AI-Powered Zscaler
Security Assessment

Get deep visibility into your Zscaler deployment's security posture with our complimentary AI-powered assessment service. Identify security gaps, policy misconfigurations, and optimization opportunities that traditional reviews might miss.

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Zscaler Assessment

Executive Summary

DiGiForces offers a complimentary, AI-powered Zscaler security assessment service that provides organizations with deep visibility into their Zscaler deployment's security posture.

Advanced AI Analysis

By leveraging advanced AI analysis of Zscaler logs and configurations, our service identifies security gaps, policy misconfigurations, and optimization opportunities that traditional reviews might miss.

Actionable Recommendations

This assessment delivers actionable recommendations to strengthen your security posture with minimal resource investment from your team. This helps to maximise your investment in the tool.

The Challenge

Organizations implementing Zscaler often struggle with:

Complex Policy Configurations

Complex policy configurations that create unintended security gaps

Insufficient Visibility

Insufficient visibility into user behavior and application usage

Certificate Management Issues

Certificate management issues that introduce security risks

Consistency Challenges

Difficulty maintaining consistent security across access methods

Limited Resources

Limited resources for continuous security posture monitoring

Security Challenges

Our Solution

The DigiForces AI-powered Zscaler Assessment provides:

Comprehensive Analysis

Comprehensive analysis of Zscaler web logs and configuration data

AI-Driven Recognition

AI-driven pattern recognition to identify security anomalies and risks

Policy Recommendations

Detailed policy recommendations with implementation guidance

Remediation Roadmap

Prioritized remediation roadmap based on risk severity

Proven Results

Our assessments have helped organizations achieve:

65%

Reduction in security incidents

40%

Improvement in policy effectiveness

25%

Optimization in Zscaler performance

30%

Reduction in administrative overhead

Assessment Methodology

1. Data Collection

  • Secure collection of Zscaler logs (minimum 30 days recommended)
  • Configuration export from Zscaler Admin Portal
  • Optional policy documentation review
  • Brief stakeholder interviews to understand business context

2. AI-Powered Analysis

Our proprietary AI platform analyzes your Zscaler data across multiple dimensions:

  • Certificate security analysis
  • Application usage patterns and risk assessment
  • Policy enforcement effectiveness
  • SSL/TLS inspection coverage
  • URL categorization and filtering effectiveness
  • User behavior and access patterns
  • Threat detection capabilities
  • Data loss prevention controls

3. Risk Assessment

  • Identification of security gaps and policy misconfigurations
  • Risk scoring based on severity, prevalence, and business impact
  • Comparison against industry benchmarks and best practices
  • Compliance alignment analysis (optional)

Deliverables

Executive Summary Report

  • High-level overview of assessment findings
  • Key risk areas with business impact analysis
  • Strategic recommendations and implementation timeline
  • Benchmark comparison with industry peers

Technical Assessment Report

  • Detailed analysis of all security findings
  • Comprehensive policy recommendations with implementation steps
  • Configuration templates and examples
  • Technical metrics and supporting data

Implementation Roadmap

  • Prioritized action plan based on risk severity
  • Phased implementation approach (30/60/90/180 day plan)
  • Resource requirements and effort estimates
  • Success metrics and validation methods

Why DigiForces?

AI Advantage

  • Pattern recognition across millions of data points
  • Identification of subtle security gaps traditional analysis might miss
  • Continuous learning from evolving threat landscape
  • Correlation of seemingly unrelated security indicators
  • Properity AI-driven platform

Zscaler Expertise

  • Certified Zscaler technical professionals
  • Experience with enterprise-scale Zscaler deployments
  • Deep understanding of Zscaler architecture and capabilities
  • Up-to-date knowledge of latest Zscaler features and best practices

Engagement Process

1. Initial Consultation

Brief discussion to understand your environment and objectives

2. Data Collection

Secure transfer of Zscaler logs and configuration data

3. AI Analysis

1-2 weeks of comprehensive data analysis

4. Findings Review

Presentation of key findings and recommendations

5. Report Delivery

Complete documentation and implementation roadmap

6. Optional Follow-up

Implementation guidance and validation

Get Your Assessment

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