Data AnalysisVerified
Reviewed and published by trentmaziarz, April 21, 2026. Discovered and drafted by our automated research pipeline.
Akamai uses AI in its Guardicore Segmentation product to automatically map how applications and devices communicate inside a customer's network, then generate ready-to-enforce security policies that limit attackers' ability to move between systems. Major AI-powered updates to this product were announced in April 2024 and March 2026.
Details
The AI engine analyzes application behavior, traffic patterns, and asset metadata to auto-label unknown network assets, model application dependencies, and generate segmentation policies with confidence scoring and explanations. In April 2024, Akamai launched the Akamai Guardicore Platform with an AI assistant that lets security administrators ask natural-language questions about their network. A March 2026 update added continuous discovery, AI-driven policy generation at scale, simulation of policy impact before enforcement, and delegated application owner workflows.
Products affected
Akamai Guardicore SegmentationAkamai Guardicore PlatformAkamai Hunt
Sources & Evidence
News Article
Company Disclosure
Cite this record
Trace Foundation. (2026). Akamai Technologies: Akamai uses AI in its Guardicore Segmentation product to automatically map how applications and devices communicate inside a customer's network, then generate ready-to-enforce security policies that limit attackers' ability to move between systems. Major AI-powered updates to this product were announced in April 2024 and March 2026 (data as of 2026-04-21) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/580b0f7c-42a0-4723-ad01-1f8f40ec435e. Accessed September 11, 2026.
- Stable link
- https://www.aitrace.org/r/practice/580b0f7c-42a0-4723-ad01-1f8f40ec435e
- Data as of
- April 21, 2026
- Last verified
- April 21, 2026
Other practices by Akamai Technologies
Data AnalysisAkamai uses machine learning models in its Akamai Hunt service to automatically detect suspicious movement of attackers through customers' internal networks, surfacing threats that evade traditional security tools. Human security experts then investigate each flagged event before alerting the customer.ModerationAkamai uses an AI framework in its Bot Manager product to automatically distinguish human web visitors from malicious automated bots across customer websites, apps, and APIs, assigning each request a bot-likelihood score in real time. This capability has been in production for multiple years and handles an average of 40 billion bot requests per day.OtherAkamai offers Akamai Inference Cloud, a distributed platform that lets businesses run AI models closer to end users by spreading computing power across thousands of edge locations worldwide, reducing delays and costs compared to centralized cloud providers. The service launched in October 2025 and targets organizations looking to deploy AI in real-world production environments.
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