AI For Bot Detection

Bot Management Made Simple: How we use AI to automate and improve bot detection for our clients.

‍How effective is Bot Management Software?

Bot Detection Strategy: How can we measure efficacy?

Red Team Versus Blue in Cybersecurity for Bots

How Adversarial Combat Models can train AI to help detect and respond dynamically to Bot Threats.

Human or Bot and the role of AI in Bot Detection.

Human or Bot - detecting the difference using AI

User Experience pitfalls and Bots:

Measuring the Negative Impact on User Behaviour of anti-bot methods

How to Block Bad Bots

Using Cohort Analysis to Determine which bots to block

CAPTCHA needs to Evolve

Upgrade Your Bot Protection: The Future of CAPTCHAs

Why API Rate limiting sucks

API Rate Limiting - when your only tool is a hammer. Your customers become the nail.

Dynamic Rules for Bot Management

Stop Making up rules: how dynamic rules for bots work?

Richard Jones

Automating Bot Verification

Automate bot verification with a bot management tool - stop looking at weblogs

API Behavioural Protection

Preventing API Scraping using ML for Behavioural Detection

Protecting Sensitive Paths from ATO

Path Protection the Right Way

Understanding Bot Threat Scores

Assessing Real-world Risk from Automated Traffic / Bots

Measuring Risk From Bots

Identifying and Managing Bot Risks

Bot Detection Accuracy Matrix

Validation Metrics for Bot Detection - how to assess the efficacy of bot detection using a confusion matrix

ML for Bot Management

What are the Challenges and Opportunities of using AI and ML for CyberSecurity? Fighting back against AI stealing your data.

API Endpoint Protection

Edge of network API Protection

Ready to get protected?

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