See how Fortinet are driving security, operations and visibility with AI touching every part of the security fabric.

Large enterprises need to enforce compliance with security and architectural requirements across multiple cloud infrastructure technologies like AWS, Azure, Terraform, and CloudFormation.  Traditional security review processes don't scale and slow product development teams. What's required is automation with fine-grained, custom policies that minimize unnecessary, noisy findings and accurately enforce an organization's custom control requirements.

In this session, we'll explore how organizations use FortiCSPM (cloud security posture manangement) to centrally enforce cloud infrastructure configuration compliance across multiple cloud technologies. You will leave with an understanding of the major components of a successful cloud infrastructure compliance program and how to safely speed up your cloud migration efforts. We'll cover compliance reporting, vulnerability assignment and remediation tracking, policy management (i.e., selection and authoring of automated checks), and separation of duties.

Effective cloud outcomes are largely an advanced security operations, SecOps, effort.  Failure doesn’t come from lack of security tooling options, rather that these tools are not organizationally aligned to support proper workflow, fail to provide visibility, and actually increase risk because of longer time to identify and remediate threats.  The challenge of bringing tools into a framework that improves SOC efficiency and provides human scale suffers from complications in bringing multi-provider and multi-vendor ecosystems into harmony across security workflows, recruiting multiple organizational roles as security contributors, and managing the practice with scarce resources in people and skills.  In this session Fortinet will show a real-world implementation that created a successful cloud outcome by leveraging AI and ML to harmonize signals, speed response and drives down risk.