Akamai Unveils AI-Powered Guardicore Segmentation for Faster Zero Trust
Akamai introduced AI-powered enhancements to its Guardicore Segmentation platform, delivering real-time discovery, automated policy generation and impact simulation to streamline Zero Trust deployments. The upgrade adds proof-driven enforcement and exposure-aware detection, reducing manual effort while containing lateral movement risk and blast radius at scale.
1. AI-Powered Policy Automation
Akamai Guardicore Segmentation’s AI engine automatically maps application behavior, generates detailed segmentation policies and simulates their impact before deployment. This capability cuts manual configuration time and lowers operational risk by validating readiness in a virtual environment prior to enforcement.
2. Continuous Discovery and Insight
The new continuous discovery feature provides ongoing visibility into evolving workloads and traffic patterns, forming a dynamic foundation for Zero Trust. By continuously monitoring changes in hybrid IT, cloud and Kubernetes environments, organizations gain faster insight and stronger controls.
3. Proof-Driven Enforcement and Risk Containment
Proof-driven enforcement integrates policy simulation with real-time validation, enabling safe rollout of controls without increasing head count. Combined with exposure-aware detection, this approach reduces the attack surface, contains lateral movement and minimizes blast radius through AI-generated insights feeding directly into policy actions.
4. Delegated Workflows and Enterprise Scale
Dedicated App Owner Portal workflows engage application stakeholders in policy approval, accelerating sign-off and reducing friction. The solution is tailored for enterprises facing audit, compliance and data sovereignty mandates, ensuring scalable Zero Trust implementation across diverse IT estates.