August 13, 2025
5 min read
Ynetnews
Riskified and HUMAN Security Forge Alliance Against AI-Driven E-Commerce Fraud
Riskified, a company listed on the New York Stock Exchange that specializes in e-commerce fraud prevention, has joined forces with cybersecurity firm HUMAN Security. Their collaboration aims to establish a unified security framework designed to safeguard merchants in the burgeoning era of AI-driven shopping agents.
The increasing trend of consumers leveraging large language models (LLMs) – such as ChatGPT, Claude, Gemini, Grok, Llama, and Perplexity – for product research and price comparisons presents both significant opportunities and substantial risks for online retailers. While this technology can drive new customer acquisition and sales growth, traditional fraud detection systems may struggle to identify fraudulent transactions conducted by AI agents. This could lead to revenue losses, inventory manipulation, and damage to brand reputation.
Data gathered from Riskified’s merchant network indicates that traffic referred by LLMs can exhibit a higher risk profile compared to conventional sources. For instance, one ticketing merchant observed LLM-referred traffic that was 2.3 times more likely to be fraudulent than traffic originating from Google searches. Similarly, an electronics merchant recorded a 1.8 times higher risk rate. The company has also identified indicators of automated reseller arbitrage, where AI agents quickly acquire products to resell them at inflated prices through fraudulent storefronts, which may then be promoted by other AI agents.
To combat these emerging threats, Riskified is introducing new tools, including:
Source: Ynetnews
- AI Agent Approve—MCP Server Package on AWS Marketplace: This enables supply-side merchants and demand-side LLMs to interact with Riskified platform APIs, facilitating the secure and accelerated adoption of AI shopping agents.
- AI Agent Intelligence: A dashboard designed for monitoring orders originating from AI agents.
- AI Agent Policy Builder: This tool assists in detecting policy abuses, such as programmatic returns and reseller arbitrage. The partnership will also integrate HUMAN’s recently launched Sightline platform with Riskified’s established expertise in fraud prevention and chargeback protection. This integration will allow merchants to apply consistent trust policies across both human and AI-driven transactions. “In a world where AI agents transact on behalf of individuals, resolving identity and trust becomes more complex,” stated Assaf Feldman, Riskified’s chief technology officer and co-founder. “By working with HUMAN and developing new agentic tools and capabilities, we give merchants a way to safely embrace this shift, turning what could be a threat into a new, profitable digital channel.” John Searby, HUMAN’s chief strategy officer, added that the collaboration would “help establish a trusted ecosystem for agentic commerce” by enabling merchants to approve more legitimate AI-driven orders while effectively blocking sophisticated fraud.
- AI Agents Are Revolutionizing E-Commerce Security Against Fraud
- The Rise of AI in E-Commerce: Opportunities and Challenges
- Protecting Your Online Store: Key E-Commerce Fraud Prevention Strategies
Source: Ynetnews
Frequently Asked Questions (FAQ)
Understanding AI-Driven E-Commerce and Fraud Prevention
Q: What is the primary goal of the partnership between Riskified and HUMAN Security? A: The primary goal is to develop a unified security framework to protect e-commerce merchants from fraud perpetrated by AI-driven shopping agents. Q: What risks do AI shopping agents pose to online sellers? A: AI shopping agents can conduct fraudulent transactions that traditional fraud detection systems may miss, potentially leading to revenue loss, inventory manipulation, and reputational damage. Q: What specific types of fraudulent activity have been detected related to AI agents? A: Riskified has detected automated reseller arbitrage, where AI agents rapidly purchase products to resell at inflated prices, and signs of sophisticated fraud patterns in LLM-referred traffic. Q: How does LLM-referred traffic differ from conventional traffic in terms of risk? A: Data suggests that LLM-referred traffic can be significantly riskier. For example, one ticketing merchant saw LLM traffic that was 2.3 times more likely to be fraudulent than Google search traffic. Q: What are the new tools Riskified is rolling out to address these threats? A: Riskified is rolling out the "AI Agent Approve—MCP Server Package" on AWS Marketplace, "AI Agent Intelligence" (a dashboard), and "AI Agent Policy Builder" for detecting policy abuses. Q: How does the integration of HUMAN's Sightline platform benefit merchants? A: The integration allows merchants to apply consistent trust policies across both human and AI-driven transactions, leveraging both companies' expertise. Q: What is the potential benefit of AI shopping agents for e-commerce businesses? A: While posing risks, AI shopping agents can also bring new customers and boost sales by facilitating product research and price comparisons.Crypto Market AI's Take
The increasing sophistication of AI in consumer behavior, particularly in e-commerce, mirrors the advancements seen in financial markets. Just as AI shopping agents can drive sales and introduce new transactional complexities, AI is also fundamentally transforming how market participants analyze data, identify opportunities, and manage risk in the cryptocurrency space. Our platform leverages these AI capabilities to offer sophisticated tools for traders and investors. For instance, our AI Analysts provide in-depth market analysis and predictions, drawing parallels to how AI is being used to understand consumer trends in retail. As e-commerce navigates the challenges of AI-driven agents, the crypto market is similarly adapting to AI-powered trading bots and enhanced security protocols to detect and mitigate fraudulent activities. You can explore our insights on AI Agents in Trading to understand how these technologies are reshaping financial markets. Furthermore, understanding market trends is crucial, which is why our Market Analysis section offers deep dives into current trends and expert opinions.More to Read:
Source: Ynetnews