M D Sathees Kumar

Spearheaded end-to-end product security initiatives, significantly reducing open vulnerabilities from 70 to 24 (65% reduction) within 60 days by integrating AI-powered tools (e.g., GitHub Copilot/Codex) for automated patching.

Achieved ISO 27001 certification in 60 days by implementing automation-driven compliance workflows, streamlining evidence collection and policy alignment without compromising quality.

Closed all critical SOC 2 readiness gaps within 45 days using Sprinto to automate control mapping, continuous monitoring, and audit preparation.

Managed vendor risk assessments to balance business enablement and security, evaluating third-party vendors and completing security questionnaires for customer TPRM requests.

Developed and implemented AI-driven security solutions, leveraging Retrieval-Augmented Generation (RAG) and LangChain to create advanced product use cases compliant with OWASP Top 10 LLM/Generative AI security standards.

Led the development and deployment of advanced cybersecurity platforms, including an External Attack Surface Management system, Brand Management platform, Dark & Deep Web Monitoring, and a Threat Intelligence platform, enhancing overall security posture.

Orchestrated comprehensive security and technical initiatives, ensuring the seamless integration of cutting-edge cybersecurity measures to align with strategic organizational goals and business objectives.

Compromised a healthcare enterprise network within 12 days using MITRE-aligned red teaming techniques, identifying critical vulnerabilities and strengthening defense solutions.

Developed over 35 new SIEM use cases to detect zero-day vulnerabilities, ransomware behaviors, and CVE threats, enhancing real-time threat capture.

Engineered a cost-efficient DDoS attack scalable solution using 2,500 cloud instances, simulating L3, L4, and L7 attacks, reducing incident response costs by 30% through critical network vulnerability resolution.

Designed and implemented an External Attack Surface Management system, improving patch management efficiency by 60% through comprehensive asset cataloging and risk prioritization.

Automated alert systems for critical vulnerabilities from social media and dark web leaks, reducing manual effort by 80% and enabling prompt stakeholder notification.

Developed a Python-based classification system using OpenAI and Random Forest algorithms to filter breach messages from Telegram channels, accurately notifying customers of relevant threats.

Developed an undetectable phishing infrastructure for credential harvesting and malware delivery, successfully compromising over 45 employee credentials and affecting more than 10 employees within a month.

Conducted extensive VAPT for various sectors, including banking, healthcare, and IT applications, identifying multiple critical vulnerabilities in web, network, and API applications.

Performed static and dynamic analysis on delivery and banking Android applications, executing web application penetration tests following OWASP Top 10 methodology using tools like Burp Suite, Nuclei, and Fuff.

Developed a Python-based Nmap scanner for Cloud VPS, efficiently processing up to 1000 IP addresses in cloud environments and enhancing security coverage across distributed instances.

Conducted Open Source Intelligence (OSINT) operations, disclosing employee email accounts and personal information for an IT company to identify security gaps.

Executed penetration tests on internal web applications, identifying critical issues such as access control weaknesses, business logic flaws, and security misconfigurations.

Conducted comprehensive vulnerability assessments on servers, network devices, and infrastructure, ensuring compliance with security baselines.

Delivered detailed reports outlining business risks and impacts of identified vulnerabilities to facilitate informed remediation strategies.