AI Tackles Fragmented Cloud Security Alerts
Cloud-native cyberattacks are growing more complex, often involving tactics such as credential theft, lateral movement, and API abuse. For security operations center (SOC) teams, this means a deluge of fragmented alerts and limited context, making it difficult to identify and respond to real threats. Fortinet has introduced an AI-powered alert investigation and remediation assistant within its FortiCNAPP platform to address these challenges.
Composite Alerts: From Noise to Actionable Incidents
Traditional security tools frequently bombard analysts with isolated anomalies, many of which are false positives. FortiCNAPP’s AI assistant aggregates related suspicious activities—such as unusual API calls or privilege escalations—into “Composite Alerts.” This approach distills thousands of signals into high-confidence incidents, allowing SOC teams to focus on what truly matters.
By presenting a unified incident story, FortiCNAPP eliminates the need for analysts to manually correlate dozens of disparate alerts, significantly reducing the chance of missing critical threats.
Investigation Made Interactive and Intuitive
The platform’s Observation Timeline sequences events like logins, commands, and network activity into a clear, chronological chain of evidence. The AI Alert Assistant then transforms this timeline into an interactive investigation tool. Analysts can ask questions in natural language and receive structured answers, complete with supporting evidence, visual relationships, and prioritized recommendations.
This conversational interface is designed to be accessible for all skill levels, helping both junior and experienced analysts accelerate investigations and learn on the job.
Guided Remediation: From Analysis to Action
Unlike traditional alerting systems that stop at detection, FortiCNAPP’s AI assistant provides tailored, step-by-step remediation guidance for each incident. Recommendations are specific to the situation and backed by evidence, helping SOC teams act quickly and consistently. This reduces uncertainty, shortens triage cycles, and empowers teams to contain threats before they escalate.
Reducing Alert Fatigue and Improving Security Posture
Alert fatigue remains a top concern for SOC teams, who often struggle with excessive noise and insufficient context. FortiCNAPP addresses this by filtering out low-priority signals and highlighting incidents that require immediate attention. The AI-driven workflow guides analysts seamlessly from detection to investigation to remediation, reducing workload and improving response times.
Machine Learning and Real-World Feedback
The foundation of FortiCNAPP’s capabilities is its detection framework, which leverages advanced machine learning and input from real customer environments. By correlating activities across multiple cloud layers and exposing this intelligence through a conversational AI interface, the platform creates a feedback loop that ensures alerts are both accurate and actionable.
Implications for Modern Security Operations
As threat actors continue to evolve, SOC teams require tools that provide clarity, context, and actionable guidance. FortiCNAPP’s AI-powered assistant aims to deliver on this need by reducing noise, revealing the full story behind incidents, and offering direct remediation steps. Organizations adopting such solutions may see improved incident response, reduced analyst workload, and a stronger overall security posture.