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Reviewed and published by trentmaziarz, April 21, 2026. Discovered and drafted by our automated research pipeline.
Akamai 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.
Details
Bot Manager's AI framework operates inline on Akamai Connected Cloud, analyzing requests at the edge before they reach customer origin servers. It uses machine learning models, behavioral analysis, device fingerprinting, and browser anomaly detection to assign a score from 0 (human) to 100 (bot). The system includes per-customer deep learning models that learn attack patterns specific to individual high-profile customers and auto-tunes over time. In October 2025, Akamai announced advanced bot detection enhancements including global recognition of trusted users across its entire customer network.
Products affected
Akamai Bot ManagerAkamai App & API Protector
Sources & Evidence
Company Disclosure
Cite this record
Trace Foundation. (2026). Akamai Technologies: Akamai 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 (data as of 2026-04-21) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/b2b639a1-5b26-45d9-948e-cf400478ac20. Accessed October 4, 2026.
- Stable link
- https://www.aitrace.org/r/practice/b2b639a1-5b26-45d9-948e-cf400478ac20
- 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.Data AnalysisAkamai 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.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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