Detect and Disrupt, Then Investigate and Remediate
The Fortinet Security Operations (SecOps) platform seamlessly integrates behavior-based sensors to detect and disrupt threat actors across the attack surface and along the cyber kill chain. Backed by our operating system, FortiOS, Fortinet delivers centralized investigation and remediation that can be orchestrated, automated, and/or augmented to reduce cyber risk, cost, and operational effort.
Early Detection and Prevention
The Fortinet SecOps platform offers the broadest range of sensors that utilize AI and other advanced analytics to continuously assess device, user, file, network, email, application, cloud, log, and even dark web activity to identify signs of cyberthreats. Fabric-native interoperability fundamentally changes the security operations paradigm from “detect and respond” to “detect and disrupt,” then “investigate and respond.” It reduces cyber risk, enabling faster containment and providing more time for thorough investigation and comprehensive remediation.
Diagram illustrating how Fortinet solutions align with the NIST Cybersecurity Framework. Identify cyber threats and exposure on external attack surface and the dark web with EASM and DRPS. Harden the attack surface and block attacks with NGFWs, SEG, WAF, EPP, and VMS. Detect and disrupt threat actor intrusion with EDR, UEBA, NDR, ICES, TA, SIEM, FAZ, Deception, and Sandbox. Investigate and remediate incidents, returning to safe operation with SOAR, XDR, IR Service, and the Fortinet Partner Ecosystem.
Unified Threat Response
Even as these sensors detect and disrupt threat actor activity, alerts and information are funneled for centrally orchestrated or automated investigation and remediation, powered by the FortiAI GenAI assistant. Key functions include correlation, enrichment, analysis, triage, validation, and response. In addition to Fabric-native integration that enables deeper visibility and a wider range of actions, 500+ connectors enable the platform to ingest telemetry from and command multivendor security infrastructure.
AI-Powered Security Operations
Applying artificial intelligence and automation to the security operations function reduces cyber risk by speeding detection and containment as well as investigation and remediation.
AI and Advanced Detection Analytics
Machine learning, deep learning, deception, and more can be deployed within or across domains to detect attacks humans can’t see.
Attack Surface Coverage
Users, devices, networks, email, applications, cloud, the dark web, and more can be monitored to avoid blind spots that attackers can exploit.
Cyber Kill Chain Coverage
Earliest stage reconnaissance and weaponization through action on objectives can be tracked and disrupted.
Integration and Automation
Components include Fabric-native integration, as well as select third-party support, for threat intelligence sharing, automated action, and more.
Investigation and Response
Generative AI assistance is built into analyst workflows to inform and expedite incident management and threat hunting for analysts of all levels.
Orchestration and Augmentation
In-house security teams become more efficient and consistent when guided through processes or supplemented by outsourced skills.
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