Cybersecurity & AI Security Assessment

Identify security gaps across your enterprise systems, data pipelines, cloud environments, and AI-enabled workflows. 

 

ArtifiCraft helps organizations assess classical cybersecurity risks and emerging AI-specific risks to protect data, infrastructure, models, and business-critical processes. 

 

Duration: 2–4 weeks 
Best for: Companies using AI, cloud systems, sensitive data, or regulated digital processes. 

CTA: Request a Security Assessment 

The Challenge

As organizations integrate AI and LLM-based tools into enterprise systems, cybersecurity becomes even more critical. 

 

AI systems depend on data, infrastructure, integrations, access controls, cloud environments, and operational workflows. If these foundations are weak, AI can amplify existing vulnerabilities. 

 

Common risks include: 

  • Insecure system architecture
  • Weak access control  
  • Sensitive data exposure  
  • Poor cloud security configuration  
  • Insufficient monitoring  
  • AI-specific misuse risks  
  • Unclear security governance  
  • Lack of alignment between cybersecurity and AI governance  

Who This Is For

This assessment is designed for organizations that: 

  • Use AI, automation, cloud systems, or sensitive data
  • Want to identify cybersecurity and AI-related risks  
  • Operate in regulated or compliance-sensitive sectors  
  • Need a practical security improvement roadmap  
  • Want to connect cybersecurity, data protection, and AI governance  
  • Are preparing to scale digital or AI-enabled systems

What We Assess

System and Architecture Security 
We review the security posture of applications, integrations, infrastructure, and cloud or hybrid environments. 

Data Protection and Access Control 
We assess how sensitive data is handled, accessed, protected, and monitored. 

Cloud and Infrastructure Risks 
We evaluate cloud configuration, architecture patterns, operational exposure, and resilience. 

AI-Specific Security Risks 
We assess AI-enabled workflows for risks related to data leakage, misuse, weak oversight, or unsafe integrations. 

Security Governance 
We review whether security responsibilities, policies, and controls are clearly defined and operationally practical. 

What Is Included

  • Security risk review
  • Data protection and access control analysis  
  • Cloud and architecture security assessment  
  • AI-specific risk evaluation  
  • Security improvement roadmap  
  • Cybersecurity and AI security assessment report
  • Risk and vulnerability overview  
  • Data protection and access control findings  
  • AI-specific risk summary  
  • Prioritized security improvement roadmap  
At the end of the assessment, you receive:

Deliverables

Our Process

Discovery & Scope Definition
Discovery & Scope Definition
We define the systems, workflows, data environments, and AI components to be reviewed.
Security Review
Security Review
We assess architecture, access controls, data handling, cloud setup, integrations, and operational risks.
 AI-Specific Risk Analysis
AI-Specific Risk Analysis
We evaluate AI-related workflows, data exposure, model usage, and governance gaps.
Findings & Prioritization
Findings & Prioritization
We classify findings based on risk level, business impact, and implementation urgency.
Roadmap Presentation
Roadmap Presentation
We walk through findings, answer questions, and align on future actions.

Outcome

You receive a practical view of your cybersecurity and AI security gaps, along with prioritized actions to reduce risk and strengthen system resilience. 

Why ArtifiCraft

ArtifiCraft approaches cybersecurity and AI security together. We understand that responsible AI depends on secure architecture, protected data, controlled access, resilient infrastructure, and governance-aware engineering.