Healthcare & Life SciencesCase Study

🛡️ Enhancing Web Security, Bot Protection, and Application Resilience with AWS WAF

Multi-Layered Cloud-Native Security for Critical Business Applications

AWS WAF & Bot Control
CloudFront Security
AWS WAF Web Security and Bot Protection

Customer Overview

The customer is a leading healthcare and life sciences market research and consulting organization serving global pharmaceutical, biotechnology, and healthcare clients. With thousands of research pages, reports, blogs, and lead-generation workflows, maintaining website security, performance, and accessibility is critical to business operations.

Business Challenge

Automated Bot Traffic

Increasing volumes of automated bot traffic and web scraping attempts targeting content and data.

Malicious Requests

Malicious requests targeting application and WordPress endpoints with potential exploits.

Reconnaissance Activities

Reconnaissance and vulnerability scanning activities from suspicious sources.

Suspicious Traffic

Suspicious traffic originating from anonymous networks and hosting providers.

Workflow Abuse

Abuse of critical business workflows and public-facing web applications.

Security Risks

SQL Injection, malicious payloads, and exploit attempts threatening data integrity.

The organization required a scalable cloud-native security solution capable of protecting business-critical web applications while ensuring uninterrupted access for legitimate users, customers, and search engine crawlers.

Solution Implemented

Zaptoz designed and implemented a multi-layered AWS WAF security architecture integrated with Amazon CloudFront to inspect and filter traffic at the AWS edge before requests reached backend applications.

The solution leveraged a combination of AWS Managed Rule Groups, Bot Control capabilities, Targeted Bot Detection (TGT), custom threat intelligence rules, and application-specific security controls.

Key Security Controls Implemented

AWS Managed Security Protection

  • AWS Managed Rules Common Rule Set (CRS)
  • AWS Managed Rules SQL Injection Protection
  • AWS Managed Rules Known Bad Inputs Protection
  • AWS Managed Rules WordPress Protection
  • AWS Managed Rules Anonymous IP Protection
  • AWS Managed Rules Amazon IP Reputation Protection
  • AWS Managed Rules Bot Control with Machine Learning-Based Detection
  • AWS Managed Anti-DDoS Protection

Advanced Bot Protection

  • Targeted Bot Control (TGT) with machine learning-based analysis
  • Detection of automated browsers and scraping frameworks
  • Token reuse detection across IPs, countries, and autonomous systems
  • Protection against automated abuse, reconnaissance, and suspicious automation patterns
  • Challenge, CAPTCHA, and block actions based on risk levels

Custom Threat Protection

  • Blocking of suspicious PHP and .env file access attempts
  • Protection against malicious user agents, automated scripts, curl, wget, and python-based scanners
  • SQL Injection inspection with high-sensitivity matching
  • Geo-restriction controls for high-risk regions
  • Rate-based controls to mitigate abusive traffic patterns
  • Custom protections for business-critical application endpoints

Search Engine & Business Traffic Protection

  • Allowlisting of verified search engine crawlers and business-critical bots
  • Controlled access for Google, Bing, LinkedIn, and approved automation services
  • Custom protections for lead-generation workflows, contact pages, proposal requests, and customer engagement forms

Business Outcomes

Strengthened Protection

Against web application attacks and automated threats

Reduced Exposure

To scraping, reconnaissance, and malicious bot activity

Improved Visibility

Into traffic behavior, threat patterns, and attack sources

Enhanced Protection

For customer-facing applications and lead-generation workflows

Reduced Overhead

Through AWS-managed security controls

Scalable Architecture

Cloud-native security aligned with AWS best practices

Improved Resilience

Against emerging bot and web application threats

AWS Services Used

AWS WAF
AWS Managed Rules
AWS Bot Control
Amazon CloudFront
Amazon CloudWatch
AWS CloudTrail
Amazon EC2
Amazon VPC
AWS IAM
AWS Secrets Manager
Amazon Inspector

Conclusion

By combining AWS WAF, AWS Managed Security Rule Groups, Advanced Bot Control, Targeted Bot Detection (TGT), and custom security policies, Zaptoz helped the organization establish a robust web security posture capable of protecting business-critical applications from evolving cyber threats.

The solution maintains seamless access for legitimate users and customers while providing comprehensive protection against malicious traffic, automated threats, and application-layer attacks.

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