Stopping the Unseen, AI for High Confidence Low-risk Threat Response with Fortinet

Cyber threats are increasingly sophisticated, often evading traditional detection methods and remaining undetected until significant damage occurs. Fortinet’s presentation at Cloud Field Day highlighted how AI-driven insights from network and cloud intelligence significantly improve threat detection, enhance overall visibility, and enable faster, lower-risk responses for security teams. The core message emphasizes empowering security operators by providing high-fidelity insights that allow for efficient and safe remediation, ultimately minimizing attack surface and reducing organizational risk.

The presentation detailed how Fortinet’s solutions address the challenges of increasingly complex cloud environments with numerous ingress/egress points and ephemeral networks. They ingest a vast amount of signals from various sources, both Fortinet and third-party, then utilize advanced machine learning to correlate this data into high-confidence threat assessments. This composite risk view prioritizes threats and presents actionable information to security operators, even providing AI-powered assistance for investigation and remediation steps, thus reducing the burden of low-value tasks.

A live demonstration showcased how Fortinet’s AI-powered security solutions could uncover and prevent an attack. The scenario, presented by a Fortinet threat analyst, simulated a real-world attack leveraging a known vulnerability, demonstrating the system’s ability to detect the initial compromise, trace the attack’s escalation across cloud infrastructure, and pinpoint critical misconfigurations. The presentation concluded by emphasizing Fortinet’s commitment to innovation and leadership in threat intelligence, backed by a significant patent portfolio and a broad range of security solutions designed to assist organizations in maintaining security posture in dynamic cloud environments.