AI Alone Is Not Enough: SMEs Still Need Experienced Cybersecurity Teams

However, terms like “AI penetration testing” and “no human required” can be misleading. Strix is not a full-fledged autonomous security solution—it is a tool to assist developers, not replace security professionals. 

What Strix Can Do 

Strix is primarily designed for application security testing. Its key capabilities include: 

• Automated application execution and attack surface exploration 

• Browser automation, proxy request analysis, and command-line execution tools 

• Multi-agent collaboration for simulating attacks 

• Automatic PoC generation with suggested fixes 

• Integration into CI/CD pipelines 

The Reality: Strix Relies on Large Language Models 

The “intelligence” behind Strix comes from large language models like ChatGPT or Claude. It does not have a dedicated, self-trained security model. 

This creates several limitations: 

• It cannot independently reason through complex attack chains 

• Deep business logic vulnerabilities are difficult for it to identify 

• Vulnerability assessment relies on tool outputs interpreted by LLMs 

In short, Strix is an automation framework that wraps existing security tools with LLM support, not a system capable of fully replacing professional security teams. 

Why the “AI Hacker” Concept Is Overhyped 

1. Business logic vulnerabilities still need human judgment 
   Many critical flaws stem from process design, not code errors. AI cannot reliably assess real business impact. 

2. Multi-step attack chains exceed current AI capabilities 
   Real-world attacks often span multiple systems and stages. LLMs are not consistently reliable for this level of reasoning. 

3. Risk assessment and compliance require human oversight 
   Determining whether a vulnerability impacts DSGVO compliance or other regulations cannot be left to AI alone. 

4. Tools identify “points” security requires seeing the “whole picture” 
   AI tools detect code-level flaws but cannot address configuration errors, supply chain risks, or privilege misuse. 

Why SMEs in the DACH Region Still Need MDR Services 

While Strix can improve vulnerability detection efficiency, overall enterprise security is far broader. Especially for SMEs in the DACH region, facing strict DSGVO compliance requirements, the areas AI cannot cover include: 

• 24/7 threat monitoring: attacks may come from networks, endpoints, or cloud services 

• Incident response: AI can flag anomalies but cannot make decisions or act 

• Risk assessment: determining which issues require remediation or reporting 

• Compliance documentation: AI cannot produce audit-ready security reports 

Professional MDR services remain essential, providing full coverage from detection to response. 

How to Use Strix Effectively 

1. Use Strix during development 

• Identify common vulnerabilities early 

• Reduce later-stage remediation costs 

2. Combine with human review 

• Assess PoCs for business risk and compliance 

• Ensure alignment with DSGVO and internal policies 

3. Integrate into CI/CD pipelines 

• Catch vulnerabilities before they reach production 

4. Use as a supplement, not a replacement 

• Automation accelerates testing, but MDR and security teams provide context, judgment, and coverage. 

Conclusion: AI Speeds Up Work, Humans Are Still Essential 

Strix demonstrates the potential of AI in application security. It automates many basic tasks and helps development teams reduce early-stage risks. However, it is not a “universal AI hacker” and cannot replace professional security expertise. Enterprise security still depends on experience, human judgment, and continuous monitoring. The most effective approach combines AI-powered acceleration, expert analysis, and MDR services. This combination ensures reliable, sustainable security—particularly for SMEs in the DACH region needing to maintain DSGVO compliance.