.png)
Security testing is often a slow, manual, and resource-intensive process, creating bottlenecks for organizations that need to identify and mitigate vulnerabilities before they become exploits.
Traditional Vulnerability Assessment & Penetration Testing (VAPT) methods rely heavily on manual workflows, making it difficult to:
When Kratikal secured a $100K government-funded project to build a next-generation security automation tool, I was tasked with designing, developing, and leading the end-to-end execution of AutoSect—a compliance-driven, AI-enhanced VAPT platform.
AutoSect was designed from the ground up to streamline security testing, reducing the time to detect vulnerabilities by 75% while increasing detection accuracy by 50%.
Some of the key capabilities of AutoSect includes:
- Automated Vulnerability Scanning – Integrated with Nuclei, Burp Suite, and OpenAI APIs to identify security flaws across web and mobile applications in real-time.
- Intelligent Reporting & Compliance Automation – Security teams could generate automated reports in various formats, tailored to industry standards like OWASP, ISO, and PCI-DSS.
- Asset Management & Sharing Capabilities – Enabled companies to track security assets (web, mobile, cloud) and collaborate securely across teams and external stakeholders.
- Customizable IAM & Authentication – Implemented a flexible Identity & Access Management (IAM) system for enterprise-grade security, including role-based access controls (RBAC).
- Seamless Integration with DevSecOps Tools – Built-in integrations for JIRA, Slack, Microsoft Teams, and other external security platforms, ensuring smooth security workflow adoption.
I joined Kratikal Tech as a Software Development Intern, and six months in, I was entrusted with AutoSect’s architecture and backend design. As the project gained momentum, I was promoted to lead the initiative, managing a cross-functional team of 7 engineers, security testers, and product stakeholders.
As the Product Owner & Lead Developer, I:
- 75% Faster Security Testing – AutoSect dramatically reduced manual effort in penetration testing and vulnerability detection.
- 50% More Accurate Vulnerability Identification – AI-powered scanning enhanced detection accuracy, reducing false positives.
- Successful Delivery of a $100K Government Project – The tool was launched on time and exceeded security compliance benchmarks.
- Enterprise Adoption & Market Viability – AutoSect was successfully integrated into existing DevSecOps pipelines, improving security response times.
Scaling a security product requires both technical and strategic execution – From architecture decisions to stakeholder alignment, leading AutoSect gave me hands-on experience in balancing business needs with product development.
Security & compliance automation is the future of DevSecOps – Organizations need faster, AI-driven solutions to keep up with evolving cyber threats. AutoSect proved that automated security testing can be both scalable and effective.
Cross-functional collaboration is key – Working alongside penetration testers, DevOps, and security teams reinforced the importance of iterative development and user feedback in building a robust security tool.
Developing AutoSect was a pivotal experience in my career. One that reinforced my passion for building impactful tech products that solve real-world challenges. It wasn’t just about writing code; it was about understanding security workflows, optimizing product-market fit, and driving innovation in cybersecurity automation.
As cybersecurity threats grow more sophisticated, AI-driven security solutions will play a crucial role in enabling businesses to stay ahead of vulnerabilities. AutoSect was just the beginning, and I look forward to working on more security-first, automation-driven solutions in the future.