Akamai has introduced new AI-driven capabilities within Akamai Guardicore Segmentation, aimed at revolutionizing how organizations design and implement their security policies. Thanks to these features, the platform can automatically identify, analyze, and interpret application behavior, generating precise, ready-to-use policies without manual intervention. This enables companies to accelerate their segmentation strategies, enforce stronger controls with greater confidence, and stay prepared against increasingly sophisticated AI-based threats.
In a constantly evolving business environment where workloads change rapidly and attackers act at a pace that outstrips many security teams’ responses, traditional microsegmentation solutions often raise doubts and resistance to new controls. In contrast, the new Guardicore Segmentation features offer continuous monitoring, tailored intelligence for each environment, evidence-based application, and ongoing verification. These capabilities help organizations
Among the new enhancements are:
- Continuous Detection: Provides real-time insight, reduces the time needed to achieve visibility, and strengthens Zero Trust strategy foundations.
- Application Understanding AI: Automatically detects application behavior, generates and explains segmentation policies at scale, simulates impact, and confirms compliance before applying measures, reducing manual effort and operational risk.
- Evidence-Based Deployment: Significantly decreases the attack surface and increases the ability to scale Zero Trust architecture without additional resources.
- Ongoing Risk Containment: Deep analysis links exposure-based detection capabilities with segmentation strategies, allowing organizations to narrow their attack radius by integrating AI-generated insights directly into policy actions.
- Workflow Delegation for Application Owners: Interacts directly with application owners via the application owner portal, accelerates approvals, reduces friction points, and scales Zero Trust architecture across the enterprise.
“We analyzed over 500 segmentation projects to identify common bottlenecks and to determine what drives success in technology, processes, and human behavior,” says Ofer Wolf, Senior Vice President and General Manager of Enterprise Security at Akamai. “That insight was key to developing Akamai Guardicore Segmentation enhancements, which apply AI-based segmentation throughout the entire risk containment lifecycle—from continuous detection and intelligent insights to runtime assurance, exposure analysis, and rapid response.” Akamai Guardicore Segmentation is designed for organizations managing hybrid workloads across IT, cloud, Kubernetes, and AI environments, seeking to minimize lateral movement and ransomware risks while meeting increasing audit, compliance, and data sovereignty requirements.