Application Security
Cyberfraud Protection Platform
Bot and AI agent trust management stopping cyberfraud across websites, mobile apps, and APIs.
Cyberfraud Protection Platform Overview
What it does
The Cyberfraud Protection Platform is a bot management and AI agent trust platform that classifies every request to websites, mobile apps, APIs, and Model Context Protocol (MCP) servers as human, bot, or AI agent, then decides in real time based on the traffic's intent rather than its identity alone. Its detection engine layers signature, behavioral, and reputational machine learning models that process each request in under 2 milliseconds across 35+ global points of presence, learning from 5 trillion signals per day.
How it works
DataDome deploys via server-side modules for CDNs, web servers, and API gateways plus a client-side tag and mobile SDKs, forwarding signals to a detection engine that returns allow, block, challenge, or monetize decisions. Five modules cover distinct fraud surfaces: Bot Protect with Agent Trust for bot and AI agent governance, Account Protect for account takeover and fake accounts, DDoS Protect for Layer 7 attacks, Priority Protect for intent-aware waiting rooms, and Ad Protect for click fraud. An agent catalog identifies each AI agent through cryptographic verification and fingerprinting, assigns a per-customer Trust Score, and enforces per-agent policies including monetized access.
Credentials and traction
SOC 2 Type II certified, audited by Coalfire, with GDPR and CCPA compliance documented in a public trust center. DataDome was named a Leader in The Forrester Wave: Bot and Agent Trust Management Software, Q2 2026, with the highest scores possible in 12 criteria, and its Account Protect module won Most Innovative Account Takeover Protection at the 2025 Global InfoSec Awards. Customers include PayPal, Etsy, SoundCloud, Vinted, Allegro, and Leboncoin across e-commerce, ticketing, media, and financial services.
Key Capabilities
mapped to solution categoriesDetects automation through layered client-side and server-side detection models - behavioral, device, network, and challenge signals - resilient to AI-driven evasion and CAPTCHA-solving services.
Determines and surfaces the intent behind automated traffic - distinguishing malicious bots, benign automation, LLM crawlers, and human-delegated AI agents - so policy decisions rest on what the traffic is trying to do, not only whether it is automated.
Establishes and manages trusted relationships with legitimate AI agents: an out-of-the-box library of known agents plus granular per-agent permissions and policies governing what each agent may access and do.
Protects account creation, login, and session flows against credential stuffing, account takeover, and fake-account abuse, building per-account trust from user, device, and session signals.
Protects high-value transaction flows (checkout, payments, hype sales, registrations) from automated abuse while prioritizing legitimate human and agent-delegated transactions.
Detects and governs content scraping, including LLM training and retrieval crawlers: blocking value-damaging scrapers while permitting or monetizing sanctioned automated access.
Keeps automated traffic out of marketing analytics and ad spend: clean-traffic reporting, ad-fraud protection, and integrations that reconcile bot activity with marketing and e-commerce platforms.
Explains why traffic was classified as bot, agent, or human in human-readable terms (reason codes, telltales, AI-generated detection summaries) so customers can audit and tune decisions.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on July 30, 2026
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