Turn agentic commerce into trusted growth

Agentic commerce is here. DataDome gives you the visibility, control, and protection you need to safely enable AI agents to browse, compare, and buy, without opening the door to fraud or friction.

Agentic Commerce

Gain visibility & control of agentic traffic

DataDome

More revenue, less risk, & full control

Gartner predicts that by 2028, 1 in 5 digital interactions will involve AI agents. For consumers, AI agents become the new front door to your business. DataDome distinguishes between legitimate agent-driven purchases and sophisticated attacks. 

With real-time intent-based detection and continuous learning, we protect your revenue while enabling the trusted agentic commerce experiences your customers expect.

DataDome

Your Agent Trust Management control plane for all traffic

Enable AI agent trust across your websites, apps, MCP servers, and APIs in minutes. Agent Trust allows you to see your AI agent traffic clearly, trust the good agents, and automatically block the bad ones.

Verify the identity of AI agents continuously

Verify the identity of AI agents continuously

No more undeclared, unknown, or easily spoofed AI agents that can increase fraud risk. Agent Trust relies on Web Bot Auth, an authentication method that uses cryptographic signatures, to verify the identity of all AI agents on every request.

 

AI agents with confirmed identities can interact and transact based on assigned policies. Unverified AI agents are blocked or constrained automatically, without manual intervention. You’re in control, instantly.

Visibility & trust for agentic traffic

DataDome
Reduce fraud & operational noise

Cut agent-driven abuse at the source. Block ATO, scalping, scraping, agent takeover, agent impersonation, and transaction abuse in real time—lowering chargebacks, support tickets, and infrastructure costs.

DataDome
Enable frictionless agentic commerce for trusted users

Let trusted AI agents interact without friction. DataDome recognizes trusted, buyer‑initiated, agent‑mediated actions with intent‑based decisions that keep false positives near zero.

DataDome
Secure your MCP infrastructure

Identify and classify every request to your MCP server to distinguish trusted interactions and transactions from fraudulent ones, without adding friction for genuine users. 

DataDome
DataDome

“To ensure we are in control of who accesses our content, and to unlock new revenue from AI traffic to our leading online business publications, we turned to DataDome and TollBit. DataDome detects and handles the most sophisticated AI traffic, boosting our ability to monetize.”

DataDome
DataDome

“We partnered with DataDome to protect users from scams and fraud, and it is one of the few products we tried that proved effective against bots.”

DataDome
DataDome

“DataDome offers a lot of flexibility. We frequently refine our integration as attackers change their tactics and DataDome provides many options. Overall, I’m a fan of the platform.”

FAQ

What is agentic commerce?

Agentic commerce is when AI agents act on behalf of consumers to discover products, compare options, check availability, and complete purchases across websites, apps, and APIs. Instead of a user manually clicking through a journey, a consumer-authorized agent executes buyer-initiated, agent-mediated actions.

How is agentic commerce expected to grow in the coming years?

Analysts forecast rapid adoption as consumer assistants become default shopping interfaces. McKinsey forecasts up to $5 trillion in agentic commerce sales by 2030 and research by Salesforce reported that 48% of shoppers who already use AI for shopping are open to having an AI agent make a purchase for them. It is predicted that by the late 2020s, a significant share of digital interactions and an even larger share of discovery and price comparison will be agent-driven.

What are the risks of agentic commerce?

  • Visibility gaps: Many businesses can’t reliably identify which agents are accessing their sites, what actions they take, or why, making governance and troubleshooting hard.
  • AI-driven fraud: Agent-assisted account takeover, fake accounts, card testing, scalping, and transaction abuse can mimic legitimate flows at speed and scale.
  • Content and data misuse: Unlicensed agent scraping can exfiltrate pricing, inventory, and proprietary content, harming SEO and competitiveness.
  • Revenue leakage: Without clear policies, good agents may be blocked (lost sales) while bad agents slip through (fraud losses).

Why does agentic commerce require a new approach to fraud prevention?

Traditional bot defenses focus on static fingerprints and simple automation patterns. Agentic interactions blend:

  • Human initiation plus AI execution
  • Multi-step journeys spanning web, mobile, and APIs
  • Tools that can mimic human timing, inputs, and device traits

This demands Agentic Trust Management, including intent-based detection, per-agent visibility, and policy controls that distinguish authorized, value-adding agents from malicious or compromised ones—without introducing friction for legitimate users or agents.

What does an agentic commerce fraud solution do?

  • Identify agents with precision: Detect and label consumer assistants, LLM crawlers, and custom agents; map sessions, routes, and outcomes (allow, rate-limit, block & monetize).
  • Analyze intent in real time: Use behavioral, network, and device signals to separate legitimate agent-mediated actions from attacks in under milliseconds.
  • Protect your MCP server: Secure your MCP servers from emerging agentic threats and ensure safe, scalable growth for your business. 
  • Govern access and actions: Allowlist/denylist by agent, enforce rate limits, require step-up challenges on sensitive actions, and restrict routes or content by policy.
  • Stop AI-powered abuse: Block ATO, fake account creation, payment fraud, scraping, scalping, and data contamination. 
  • Enable monetization: Enforce licensing and usage terms for approved agents and AI traffic. 
  • Deploy everywhere: Protect web, mobile, API surfaces & MCP servers with edge and in-app coverage; provide dashboards for visibility and SOC/fraud Ops workflows; integrate with existing identity, payments, and observability stacks.

With this approach, businesses can safely enable agentic commerce—letting the right agents in, keeping the wrong ones out, and turning AI-driven traffic into a reliable growth channel.

What are the emerging account threats of agentic commerce?

As AI agents act more autonomously, new risks emerge inside user accounts:

  • Account takeover by unauthorized agents: Compromised or fake agents log in and perform legitimate-looking account changes without consent.
  • Transaction & refund abuse: Rogue agents automate checkouts, card testing, or refund loops that mimic normal customer flows.
  • Synthetic account & loyalty farming: Automated agents create fake accounts or drain loyalty balances, inflating metrics and eroding trust.

DataDome

Turn agentic commerce into trusted growth

Agentic commerce presents a massive opportunity. DataDome lets you capture it by seeing every agent, controlling every interaction, and stopping fraud in real time.