Why a Zero Trust platform matters
Suffocate a threat the moment it manifests and prevent lateral movement with real-time, automated responses that protect against shadow AI and AI-powered attacks, by eliminating stand-alone firewalls and VPNs. Unify your identity, access, segmentation and visibility capabilities in one comprehensive Zero Trust platform. Secure on-prem, cloud, legacy apps, SaaS, and remote or on-site employees.
Zero Trust Segmentation for AI Agents
Aligning Anthropic’s guidance for securing AI agents with Akamai Guardicore Segmentation’s capabilities
A Blueprint for Building a Zero Trust Architecture
Get in-depth guidance on scoping, configuring, deploying, and managing your Zero Trust framework.
What can you do with a Zero Trust platform?
See how Akamai stops ransomware, eases compliance and cloud migration, and secures your hybrid workforce.
Industry recognition for our Zero Trust platform
Protect your business with the Akamai Guardicore platform
The Akamai Guardicore platform brings together exposure-aware, AI-powered microsegmentation, ZTNA, MFA, DNS firewall, and agentic threat hunting to help stop ransomware and prevent lateral movement within your network.
Explore Akamai’s Zero Trust platform
Zero Trust platform FAQ
Zero Trust platform FAQ
Zero Trust Network Access (ZTNA) is a distinct capability focused primarily on securing remote user access to specific applications, frequently deployed within broader SASE or SSE frameworks. A comprehensive Zero Trust platform extends far beyond ZTNA. While ZTNA governs north-south remote access, the platform simultaneously secures internal east-west traffic through granular microsegmentation, context-aware multi-factor authentication (MFA), and a proactive DNS firewall.
Microsegmentation isolates workloads and divides the network into granular, tightly controlled zones. By delivering deep network visibility into internal traffic, it allows security teams to enforce strict communication policies between assets. This direct lateral movement prevention ensures powerful ransomware protection; if a breach occurs, the threat is successfully contained within a single isolated segment before it can spread.
A Zero Trust platform provides essential AI security by safeguarding sensitive data pipelines, automated workflows, and user interactions with artificial intelligence tools. By combining adaptive MFA, secure application access, and intelligent threat detection, the platform prevents unauthorized data exposure, secures remote employee endpoints, and blocks malicious exploits targeting AI applications.
Enterprise buyers should evaluate platforms based on their ability to deliver AI-powered, exposure-aware microsegmentation, ZTNA integration, and compatibility with existing SASE/SSE infrastructure. A viable Zero Trust platform must provide deep asset visibility across hybrid environments, automated ransomware protection, a strong DNS firewall, and frictionless management tools to protect legacy and cloud systems alike. AI threats now require microsegmentation to act as an adaptive, continuously validated control that keeps pace with modern infrastructure and threats.