Bot Management

Intelligent Bot Management

Control bots that try stolen passwords, scrape content, or overload your website and APIs. Peakhour uses IP, proxy, fingerprint, and request behaviour signals to allow, challenge, rate limit, or block requests. Review the results in logs and dashboards to tune your rules.

Bot management workflow showing fingerprint nodes, behaviour timelines, scraper signatures, bot scores, and allow, challenge, or block outcomes.

Plan setup, a trial, and ongoing review

Start with the pages where bots cause a clear problem, such as login, search, or checkout. Bring those URLs, request volumes, your current CDN, and your goals to a setup and pricing discussion.

  1. Choose the setup. Discuss Peakhour Edge or adding Peakhour intelligence to your current CDN or edge provider. Confirm which approach fits your application and who will manage the rules.
  2. Agree on a trial plan. Choose the pages to assess and record current request rates, failed logins, and successful customer visits. Agree on the scope, timing, and costs with the team.
  3. Review the controls. Check allow, challenge, rate limit, block, and log actions against the traffic on each page. Review useful crawlers and customer requests before expanding the rules.
  4. Set up logging. Use request logs and dashboards to review actions and traffic changes. Log Forwarding can send enriched request logs to your security monitoring tools, storage, or an HTTP endpoint.

During the evaluation, check whether unwanted requests fall, whether the application handles less bot traffic, and whether customers can still complete their tasks.

Where Sophisticated Automation Gets Past Simple Bot Rules

Bots can rotate IP addresses, browser fingerprints, credentials, and request rates. Review how they use each page to choose suitable controls.

Private Networks Evade Static Lists

Attackers increasingly assemble private and residential proxy networks before public datasets can label them. Review proxy status alongside request behaviour when choosing a response.

Fingerprints Drift Under Pressure

Anti-detect browsers and automation frameworks alter TLS, HTTP, browser, and device signals. A decision model has to compare those changes with behaviour and route context.

Route Abuse Needs Route Context

Ten requests per second means one thing on a static asset and another on login, checkout, search, or account APIs. Peakhour applies controls where the business risk appears, including rate limits and Layer 7 DDoS response when volume turns into origin pressure.

Review Each Action

Allow, challenge, rate limit, block, and log decisions stay tied to the signals that drove them, so teams can tune policy without guessing.

How Peakhour Assesses Bot Requests

Peakhour scores each request from the context that actually changes the decision: IP intelligence, residential proxy detection, network and browser fingerprints, route and rate behaviour, credential exposure, API path state, DDoS pressure, and WAAP/WAF findings. Use Peakhour Edge as the delivery layer, or add Peakhour intelligence to your existing CDN or edge provider without moving every workload at once.

  • IP intelligence and residential proxy signals
  • Network, TLS, HTTP, and browser fingerprinting
  • Route-aware rates and behaviour baselines
  • Credential, account, and API context
  • WAAP/WAF findings and decision logs
  • Layer 7 DDoS pressure and origin-protection context

High-Value Threat Focus: AI and LLM Scraping

As AI agents and large-scale crawlers increase request volume, protecting proprietary content and pricing signals becomes critical. Peakhour identifies LLM-driven and automated scraping behaviour even when traffic hides behind fresh proxy exits, anti-detect browsers, or private networks.

Precise Control at the Decision Point

Use policy controls to target specific threats and select actions by request route, API method, credential state, WAAP finding, risk score, behaviour profile, and traffic pressure. Move from blanket mitigation to precise allow, challenge, rate limit, block, and log decisions that protect origin capacity without hiding the reason a request was treated differently.

Review Bot Traffic and Rule Results

Use dashboards, logs, and event streams to review attack types, request actions, affected pages, and rate limits over time. Check valid requests that were challenged or blocked, then adjust the rules as needed.

Action Allow, challenge, block Track mitigation mix
Category Scraping and takeover See what changed
Logs Route and signal logs Explain outcomes

Review bot categories, request actions, and traffic trends together.

Plan Your Bot Management Evaluation

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Compare bot management options

Use these guides to check how each provider fits your traffic and your team's work. Record the tests, results and owners in the security evaluation worksheet.

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