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# Akamai Warns of Fraudulent AI Agent Activity Aimed at E-Commerce Sites

**[Security Boulevard](https://daily.dev/sources/securityboulevard)** · 3 min read · 0 upvotes · 1 comments

## Summary

Akamai's latest research reveals that nearly half (48%) of all e-commerce traffic on its global network is now driven by AI bots, with a significant portion being shopping agents that mimic human behavior. Cybercriminals are hijacking these AI agents to invoke stored payment credentials, deploying LLM-generated synthetic 'Frankenstein' identities to bypass static defenses, and potentially replacing legitimate agents with malicious ones. Akamai recommends moving away from binary allow/block models toward risk-based governance that categorizes bots by intent, applying real-time behavioral biometrics, risk-based MFA, automated kill switches, and broader microsegmentation to limit lateral movement.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://securityboulevard.com/2026/07/akamai-warns-of-fraudulent-ai-agent-activity-aimed-at-e-commerce-sites>

## Questions this post answers

### What percentage of e-commerce traffic is now driven by AI bots according to Akamai?

Nearly 48% of all e-commerce traffic across Akamai's global network is driven by AI bots. Most of this activity comes from AI training crawlers, which account for more than 70% of AI bot triggers in commerce, while a smaller but growing share consists of autonomous shopping agents that mimic human microbehaviors.

_Track how AI bot traffic reshapes e-commerce security with daily.dev's coverage of fraud and bot mitigation._

### How are cybercriminals using AI agents to commit e-commerce fraud?

Cybercriminals are hijacking AI shopping agents to invoke stored payment credentials and may replace legitimate agents with malicious versions that trigger attacks at unpredictable times. They also use large language models combined with deepfake technology to create synthetic 'Frankenstein' identities, blending stolen data like Social Security numbers with fake names and addresses to bypass static fraud defenses.

_Developers building fraud defenses can follow emerging AI agent attack patterns on daily.dev._

### What defenses does Akamai recommend against AI agent fraud in e-commerce?

Akamai's advisory CISO recommends replacing binary allow/block bot models with risk-based governance that categorizes bots by intent and business value. Teams should apply real-time behavioral biometrics, risk-based multi-factor authentication, automated kill switches to freeze compromised accounts, and wider microsegmentation, since only 35% of organizations have moved beyond basic network segmentation.

_Security teams weighing bot governance strategies can find practical fraud-defense approaches on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@lucky50** · 0 upvotes

> As AI agents grow, security threat also increases, every component in the application architecture need to have the AI intelligence in built to protect itself from AI Agents.
>
> If we try to protect AI Agent threats via traditional ways which was designed for human automation attacks, we will be like protecting our Fort via Hand Made weapons ( bow & arrow, sword etc) in the age of Machine guns, tanks etc.
>
> **Modern times need much more solid AI intelligence **in components to protect itself from AI threats. Be it Akamai, Apigee etc.

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#ecommerce](https://daily.dev/tags/ecommerce), [#fraud-detection](https://daily.dev/tags/fraud-detection)

[View this post on daily.dev](https://daily.dev/posts/akamai-warns-of-fraudulent-ai-agent-activity-aimed-at-e-commerce-sites-4j4qw3ine)

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