NOVEL ONLINE FREE Chapter 38: Time to Work
With their office set up and the servers humming in the background, Matthew wasted no time diving into the next critical step—building the foundation of their online presence. The website would serve as their company's face, a platform to introduce their upcoming privacy and security software while simultaneously establishing credibility in the market.
He sat at his workstation, his laptop screen glowing with lines of code. "Alright, first things first—we need a functional website," he muttered to himself.
Matthew opted for Next.js for the frontend, given its speed and search engine optimization (SEO) capabilities, combined with Node.js and Express.js for the backend to ensure scalability. For the database, he set up a PostgreSQL instance, allowing structured data storage while also integrating Redis for caching, ensuring fast loading speeds for visitors.
He set up a simple homepage with:
A clean, minimalist design, ensuring fast load times and easy navigation.
A hero section that immediately conveyed their value proposition: "Revolutionary Privacy Protection: AI-Powered, Real-Time, and Decentralized."
A brief introduction to their technology, explaining their approach to security, including real-time anomaly detection and quantum-resistant encryption.
A call-to-action (CTA) for early access, collecting email addresses from potential users who wanted updates.
He integrated Google Lighthouse to monitor performance and accessibility. After fine-tuning the mobile responsiveness, he deployed the frontend on Vercel and the backend on AWS EC2, ensuring high availability.
With the basics in place, Matthew opened a new terminal window and began setting up Cloudflare for DNS management and SSL encryption, ensuring the website was protected from the outset.
By the time he was done, the website was functional. It wasn't fully optimized yet, but it was a strong starting point.
Next on his agenda was identifying potential clients—the corporations that had suffered the worst data breaches. Companies that had previously been hacked would be the most likely to invest in enhanced cybersecurity solutions.
Matthew leaned back, cracked his knuckles, and started researching.
Using a combination of Google Dorks, Dark Web data leaks, and reports from cybersecurity firms like Kaspersky, McAfee, and Palo Alto Networks, he compiled a list of major breaches that had occurred in recent years.
And after hours of research, he found out there are seven huge corporations suffering from data breach.
Equifax, Yahoo, Facebook, Marriott, Capital One, Uber, Linkedn. These companies alone suffered billions of dollars in damages due to negligence alone.
He analyzed why there was a data breach. In Equifax, the breach occurred due to an unpatched Apache Struts vulnerability, which attackers exploited for months before detection. Had they implemented real-time anomaly detection, the breach could have been mitigated.
As for Yahoo, poor encryption and credential stuffing attacks resulted in one of the biggest breaches in history. Stronger user-controlled privacy dashboards could have prevented mass credential leaks.
As for Facebook, the leak occurred due to misconfigured AWS S3 storage, making data public by default. Advanced AI-driven security monitoring could have flagged the vulnerability earlier.
As for Marriott, attackers gained unauthorized access to the reservation database and remained undetected for years. Had data rewind technology been in place, they could have restored clean backups instantly.
As for Capital One, a misconfigured firewall allowed attackers to scrape sensitive credit data. This breach demonstrated the importance of predictive firewall monitoring, which could have detected unusual traffic.
Now that he had identified companies that had suffered major breaches, the next step was determining how to approach them.
Reaching out to corporations like Facebook with a cold email was one thing—but proving the effectiveness of their software in a real-world scenario was another. If he wanted to get their attention, he had to show, not just tell.
"Alright," he muttered, pulling up his notes. "Let's give them something they can't ignore."
Instead of simply pitching his security software to Facebook, he would deploy a test version of his program into their system for 24 hours. If their team noticed improvements in security metrics, they would naturally want to reach out for a long-term partnership.
But there was a challenge—Facebook's infrastructure was complex, highly protected, and run by some of the best engineers in the world. He couldn't just install software into their systems without permission.
However, he had another approach.
Offer a limited-time trial where their team could observe its effects firsthand.
If they saw an improvement in security within 24 hours, they would be much more willing to negotiate.
Matthew cracked his fingers and got to work.
He opened his terminal and initialized a Docker container to ensure the trial version of the software was isolated and easy to deploy.
Core Features for the Trial Version:
Real-Time Anomaly Detection: The system would scan logs and identify unauthorized or suspicious access attempts in real-time.
Encryption Reinforcement: The software would analyze weak encryption methods within their network and suggest immediate fixes.
AI-Powered Firewall Enhancement: The firewall would learn from past attack patterns and automatically adjust security protocols.
Data Integrity Checker: A mechanism to identify inconsistencies in stored data, flagging possible breaches.
Since Facebook had a large-scale, microservices-based architecture, Matthew made sure the software was lightweight and did not interfere with existing security measures. The goal was to augment their system, not replace it.
After 10 hours of coding, fine-tuning, and debugging, the trial version was complete.
Now, he needed a way to send it to Facebook.
Matthew drafted a concise and direct email to Facebook's Chief Security Officer (CSO) and their cybersecurity team.
[Subject: A 24-Hour Security Enhancement Trial for Facebook
I hope this email finds you well. I am reaching out to introduce a proactive cybersecurity tool that can enhance Facebook's existing security framework. Our technology has been designed to detect and mitigate unauthorized data access in real-time while reinforcing encryption security and firewall adaptability.
Instead of a traditional pitch, I would like to offer a 24-hour trial version of our system—completely free of charge. This trial can be seamlessly integrated into your current infrastructure, allowing you to observe its effectiveness firsthand.
Key Benefits You'll See in 24 Hours:
Real-time anomaly detection to flag potential breaches before they escalate.
Automated firewall enhancements that adapt based on incoming threats.
Immediate encryption analysis to patch weaknesses in your system.
Zero interference with your existing security measures.
Our team is confident that within 24 hours of deployment, you will witness a measurable increase in security efficiency.
If you're open to testing the trial version, we can set up a secure API connection at your convenience.
Looking forward to your response.
]
He reviewed the email multiple times before sending it.
Now, all he could do was wait.