How I Built a MITM Detection Tool That Saved My Client $2M

Last month, I discovered a sophisticated man-in-the-middle attack at a Fortune 500 client that could've cost them millions. This experience led me to develop a MITM detection SaaS that's now generating $15K MRR.

The Problem:

• Client's remote employees were getting intercepted

• Traditional security tools missed it for WEEKS

• Potential data breach could've been catastrophic

My Solution: Built a real-time MITM detection system that:

• Monitors certificate changes across networks

• Detects ARP spoofing attempts

• Alerts on suspicious network patterns

• Provides instant remediation steps

Early Results:

• 3 enterprise clients in first month

• $15K MRR and growing

• 99.7% detection accuracy

• Prevented 2 major breaches already

Key Learnings:

1. Solve problems you've personally experienced

2. Enterprise security = high willingness to pay

3. Real-time alerts > post-breach analysis

4. Simple UI beats feature overload

For those interested in the technical details behind MITM attacks and prevention strategies, I wrote a comprehensive guide here: https://ncse.info/man-in-the-middle-attacks/

Currently working on:

• API for integration with existing SOCs

• ML-based pattern recognition

• Expanding to cloud-native environments

Anyone else building in the cybersecurity space? Would love to connect and share insights!