Mastering Cyber Security: Advanced VAPT and Beyond

Define the assessment scope and build an exhaustive asset inventory of software and hardware components. Use scanning tools, interpret results, and compile a clear report for diverse audiences.

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.

Identify and catalog all assets via the asset inventory to define scope. Explain how asset inventories enable targeted assessments, ownership, criticality, and recovery planning across cloud services.

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.

Develop clear, consistent, and comprehensive vulnerability assessment documentation and maps using standardized templates and standards (NIST SP 800-115, ISO 27001), detailing vulnerability descriptions, severities, reproduction steps, evidence, and remediation guidance.

Section two concludes vulnerability assessment with asset inventory for cloud components and SaaS, detailing configuration, severity, and recovery. Nessus scanning with Metasploitable VM informs a remediation plan before penetration testing.

Explore penetration testing methodologies, apply tools to assess vulnerabilities, understand cyber attack phases to exploit and report findings clearly, and connect with the vulnerability assessment for impact and remediation.

Master the phases of penetration testing, from vulnerability assessment and threat modeling to exploitation and post-exploitation. Learn to prioritize vulnerabilities, assess impact, and document findings through thorough reporting.

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.

Master vulnerability assessment through hands-on penetration testing techniques. Learn footprinting and reconnaissance with Nmap, DNS lookups, and Google hacking, then scanning with Nessus and Wireshark.

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.

Compare NIST SP 801-15 and OWASP frameworks, outlining planning, discovery, attack, and reporting, plus risk assessment, threat modeling, and web app testing components.

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.

Learn to use OWASP ZAP proxy and SQL Map to capture login data, monitor traffic, and test for SQL injection with manual exploration.

Learn how to use sqlmap to perform automated sql injection tests on a juice shop login page, including batch mode, payload options, and blind and time-based techniques.

Explore Kali Linux as a Debian-based platform for penetration testing and security auditing, and gain hands-on experience using Nmap and Metasploit to map networks, identify open ports, and assess services.

Document pen testing findings from Kali Linux tools into actionable reports with evidence, risk prioritization, and clear remediation guidance for stakeholders.

Learn to transition from vulnerability assessment to pen testing by prioritizing exploits and documenting findings with clear remediation strategies using tools like OWASP, ZAP, SQLMap, Kali Linux, Nmap, and Metasploit.

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.

Learn secure by design and secure coding practices, apply static and dynamic testing with Sonar cube and American Fuzzy Loop, and cover ML security.

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.

Security by design embeds security from the start of the software development life cycle, enforcing least privilege, secure defaults, threat modeling, and secure coding to prevent vulnerabilities from day one.

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.

Learn about static and dynamic application security testing tools, including SAST, DAST, and IAST, with RASP for real-time threat response, to identify vulnerabilities before deployment.

Demonstrates Sonarqube as an appsec tool that analyzes source code for vulnerabilities, highlights exact lines, and guides OWASP-based fixes in a cloud-based workflow with GitHub import from a public repo.

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.

Explore data poisoning, adversarial attacks, and model stealing and inversion in machine learning, and learn mitigation through data, model, and infrastructure security, with insights on anomaly detection and adversarial training.

Explore practical best practices and tools to secure ml applications across data collection, training, testing, and deployment, including encryption, access control, containerization, data poisoning defenses, and adversarial example testing.

Explore the shift-left approach and secure software development life cycle to embed security early throughout. Review SAST, DAST, IAST, RASP, SonarCloud, fuzz testing, and ML security practices.

Integrate security into devsecops by applying security as code in pipelines, explore software composition analysis with Fortify to detect open source vulnerabilities, and introduce container security considerations.

Integrate security into development and operations by adopting DevSecOps within the CI/CD pipeline to automate testing, reduce vulnerabilities, and maintain fast deployments.

Embed security from the start by integrating it into planning and design, automate security testing in CI/CD, and foster a collaborative culture to deliver secure, high-quality applications.

Embed security into your codebase with security as code, infrastructure as code, policy as code, and compliance as code to automate security tasks, enable version control, and ensure traceable deployments.

Explore software composition analysis (SCA) to track third-party dependencies and open-source components, scan code bases, and flag vulnerabilities against databases like the NVD for prioritized remediation.

Demonstrates Fortify on Demand's SCA, showing how SAST and DAST scans identify open source components, generate SBOMs, and surface CVEs with CVSS scores to guide fixes in DevSecOps.

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 governance and compliance across standards like ISO 27,001, GDPR, NIST, and the Cybersecurity Framework, and learn the compliance life cycle and GRC with Splunk.

Explore cybersecurity governance and compliance to align security measures with business goals, navigate North American and EU regulations, and implement an integrated GRC framework with risk management and automation.

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.

Navigate the compliance lifecycle by assessing regulatory needs, implementing controls and policies, monitoring effectiveness, and reviewing findings to sustain ISO 27,001, NIST CSF, GDPR, PCI DSS, and HIPAA compliance.

Explore soc compliance fundamentals, readiness assessments, and soc1, soc2, and soc3 reports, plus the audit process that verify data security, privacy, and the cia triad for service organizations.

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.

Discover how Splunk Enterprise 9.2.1 enables robust monitoring, log analysis, and alerts to support SOC compliance, with Splunk security essentials for data exfiltration and incident detection.

Explore popular GRC tools, with Metricstream spotlighted for scalable compliance, risk management, and policy modules, and learn how to implement SOC 2 controls, continuous monitoring, and real-time reporting.

Explore governance, risk, and compliance (GRC) concepts, SOC two controls, SIEM with Splunk, and GRC tools to meet EU and North American standards.