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Fortinet Introduces Self-learning AI Capabilities in New Network Detection and Response OfferingFortiNDR leverages machine learning and deep neural networks - the next-generation of AI - to identify cyberattacks based on anomalous network activity and limit threat exposure | ||
Dubai, United Arab Emirates Fortinet (NASDAQ: FTNT), a global leader in broad, integrated, and automated cybersecurity solutions, today announced FortiNDR, a new network detection and response offering that leverages powerful artificial intelligence and pragmatic analytics to enable faster incident detection and an accelerated threat response.
John Maddison, EVP of Products and CMO at Fortinet
John Maddison, EVP of Products and CMO at Fortinet said, “With the introduction of FortiNDR, we’re adding robust network detection and response to the Fortinet Security Fabric. Powered by purpose-built machine learning, deep learning, pragmatic analytics, and advanced AI capabilities, FortiNDR automatically detects and responds to abnormal network activity to thwart security incidents. Fortinet’s full suite of detection and response offerings feature native integration for a coordinated response to empower security teams to move from a reactive to a proactive security posture.”
SecOps Teams Must Leverage AI to Stay Ahead of Threats
FortiNDR Accelerates Threat Detection with Artificial Intelligence
Coordinated Response with Security Fabric Integration
As the industry’s highest performing cybersecurity mesh platform powered by FortiOS everywhere and a common management framework, the Fortinet Security Fabric enables broad visibility, seamless integration and interoperability between critical security elements, and granular control and automation.
Fortinet’s Robust Portfolio of Detection and Response Solutions
Organizations looking to add detection and response capabilities to their traditional prevention-oriented security controls can choose from:
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