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Description

Threat detection entails a thorough examination of each individual network packet along with its contained data, featuring elements such as network protocol identification and verification, which allows for the identification of both obscure and concealed protocols. It incorporates machine learning techniques that provide a proactive assessment of traffic risk through scoring systems. Additionally, the detection of network steganography helps uncover hidden traffic within the network, including potential data breaches, espionage activities, and botnet communications. Utilizing proprietary algorithms for steganography detection serves as an efficient means of revealing various information concealment strategies. Furthermore, a unique signature database containing an extensive array of recognized network steganography techniques enhances detection capabilities. Forensic analysis is employed to effectively evaluate the ratio of security incidents relative to the traffic source. Facilitating the extraction of high-risk network traffic aids in concentrating analysis on specific threat levels, while storing processed traffic metadata in an extended format accelerates the trend analysis process. This multifaceted approach ensures a comprehensive understanding of network security challenges and enhances the ability to respond to emerging threats.

Description

FortiGuard's AI-Driven Security Services seamlessly integrate with the extensive range of Fortinet's security solutions, delivering premier protection for applications, content, web traffic, devices, and users regardless of their location. For further information on acquiring these AI-Driven Security Services, please visit the FortiGate Bundles page. Our specialists employ advanced machine learning (ML) and artificial intelligence (AI) technologies to ensure consistently high-quality protection and provide actionable insights on threats, which significantly enhances the security posture of IT and security teams. FortiGuard Labs serves as the cornerstone of these AI-driven Security Services, effectively mitigating threats in real time through coordinated, ML-enhanced protection. This integration into the Fortinet Security Fabric allows for rapid detection and enforcement measures across the entire spectrum of potential attacks, ensuring comprehensive security coverage. Additionally, the services continuously evolve, adapting to new threats as they emerge, thereby reinforcing the resilience of organizational defenses.