Know the bot behind the name.
A familiar User-Agent is not proof of identity. Verify known crawlers and identify bots pretending to be Google, Bing, or other trusted services.
Explore bot policies
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Protect the routes that matter to your store, with verification that adapts to context and risk.
From search crawlers to aggressive automation, treat traffic according to what it actually is.
A familiar User-Agent is not proof of identity. Verify known crawlers and identify bots pretending to be Google, Bing, or other trusted services.
Explore bot policiesApply targeted rate limits and behavioral scenarios to logins, payments, forms, and resource-heavy pages. Keep essential integrations flowing with scoped exceptions.
Explore decisionsBlock unwanted requests before they reach PHP. Under-attack mode tightens protection when traffic spikes, with safeguards for trusted visitors and services.
See the architectureInvisible browser checks, proof-of-work, and interactive challenges add verification where needed. Clearance tokens help recognised visitors continue.
Human interaction signals, TLS hints, header consistency, and request patterns help distinguish customers from automated abuse.
Protect REST and GraphQL, login and checkout flows with route-aware controls, WAF inspection, and targeted virtual patches.
Manage shared protection across your fleet with per-site overrides, scoped exceptions, and coordinated decisions.
Request exploration, geographic insights, latency and cache metrics, plus Prometheus and Grafana monitoring, bring operations into focus.
Simulation, backtesting, audit trails, and signed policy snapshots support a measured approach to protection changes.
Combine browser checks, clearance, and behavioural signals to distinguish normal browsing from aggressive collection.
Use proof-of-work and targeted limits on expensive routes before automated requests turn into costly Magento queries.
Recognise repeated attempts and apply route-specific controls to credential stuffing and automated registrations.
Evaluate patterns across payment and checkout requests. Apply targeted controls while accounting for existing sessions and payment integrations.
Separate browser API traffic from authenticated machine integrations. Apply appropriate verification, rate limits, and inspection.
Inspect sensitive routes and use targeted virtual patches as an additional layer alongside timely application updates.
Three illustrative ways verification can appear. These are design examples, not screenshots of the live product.
Lightweight browser and environment checks establish context while a visitor browses.
A customer keeps browsing. Verification runs behind the scenes; no challenge screen is shown.
Checking your browserA quick security check is in progress.
Adjust the work required to the request context. Proof-of-work raises automation costs and is combined with other signals.
An automatic verification screen can appear while the browser completes a computational check. Timing depends on the configuration and device.
One more stepHelp us keep this store secure.
Use interaction-aware challenges and accessible alternatives when additional verification is appropriate.
A visitor may be asked for interaction evidence. The exact challenge and accessible alternative depend on the configured experience.
Static previews for illustration only. These examples do not perform security checks or collect visitor data. Final screens may differ and can be replaced with real product images.
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