Mastering Cyber Security: Advanced VAPT and Beyond

Prepare for the assessment by defining scope, building an asset inventory, gathering network diagrams and architecture docs, and selecting tools to test assets, with management buy-in and clear boundaries.

Conduct a methodical vulnerability assessment using automated scans and selective manual testing, interpret results, classify and prioritize vulnerabilities, and document with standards to support remediation planning and continuous improvement.

Demonstrate Nessus vulnerability scanning in action, compare with OpenVAS, and scan a Metasploitable VM. Learn host discovery, network scans, vulnerability severity, and generating CVE-based reports.

Prioritize high-risk vulnerabilities by evaluating exploitability, impact, environmental and regulatory context, and fixability to strategically allocate resources for effective pen testing.

Explore how vulnerability assessment leads to penetration testing by tracing an attacker’s steps—from reconnaissance and exploitation to lateral movement and data exfiltration—using smart thermostat breach as case study.

Compare black box, white box, and gray box penetration testing to simulate different attacker knowledge, using tools like nmap and metasploit to assess external and internal vulnerabilities.

Execute a SQL injection penetration test by identifying entry points and using sqlmap and Burp Suite to test error-based and blind injections, then remediate with input validation and prepared statements.

Recap transitioning from vulnerability assessment to pen testing, prioritizing findings, and using OWASP, ZAP, SQLMap, Kali Linux, Nmap, and Metasploit with NIST and OWASP guidelines to document findings.

Master application security across the lifecycle to protect data integrity and privacy, and counter threats like sql injection and xss with secure coding and testing.

Learn how to embed security into every phase of the secure software development lifecycle, from requirements to maintenance, using threat modeling, secure coding, testing, and monitoring.

Apply input validation, robust error handling, and least privilege to minimize defects, while using code reviews and static/dynamic analyzers to prevent cross-site scripting.

Demonstrate the dynamic application testing tool AFL for fuzz testing C and C++ apps, covering installation, preparing a test corpus, and analyzing crashes, hangs, and memory vulnerabilities.

Explore why securing machine learning applications matters, detailing data, model, and infrastructure security, common threats like data breaches and adversarial attacks, and practical defense concepts.

Learn containerization basics and secure container practices within a DevSecOps pipeline, covering minimal base images, image scanning, signing, runtime monitoring, Kubernetes orchestration, network policies, and secrets management.

Concludes the DevSecOps section by tying security as code, software composition analysis, and containerization to cybersecurity governance, compliance, and documentation for government frameworks and certifications.

Explore key cybersecurity standards and certifications—ISO 27001 and ISMS, NIST CSF, GDPR, Cyber Resilience Act, PCI DSS, and HIPAA—and how they shape governance, risk, and compliance.

Explore SOC 2's five trust service criteria—security, availability, processing integrity, confidentiality, and privacy—and how service organizations protect customer data with practical controls and tools.