Fortinet enhances FortiEndpoint with AI security features to help enterprises govern AI adoption

BENGALURU: Cybersecurity company Fortinet has expanded its FortiEndpoint platform with a suite of new capabilities designed to help enterprises securely adopt artificial intelligence (AI), protect sensitive data, strengthen endpoint security and simplify security operations in increasingly AI-driven enterprise environments.

The latest enhancements integrate AI visibility and governance, native data security, endpoint risk scoring and FortiAI-assisted operations into a unified endpoint platform delivered through one agent, one console and one license, enabling organizations to manage AI usage while reducing cyber risks.

Addressing AI-Era Security Challenges

As enterprises rapidly deploy AI applications and intelligent agents across their operations, security teams face growing challenges in governing AI usage, preventing data leakage and managing fragmented security tools.

Fortinet said the expanded FortiEndpoint platform is designed to provide centralized visibility across users, devices, applications and data while integrating endpoint protection, secure remote access and data security within the broader Fortinet Security Fabric architecture.

“Organizations need a simpler and more effective way to manage security as their environments become more complex and AI-enabled,” said Michael Xie, Founder, President and Chief Technology Officer at Fortinet, noting that the company aims to consolidate security, secure access, AI visibility and assisted operations into a single platform.

AI Visibility and Governance

Among the key additions is a centralized dashboard that enables organizations to monitor both sanctioned and unsanctioned AI applications and AI agents running across enterprise endpoints.

Security teams can identify AI tools in use, monitor adoption patterns and detect “shadow AI” applications that may pose compliance or security risks.

The platform also introduces configurable guardrail policies allowing organizations to permit, restrict, monitor or block AI applications based on internal security and compliance requirements.

Built-in Data Loss Prevention

Fortinet has also integrated native Data Loss Prevention (DLP) capabilities into FortiEndpoint to protect sensitive information shared with AI applications.

The solution automatically inspects data exchanged with AI tools and provides real-time user coaching to reduce risky behaviour without affecting productivity.

The company said the capability helps safeguard personally identifiable information (PII), intellectual property and financial information while supporting responsible AI adoption.

AI-Assisted Security Operations

The platform now incorporates FortiAI-Assist, enabling security analysts to use natural language commands to investigate incidents, generate summaries, identify high-risk devices and troubleshoot issues.

The AI assistant also provides contextual insights, policy recommendations and risk guidance to improve threat prioritisation and operational efficiency.

In addition, FortiEndpoint introduces adaptive Zero Trust capabilities through dynamic endpoint risk and compliance scoring, allowing organizations to continuously assess device health and adjust access permissions based on real-time risk.

According to Chris DePuy, Technology Analyst at 650 Group, enterprises increasingly require visibility into AI usage, stronger controls over approved and unapproved AI tools, protection against sensitive data leakage and mechanisms to encourage responsible AI use.

He noted that delivering these capabilities through the existing FortiEndpoint platform offers organizations a practical approach to managing AI-related risks without introducing additional security tools.

Fortinet said the new FortiEndpoint capabilities are expected to become available during Q3 2026.