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Can Your Shopping Bot Be Trusted? How Visa Will Ensure Scam-Free AI Transactions
The integration helps merchants authenticate AI agents and prevent fraud amid a 300% surge in AI-powered bot traffic, securing payments at 175 million Visa merchant locations.
- Akamai and Visa announced an integration that deploys Visa's Trusted Agent Protocol across Akamai Cloud to authenticate AI shopping agents and securely pass payment information.
- Over the past year, Akamai's 2025 Digital Fraud and Abuse Report documented a 200% surge in AI-powered bot traffic, with the commerce industry recording over 25 billion AI bot requests in two months.
- Technically, Trusted Agent Protocol uses standard web infrastructure to show mission approval, provide consumer visibility, and transmit payment details, while Akamai's edge-based behavioral intelligence adds user recognition and bot/abuse protection.
- Designed for scale, the protocol eases adoption by 175 million Visa-accepting merchant locations with minimal UX changes, supporting network tokens and micropayments for predictable payment flows.
- Merchants must now address challenges as autonomous AI agents increasingly browse and buy, while Akamai and Visa aim to help distinguish legitimate intent and detect anomalies with real-time signals.
Insights by Ground AI
17 Articles
17 Articles
Akamai and Visa Join Forces To Secure the Next Era of Agentic Commerce
Akamai Technologies, Inc., the cybersecurity and cloud computing company that powers and protects business online, today announced a strategic collaboration with Visa to bring stronger identity, user recognition, and security controls to the emerging world of agentic commerce.
Is That an AI Bot Buying from You?
It’s hard enough to detect if your buyer is a scammer, but now sellers must be able to determine if buyers are even human, and what having AI bots as buyers means for the validity of their purchases. The topic came up on Wednesday when two industry giants announced they were joining forces to “secure […]
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Leaning Left0Leaning Right2Center2Last UpdatedBias Distribution50% Center, 50% Right
Bias Distribution
- 50% of the sources are Center, 50% of the sources lean Right
50% Right
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R 50%
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