DataDome
Enterprise software for bot, fraud and traffic abuse prevention.
Available information varies by company and source.
Profile record updated:
Company facts
- Entity type
- COMPANY
- Founded
- 2015
- Company size
- 50–200
- Market role
- B2B SaaS Provider
- Official website
- datadome.co
What DataDome does
DataDome operates a B2B enterprise software model. It provides a proprietary protection layer that sits across customer web, app and API traffic, analyses requests in real time, and enforces security and fraud rules with centralised analytics. Value is created by reducing fraudulent traffic, account abuse, downtime risk, wasted media spend and operational strain, while preserving legitimate user access. The platform is sold as a unified control plane with separate modules for bot protection, account security, API protection, ad fraud prevention, DDoS mitigation and high-demand traffic management.
Category differentiation
DataDome is not a consumer data broker, ad network or foundational AI model provider. It is an enterprise cyberfraud and bot mitigation software vendor with one advertising-focused protection module.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
DataDome is a private B2B software company that sells a cyberfraud protection platform for websites, mobile apps, APIs and paid traffic. Its products detect and block malicious bots, click fraud, account takeover attempts, scraping, application-layer DDoS attacks and other automated abuse, with enforcement designed to happen at the edge with very low latency. The company serves enterprise security, fraud, infrastructure and digital operations teams, as well as advertisers, publishers and marketplaces that need to protect revenue, platform integrity and user journeys. The company makes money primarily through enterprise SaaS subscriptions. Its commercial model centres on modular contracts priced by traffic volume, protected assets or endpoints, and the scope of enabled protection modules, with additional revenue from premium support and managed services. While it has an advertising fraud use case, its broader position is as a cyberfraud and bot management platform rather than a pure ad verification vendor.
Company news briefing
Briefing updated:
DataDome has joined Experian's Agent Trust ecosystem to strengthen agentic commerce security through continuous intent verification and Know Your Agent signals. Building upon its Q2 2026 product roundup and the launch of its Hosted MCP Server, DataDome continues to scale its bot and agent trust management capabilities as headless AI agent traffic expands across digital platforms.
Business model & monetisation
The company uses a SaaS subscription model with enterprise contracts tailored to traffic volume, number of protected endpoints or properties, and enabled product modules. Monetisation is primarily recurring software revenue, with cross-sell from a core bot management footprint into adjacent modules such as account protection, API security, DDoS protection and ad fraud prevention. Additional revenue is generated through premium support and managed security services.
- Enterprise platform subscriptions
- Software Subscription
- Module upsells for bot, account, API and DDoS protection
- Software Subscription
- Ad fraud protection contracts
- Software Subscription
- Premium support and managed services
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Programmatic stack & registry data
Registry entries and observed technical data do not establish certification, legal compliance or actual usage.
DataDome SA
IAB vendor record: 1284
- Cookies declared
- Yes
- Non-cookie access declared
- No
- Declared feature IDs
- 3
- Declared special purpose IDs
- 1
Products & market categories
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
DataDome Joins Experian Agent Trust Ecosystem
Agentic AI · Recorded impact score: 3/5
Experian, a global data and technology company, announced that DataDome, a leader in bot and agent trust management, has joined its Agent Trust™ ecosystem. This collaboration aims to strengthen trust in agentic commerce by combining Experian's trusted identity foundation with DataDome's continuous intent verification. The partnership creates a layered trust framework that helps businesses verify AI agents' identities and ensure their behavior remains consistent with delegated authority. DataDome integrates directly with Experian's framework, using verified Know Your Agent signals to dynamically assess agent behavior. This allows organizations to make trusted decisions throughout the transaction lifecycle without re-architecting their technology stacks. Together, they aim to enable safe and scalable agentic commerce by stopping malicious or compromised agents in real-time while allowing legitimate transactions to proceed.
- DataDome joins the Experian Agent Trust ecosystem.
- The collaboration combines Experian's identity foundation with DataDome's continuous intent verification.
Introducing DataDome’s AI Key Takeaways Feature: Understand Your Protection at a Glance
Recorded impact score: 3/5
DataDome has introduced a new AI Key Takeaways feature that provides users with a quick, at-a-glance understanding of their protection status. This product update is highlighted on the company's blog.
Designing Products for Headless AI Agents
AI & Infrastructure · Recorded impact score: 5/5
The article discusses the shift from chat-based AI interfaces to headless AI agents that interact with products via APIs without a graphical user interface. It emphasizes the need for service design, API literacy, and careful contract design to accommodate these invisible users. Citing reports from DataDome, Cloudflare, and Fastly, it highlights the rapid growth of AI agent traffic and the importance of designing for failure states, idempotency, and semantic clarity. The author argues that product design must expand beyond screens to include the data contracts and error messages that agents encounter, urging teams to understand agent behavior through traffic analysis and sequence mapping.
- DataDome's AI Traffic Report Q2 2026 counted 17.7 billion AI agent requests in April, May, and June, up 45% from the previous quarter.
- Cloudflare's one-year report found that as of June 2026, 52% of crawler requests were for AI training, up from 22% in spring 2025.
Introducing DataDome’s Hosted MCP Server for Direct AI Agent Access to Trend Reports
Recorded impact score: 3.5/5
DataDome announced the launch of its Hosted MCP Server, enabling direct AI agent access to trend reports. This product update expands DataDome's AI agent trust and management capabilities.
Scraping Sites Protected by Cloudflare, DataDome, PerimeterX
Bot detection & scraping infrastructure · Recorded impact score: 3/5
This technical guide explains how modern anti-bot systems block web scrapers and describes practical, probabilistic strategies to collect public data reliably. It outlines four independent detection layers—IP reputation, TLS/HTTP fingerprint, a JavaScript sensor, and behavioral signals—and explains why simple header spoofing fails. The article compares vendor behaviours (Cloudflare, DataDome, PerimeterX/HUMAN, Akamai, Kasada), shows how clearance cookies are IP-bound, and recommends an escalation pattern: Chrome-impersonated HTTP, hardened stealth browsers, and racing fresh IPs with cookie reuse. The guide also contrasts IP tiers (datacenter, residential, mobile), warns that success is never 100% and stresses counting only real pages as successes. It positions Crawlora's Web Scraping API as an example service implementing these techniques.
- Modern anti-bot systems evaluate four independent layers: IP reputation, TLS/HTTP fingerprint, a JavaScript sensor, and behaviour over time.
- Cloudflare issues a cf_clearance cookie bound to IP and User-Agent after a managed challenge; changing IP voids the cookie.
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Questions about DataDome
What is DataDome?
DataDome is a B2B software company that helps organisations detect and block bots, ad fraud, account abuse, API attacks and related automated threats.
Who uses DataDome?
It is used by enterprise security, fraud, infrastructure and digital operations teams, along with advertisers, publishers, marketplaces and e-commerce platforms.
How does DataDome make money?
It earns revenue mainly from enterprise SaaS subscriptions priced by traffic, protected assets and enabled protection modules, with additional support-related fees.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
18 publicly documented primary sources and citations linked across the market graph.
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