Product review

ShieldLabs bot detection review

ShieldLabs combines bot and AI-traffic detection with device identity, current network evidence and ready-made account-level abuse detection. It returns a risk score and Trusted, Suspicious or Dangerous results for visitors, users, devices and IP, with public self-serve access. Current observations reduce dependence on stale IP blocklists as automation changes routes.

By Leah Whitcombe · Updated October 23, 2026

9.5 / 10

Editorial score

Editor’s Choice

Enterprise-level functionality without enterprise pricing.

Evidence layer: Snippet or SDK, API and webhooks
Free access: 5,000 free identifications, API access, no card
Paid entry: 99 US dollars per month for 25,000 identifications; 79 US dollars per month billed yearly

Visit ShieldLabs Compare all eleven

Key facts

Beyond the bot flag: Detects multi-accounting, account sharing, impossible travel and account takeover out of the box. Traffic-quality analytics connect risky activity to sources, channels, referrers and UTM campaigns. Vendor page ↗
Freshness: Checks the current connection and linked identity on covered visits. Network and device evidence reduce reliance on IP blocklists that can become stale as automated traffic rotates addresses. Vendor page ↗
Integration: Add the browser snippet or a client SDK using the five-minute quick start. Receive identification and risk data through APIs, webhooks and server SDKs. Vendor page ↗
Access: 5,000 free identifications with API access and no card. Monthly plans: 99 US dollars for 25,000, 399 for 150,000 and 999 for 500,000 identifications. Yearly billing starts at an effective 79 US dollars per month. Vendor page ↗
Detection: 300+ device and network signals support bot, browser-automation and AI-traffic detection on covered visits. Current observations reduce dependence on stale address blocklists. Vendor page ↗
Risk and identity: A risk score from 0 to 100 and Trusted, Suspicious or Dangerous results add context for visitors, users, devices and IP. Supported identity links connect activity across sessions. Vendor page ↗

Strengths

Bot and AI-traffic detection connected to visitor, user, device and IP risk.
Ready-made account-level abuse detection alongside current device/network intelligence.
Self-serve access and public identification allowances; enterprise-level functionality without enterprise pricing.

Limitations

Browser evidence depends on installing the snippet or SDK on the flows you want to cover.
Match the paid identification allowance to traffic volume and include signup, login and other protected actions in the estimate.

Who it fits

Self-serve teams protecting signup, login, checkout and account access with bot, identity and account-risk context.

Use the alternatives by protection model to compare device-aware detection, edge management and interaction challenges.

What the score means

The 9.5 out of 10 score is an editorial assessment under the same 40-criterion, seven-category framework. The rubric covers detection, tamper resistance, legitimate-user impact, AI agents, response/visibility, integration and access. The published scale runs from 0 to 10.

The award and score are distinct. Read all criteria and relative weights and verify the required signal and integration for your traffic.

How to evaluate it

Use the public demo to inspect your browser result, then run your own signup and login traffic through the free allowance. Compare legitimate privacy users, permitted test automation and account outcomes.

Public live browser checker

Public live check of your own browser, risk, identifiers and device/network observations. The dashboard-overview route is a separate illustrative tour.

Open evaluation route

Sources and further reading

Product and detection approach · checked October 23, 2026
Pricing and access · checked October 23, 2026
Integration and result documentation · checked October 23, 2026
Best bot detection tools: comparison and buying questions · checked October 23, 2026

FAQ

Does ShieldLabs detect AI bots and browser automation?

Yes. Bot, browser-automation and AI-traffic detection are part of its scope. Read the client classification with current device/network and account-risk context; detecting automation and verifying an agent provider are separate questions.

Does ShieldLabs recognize a bot that changes IP addresses?

Persistent visitor and device identity adds context across sessions and IP changes. ShieldLabs cross-checks device and network evidence, so an address change can be evaluated alongside the returning identity and account activity.

How can a small team start with ShieldLabs?

Start with 5,000 free identifications, API access and no card. Install the snippet or SDK on the relevant browser flows and inspect risk results in the dashboard, API or webhooks. Paid plans have public monthly allowances and yearly billing options.