innovations embedded across the Security Fabric system have been major innovations, according to Forttinet®, the worldwide leader in the convergence of networking and security, to enhance safety against new and emerging threats, to make security and network operations easier and more quickly, and to ensure the use of AI-enabled services by employees.
According to , Founder, President, and Chief Technology Officer at ,” ‘s Artificial benefit stems from the breadth and depth of our AI ecosystem,” which has been shaped by more than any other security vendor and has been supported by more patents than any other security vendor.” By embedding FortiAI across the Security system, including new agentic AI capabilities, we empower our customers to reduce the workload on their stability and network analysts while increasing the efficiency, In addition, we’ve expanded coverage throughout the ecology to give users the ability to monitor and regulate how their organizations use GenAI-enabled service.
The need for AI-driven security and protection.
Enterprises has make use of security tools that use AI to protect against more sophisticated threats, particularly those that bypass defenses, automated attacks, and exploit vulnerabilities. Businesses must protect their own AI methods from data poison, hostile manipulation, and unauthorized access at the same time. Without effective protection, AI can turn into both a target and a weapon for cybercriminals. With more than 500 AI patents pending and issued, Fortunet has taken you under its umbrella to provide AI-driven security to stop advanced threats while keeping AI systems safe and reliable. Fortinet’s new AI innovations
FortiAI now englobes Fortinet’s entire AI-driven approach, including security and network operations, environment protection, and securing AI models and LLMs. It is integrated into the Fortinet Security Fabric platform and provides intelligent, autonomous capabilities to halt advanced threats, streamline operations, and promote secure AI adoption.
FortiAI’s expansion adds new capabilities to two key areas:
FortiAI-Assist combines agentic AI, AIOps, and GenAI to improve security and network operations through intelligent automation and analytics. Among the new capabilities are:
- Network operations using agentic AI
- The GenAI assistant’s autonomous network management system enables the creation of network configuration and security policy updates, validation and correction of existing configurations, troubleshooting and remediation of network issues without the need for human intervention.
- Improve network operations for wired, wireless, and SD-WAN through automated network optimization and troubleshooting, as well as proactively identify and offer remediation of issues before users become impacted.
- Agentic AI Security Operations Applications
- Automated alert triage prioritizes notifications based on risk, context, and historical patterns, eliminates duplicate alerts, and only alerts high-confidence threats within the system or directly to the threat analyst, based on the organization’s preferences.
- Adaptive threat hunting searches logs, network traffic, and user behavior to find threats without waiting for human intervention.
- Root-cause tracing uses AI-driven reasoning to identify an attack’s source, method, and impact.
- Enhancing security intelligence by integrating adversary tactics with threat intelligence enrichment improves proactive defense.
FortiAI-Protect improves security by enabling the identification of sophisticated and unanticipated threats through AI-driven threat detection. Additionally, it provides contextual risk assessments to improve security and enforce access controls for third-party GenAI applications. These enhancements further enhance the value of FortiGuard’s AI-powered for both new and existing customers. Among the new capabilities are:
- GenAI applications are included in the over 6,500 AI URLs that have been analyzed for AI application usage. Additionally, security teams gain more context with the use cases, the training model, and the data’s destination.
- Security teams can block shadow AI or high-risk AI application usage by controlling access and content to GenAI using zero-trust principles. Additionally, visibility into AI application lists and additional context, such as geolocation and training models, enables administrators to define organization-wide AI usage policies.
- Expanding machine learning and large-scale data analysis to detect and neutralize emerging malware threats is one way to improve threat analysis and malware protection. Further refinement of contextual correlation with known threat indicators results in false positives, ensuring precise threat identification while maintaining operational efficiency.
- By continuing to train the machine learning models for the intrusion prevention system ( IPS) to adapt and adapt to new attack techniques, improving safeguards against sophisticated attacks.
Fortinet Supports Businesses in Secureing Their AI Models, Infrastructure, and Data.
Organizations can also securely use FortiAI-SecureA I to integrate artificial intelligence ( AI ) into their operations by leveraging capabilities from the Fortinet Security Fabric platform to safeguard network-based threats, secure web applications and APIs, and defend cloud-native AI workloads across major providers. FortiAI-SecureA I ensures data integrity, guards LLM data leakage, enforces zero-trust access, and facilitates early attack detection and response.
FortiAI places a high value on data privacy for businesses.
To prevent the Fortinet GenAI assistant from training the LLM, FortiAI implements stringent privacy controls using a multi-layered data protection approach. Queries are also processed locally, ensuring that sensitive information never leaves the network or is blocked or hidden before entering the language model.
Fortinet continues to lead in AI-driven cybersecurity with FortiAI-Assist, FortiAI-Protect, and FortiAI-SecureA I to help organizations stay on top of ever-evolving threats.
