Fortinet Expands FortiAI Across its Security Fabric Platform
Fortinet, the global cybersecurity leader driving the convergence of
networking and security, announced significant FortiAI innovations embedded
across the Fortinet Security Fabric platform to enhance protection against new
and emerging threats, simplify and automate security and network operations,
and secure employee use of AI-enabled services.
“ Fortinet’s AI advantage stems from the breadth and depth of our AI
ecosystem—shaped by over a decade of AI innovation and reinforced by more
patents than any other cybersecurity vendor. By embedding FortiAI across the
Fortinet Security Fabric platform, including new agentic AI capabilities, we’re
empowering our customers to reduce the workload on their security and network
analysts while improving the efficiency, speed, and accuracy of their security
and networking operations. In parallel, we’ve added coverage across the Fabric
ecosystem to enable customers to monitor and control the use of GenAI-enabled
services within their organization,”
said, Michael Xie, Founder, President, and Chief Technology Officer at
Fortinet
The Need for AI-Driven
Protection and Security for AI Systems
Enterprises must leverage security solutions that
use AI to defend against increasingly advanced threats—especially those that
use AI to bypass defenses, automate attacks, and exploit vulnerabilities. At
the same time, organizations must secure their own AI systems from data
poisoning, adversarial manipulation, and unauthorized access. Without robust
protection, AI can become both a target and a weapon for cybercriminals.
Fortinet has you covered, with more than 500 AI patents issued and pending, and
more than 15 years of AI innovation, delivering AI-driven security to stop
advanced threats while ensuring AI systems remain protected and trustworthy.
New AI Innovations from Fortinet
FortiAI has now expanded to encompass Fortinet’s entire AI-driven
approach across security and network operations, protecting environments, and
securing AI models and LLMs. Integrated into the Fortinet Security Fabric
platform, it delivers intelligent, autonomous capabilities to stop advanced
threats, streamline operations, and support secure AI adoption.
This expansion of FortiAI introduces
new capabilities across two key areas:
FortiAI-Assist combines GenAI, agentic AI, and AIOps to simplify and
transform security and network operations with intelligent automation and
analytics. New capabilities include:
Agentic AI Applications for
Network Operations
Autonomous network management initiated through the
GenAI assistant enables the creation of network configuration and security
policy updates, validation and correction of existing configurations, and
troubleshooting and remediation of network issues without human intervention.
Automated network optimization and troubleshooting
using GenAI and AIOps enhance network operations for wired, wireless, and
SD-WAN, and proactively identify and offer remediation of issues before users
are impacted.
Agentic AI Applications for
Security Operations
Automated alert triage prioritizes notifications based on risk,
context, and historical patterns, suppresses duplicate alerts, and only flags
high-confidence threats within the system or directly to the threat analyst,
depending on the organization’s preferences.
Adaptive threat hunting scans logs, network traffic, and user behavior
to search for threats without waiting for human input.
Root-cause tracing uses AI-driven reasoning to identify an attack's
origin, method, and impact.
Threat intelligence enrichment enhances security intelligence by
correlating attack patterns and attributing adversary tactics, improving
proactive defense.
FortiAI-Protect enhances security with AI-driven threat detection,
enabling the identification of advanced and unknown threats. It also provides
contextual risk assessments to strengthen security and enforce access controls
for third-party GenAI applications. These enhancements further increase the
value of FortiGuard AI-powered Security Services for both new and existing
customers.
New capabilities include:
Detecting AI application usage for over 6,500 AI URLs, including GenAI
applications. Security teams also gain added context around the use cases, the
model used for training, and the location of where the data goes.
Controlling access and content to GenAI using zero-trust principles
allows security teams to block shadow AI or high-risk AI application usage.
Visibility into AI application lists and additional context, such as
geolocation and training models, also allows admins to define organization-wide
AI usage policies.
Enhancing threat analysis and malware protection by expanding machine
learning and large-scale data analysis to detect and neutralize emerging
malware threats. Continued refinement of contextual correlation with known
threat indicators further reduces false positives, ensuring precise threat
identification while maintaining operational efficiency.
Improving safeguards against sophisticated attacks by continuing to
train the intrusion prevention system
(IPS) machine learning models to adapt and detect new attack techniques.
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