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Security Measures in Application Development

Security Measures in Application Development

$247.00
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Security Measures in Application Development course cover?

Security Measures in Application Development is covered here in 8 modules: Threat Modeling and Risk Assessment, Secure Authentication and Authorization, Secure Coding Practices and Code Review and 5 more. The outline lists 48 specific topics, opening with conducting STRIDE-based threat modeling during design phase to identify spoofing, tampering, and elevation of privilege risks in microservices architecture.

How do you approach Security Measures in Application Development step by step?

The work is sequenced in 8 stages. It starts with Threat Modeling and Risk Assessment, moves through Secure Authentication and Authorization and Secure Coding Practices and Code Review, and ends at Compliance and Governance. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Security Measures in Application Development course?

Module 1 is Threat Modeling and Risk Assessment. It works through conducting STRIDE-based threat modeling during design phase to identify spoofing, tampering, and elevation of privilege risks in microservices architecture., selecting between qualitative risk scoring (e.g., DREAD) and quantitative methods (e.g., FAIR) based on organizational risk appetite and audit requirements., integrating threat modeling outputs into Jira tickets to ensure development teams address.

How is the Security Measures in Application Development course delivered?

The Security Measures in Application Development course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Security Measures in Application Development course cost?

The Security Measures in Application Development course is $250 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Application Development in Application Development, Web application development in Application Development, Security Measures in Application Management, AI Applications in Application Development.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the breadth of application security work seen in multi-workshop technical advisory programs, covering threat modeling, secure deployment, and compliance activities comparable to those conducted during internal capability builds in mid-to-large engineering organisations with mature security practices.

Module 1: Threat Modeling and Risk Assessment

  • Conducting STRIDE-based threat modeling during design phase to identify spoofing, tampering, and elevation of privilege risks in microservices architecture.
  • Selecting between qualitative risk scoring (e.g., DREAD) and quantitative methods (e.g., FAIR) based on organizational risk appetite and audit requirements.
  • Integrating threat modeling outputs into Jira tickets to ensure development teams address identified threats before coding begins.
  • Managing scope creep in threat models by defining clear system boundaries and data flows for cloud-native applications using Kubernetes.
  • Coordinating cross-functional workshops with architects, developers, and security teams to validate threat scenarios and assign ownership.
  • Updating threat models incrementally when third-party APIs or identity providers are introduced into the application ecosystem.

Module 2: Secure Authentication and Authorization

  • Choosing between OAuth 2.0 and OpenID Connect based on whether identity verification or delegated access is the primary requirement.
  • Implementing multi-factor authentication using time-based one-time passwords (TOTP) or WebAuthn, considering user device compatibility and support burden.
  • Configuring short-lived JWTs with secure refresh token rotation mechanisms to reduce exposure from token theft.
  • Enforcing role-based access control (RBAC) policies at both API gateway and service levels to prevent privilege escalation.
  • Handling session persistence and revocation in distributed systems using Redis with TTL and secure eviction policies.
  • Managing consent screens and scope disclosures in compliance with GDPR and CCPA when integrating third-party identity providers.

Module 3: Secure Coding Practices and Code Review

  • Enforcing input validation using allow-listing for API endpoints that accept user-generated content to prevent injection attacks.
  • Integrating static application security testing (SAST) tools like SonarQube or Checkmarx into CI pipelines with fail-on-critical thresholds.
  • Conducting peer-led secure code reviews using checklists tailored to common vulnerabilities such as XXE, SSRF, and insecure deserialization.
  • Disabling dangerous language features (e.g., Java deserialization, Python eval()) in production runtime configurations.
  • Managing false positives in SAST results by tuning rule sets and maintaining a documented suppression process with security team approval.
  • Documenting and tracking secure coding standards in a version-controlled repository accessible to all development teams.

Module 4: Data Protection and Encryption

  • Classifying data sensitivity levels (public, internal, confidential) to determine appropriate encryption and access controls.
  • Implementing field-level encryption for personally identifiable information (PII) in databases using application-layer keys.
  • Selecting between envelope encryption with AWS KMS or Azure Key Vault versus on-prem HSMs based on regulatory and latency requirements.
  • Managing key rotation schedules and ensuring backward compatibility during decryption of legacy encrypted records.
  • Securing data in transit using TLS 1.3 with strict cipher suite policies and certificate pinning for mobile clients.
  • Designing secure backup strategies that include encrypted snapshots and access logging for restoration operations.

Module 5: API and Web Service Security

  • Validating and sanitizing all API inputs using schema definitions (e.g., OpenAPI) and automated middleware.
  • Rate-limiting API endpoints to mitigate brute-force and denial-of-service attacks, with dynamic thresholds based on client identity.
  • Implementing mutual TLS (mTLS) for service-to-service communication in zero-trust environments.
  • Exposing only necessary endpoints in public APIs and deprecating unused versions with clear communication timelines.
  • Logging and monitoring API request patterns for anomalies using tools like AWS CloudTrail or Splunk.
  • Securing GraphQL endpoints against query depth and complexity attacks using query cost analysis and limits.

Module 6: Infrastructure and Deployment Security

  • Hardening container images by removing unnecessary packages, running as non-root, and scanning for CVEs using Trivy or Clair.
  • Enforcing infrastructure-as-code (IaC) security by scanning Terraform or CloudFormation templates with Checkov or tfsec.
  • Implementing immutable infrastructure patterns to prevent runtime configuration drift and unauthorized changes.
  • Configuring network segmentation using VPCs, security groups, and service mesh policies to limit lateral movement.
  • Managing secrets using dedicated vault solutions (e.g., HashiCorp Vault) instead of environment variables or config files.
  • Establishing deployment gates in CI/CD pipelines that require security scan approval before promoting to production.

Module 7: Incident Response and Monitoring

  • Defining detection rules in SIEM systems (e.g., Splunk, Sentinel) to identify anomalous login patterns or data exfiltration attempts.
  • Instrumenting applications with structured logging that includes context for security events without exposing sensitive data.
  • Conducting tabletop exercises to validate incident response playbooks for scenarios like data breaches or ransomware.
  • Establishing secure, isolated communication channels for incident response teams during active security events.
  • Preserving forensic artifacts such as memory dumps, logs, and container images in write-once storage for legal admissibility.
  • Coordinating post-incident reviews to update controls and prevent recurrence, with documented action items and owners.

Module 8: Compliance and Governance

  • Mapping security controls to regulatory frameworks such as HIPAA, PCI-DSS, or SOC 2 based on business operations and customer contracts.
  • Conducting internal audits using standardized checklists and evidence collection procedures to prepare for third-party assessments.
  • Managing data residency requirements by configuring geo-fenced deployments and routing logic in cloud environments.
  • Documenting data processing activities and maintaining records of consent for GDPR Article 30 compliance.
  • Establishing a vulnerability disclosure program with defined intake, triage, and response procedures for external researchers.
  • Reviewing third-party vendor security posture through questionnaires, audits, or shared compliance reports (e.g., SOC 2 Type II).
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