data security requirements
These capabilities help define Fortinet’s approach to endpoint security for the AI era, advanced through three key areas of innovation:
Securing AI Use at the Endpoint - FortiEndpoint provides centralized visibility and control over sanctioned and unsanctioned AI application and agent usage across endpoints, including installed AI apps, agents, and web-based tools. From a single view, organizations can identify agents and applications in use, monitor adoption, and understand user activity to help surface shadow AI, unmanaged applications, and unauthorized tool usage.
With granular guardrail policies, security teams can allow, restrict, monitor, or block applications based on corporate security, compliance, and data security requirements. This supports responsible AI adoption while reducing the risk of unsanctioned tools, sensitive data exposure, and policy violations.
Stronger data security
Reducing AI-Driven Data Exposure and Insider Risk - FortiEndpoint now natively supports DLP to help secure AI interactions and reduce insider risk by automatically inspecting sensitive data exchanged with AI applications, agents, and web services. Built-in user coaching provides real-time policy guidance to help users understand acceptable AI usage and reduce risky behaviours without impacting productivity.
This helps prevent the leakage of sensitive data such as personally identifiable information, intellectual property, and financial information directly at the endpoint. By integrating DLP into FortiEndpoint, organizations can safely adopt AI while maintaining stronger data security and compliance controls without adding another point product or management layer.
Unified management experience
Unifying Endpoint Security, Access, Data Security and AI-Assisted Operations - FortiAI-Assist is built into FortiEndpoint to simplify administration and accelerate day-to-day operations. Security teams can use natural language to investigate events, visualise findings, generate investigation summaries, identify high-risk devices, and troubleshoot issues. It also provides contextual insights, policy recommendations, and risk guidance to help analysts strengthen governance, prioritise threats, scale threat hunting, and improve efficiency through a unified management experience.
These assisted workflows are complemented by adaptive zero-trust capabilities with dynamic risk and compliance scoring. By continuously assessing endpoint health, compliance status, and risk posture, FortiEndpoint helps organizations make access decisions based on real-time context, so access to AI applications and protected resources can be adjusted as risk changes. This helps organizations reduce exposure, enforce more consistent policy, and safely support AI-enabled work.
Sensitive data leakage
Industry analysts are also recognizing the importance of this integrated approach as organizations look for practical ways to govern AI use without adding more tools and complexity.
“Fortinet is addressing what many CISOs need now: visibility into AI usage, control over sanctioned and unsanctioned tools, protection against sensitive data leakage, and real-time coaching to help employees use AI responsibly,” said Chris DePuy, Technology Analyst at 650 Group. “Delivering these capabilities through FortiEndpoint gives customers a practical way to manage AI risk with the same agent and license they already rely on for endpoint security.”
