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. Centralized investigation and remediation can be orchestrated, automated, and/or augmented to reduce cyber risk, cost, and operational effort.
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.
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.
Cyberattack campaigns, tactics, and procedures are continually increasing in sophistication
Work-from-anywhere, connected IoT/OT, cloud applications add potential entry points
The volume of security products, information, and alerts makes it hard to identify threats
The industry-wide shortage of expertise increasingly results in overburdened security teams
Invest in AI
Utilize AI-based threat detection engines that focus on analyzing behavioral indicators (via extended security telemetry data) to gain greater visibility into potential security threats and improve threat detection effectiveness.
Gartner Emerging Tech: Security — Improve Threat Detection and Response With AI-Based Behavioral Indications. 2023.
Drive to Automation
The shortage of skilled security practitioners will continue to drive the desire for automation within the security operations field.
Gartner Emerging Technology Horizon for Information Security, 2022. 2023.
Platform Consolidation
Seventy-five percent of organizations are pursuing security vendor consolidation — in 2020, this figure was only 29%.
Gartner Top Trends in Cybersecurity — Survey Analysis: Cybersecurity Platform Consolidation. 2023.
with distributed security controls across network, endpoint, application and cloud covers the expanded digital attack surface
detects advanced threats across the cyber kill chain and powers analyst investigation and response actions
speed a comprehensive, coordinated response and ease the burden on in-house security teams
Security Fabric analytics and automation
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Applying artificial intelligence and automation to the security operations function reduces cyber risk by speeding detection and containment as well as investigation and remediation.
Machine learning, deep learning, deception, and more can be deployed within or across domains to detect attacks humans can’t see.
Users, devices, networks, email, applications, cloud, the dark web, and more can be monitored to avoid blind spots that attackers can exploit.
Earliest stage reconnaissance and weaponization through action on objectives can be tracked and disrupted.
Components include Fabric-native integration, as well as select third-party support, for threat intelligence sharing, automated action, and more.
Generative AI assistance is built into analyst workflows to inform and expedite incident management and threat hunting for analysts of all levels.
In-house security teams become more efficient and consistent when guided through processes or supplemented by outsourced skills.