Fortinet, internationally recognised in cybersecurity, has announced the integration of new features into its FortiEndpoint platform, aimed at supporting organisations in securely leveraging AI, safeguarding crucial data, and mitigating risks. By incorporating AI oversight, innate data protection, endpoint risk evaluation, and FortiAI-guided operations, Fortinet's FortiEndpoint empowers security teams to manage AI utilization, minimise sensitive data exposure, implement risk-aware access, and simplify security operations across dispersed environments.
The Security Fabric from Fortinet is crafted to integrate crucial security and networking functions, providing enhanced visibility and improved protective measures, as explained by Fortinet's Founder, President, and CTO, Michael Xie. "With FortiEndpoint, we are expanding that strategy by merging security, secure access, data protection, AI oversight, and assisted operations into one endpoint platform, offered via a single agent, console, and license," remarked Xie.
Advanced adaptive access
With the proliferation of agents and AI-driven applications, organisations demand improved oversight, robust governance, and comprehensive protection to securely embrace AI while minimising endpoint risks. The threat landscape continues to evolve, with adversaries using advanced techniques to exploit vulnerabilities across users, devices, and data. Fortinet seeks to address these challenges by integrating endpoint telemetry and risk context through the Fortinet Security Fabric, thus enhancing adaptive access and comprehensive policy enforcement.
FortiEndpoint plays a pivotal role in securing AI applications on endpoints by providing central management over both approved and non-approved AI applications and agents. Organisations can utilise a single interface to track AI adoption, detect illicit tools, and implement granular compliance policies to regulate applications according to corporate security needs, ultimately supporting responsible AI deployment.
Enhanced data security
FortiEndpoint also assists in dynamically adjusting access rules based on real-time risk assessments
The platform also addresses AI-related data security concerns by introducing native Data Loss Prevention (DLP) capabilities. This feature inspects sensitive information transmitted through AI applications and educates users on appropriate AI practices, reducing the likelihood of data breaches involving personal, intellectual, or financial information.
FortiEndpoint incorporates FortiAI-Assist to streamline administration, offering natural language capabilities for investigating events, visualising outcomes, and troubleshooting. The unified management experience provided by FortiEndpoint supports adaptive zero-trust mechanisms and dynamic compliance scoring to ensure secure and efficient AI application usage. FortiEndpoint also assists in dynamically adjusting access rules based on real-time risk assessments.
Industry experts, including Chris DePuy from the 650 Group, have acknowledged the importance of Fortinet’s approach, highlighting the platform's practicality in allowing organisations to manage AI risks efficiently using existing tools and processes.
Fortinet®, the global cybersecurity pioneer driving the convergence of networking and security, announces new capabilities for its unified endpoint platform, FortiEndpoint, designed to help organisations 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
“Organisations 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, organisations 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 centralised 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, organisations can identify agents and applications in use, monitor adoption, and understand user activity to help surface shadow AI, unmanaged applications, and unauthorised 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, organisations 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 organisations make access decisions based on real-time context, so access to AI applications and protected resources can be adjusted as risk changes. This helps organisations reduce exposure, enforce more consistent policy, and safely support AI-enabled work.
Sensitive data leakage
Industry analysts are also recognising the importance of this integrated approach as organisations 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.”
