Fortinet Introduces Self-Learning AI Capabilities in New Network Detection and Response Offering
|07 June 2022
|Xinhua Finance Agency
FortiNDR leverages machine learning and deep neural networks the next-generation of AI to identify cyberattacks based on anomalous network activity and limit threat exposureHONG KONG SAR - Media OutReach - 7 June 2022 - John Maddison, EVP of Products and CMO at Fortinet "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." News Summary 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.
SecOps Teams Must Leverage AI to Stay Ahead of Threats Security operations teams are faced with advanced, persistent cybercrime that is more destructive and less predictable than ever before, an attack surface that continues to expand with hybrid IT architectures, and ongoing staff shortages due to the cybersecurity skills gap. Those using legacy security solutions are also challenged with overwhelming and tedious manual alert triage that pulls important resources away from high-priority tasks such as mitigating threats.
As cybercriminals become more sophisticated, so too must an organization's security tools. FortiNDR Accelerates Threat Detection with Artificial Intelligence With the introduction of FortiNDR, Fortinet is delivering full-lifecycle network protection, detection, and response powered by AI to: Detect signs of sophisticated cyberattacks: With self-learning AI capabilities, machine learning, and advanced analytics, FortiNDR establishes sophisticated baselines of normal network activity for an organization and identifies deviations that may indicate cyber campaigns in progress.
Profiling can be based on IP/Port, Protocol/Behavior, Destination, Packet Size, Geography, Device Type and more. Taken together, this means earlier detection as organizations no longer need to rely on generic threat feeds, which depend on threats or components to...
To continue readingRequest your trial