Secure Coding in Security Management

Description

What does the Secure Coding in Security Management course cover?

Secure Coding in Security Management is covered here in 8 modules: Threat Modeling and Risk Assessment in Application Design, Secure Authentication and Session Management, Input Validation and Injection Defense and 5 more. The outline lists 48 specific topics, opening with conducting STRIDE-based threat modeling during the architecture phase to identify spoofing risks in authentication flows.

How do you approach Secure Coding in Security Management step by step?

The work is sequenced in 8 stages. It starts with Threat Modeling and Risk Assessment in Application Design, moves through Secure Authentication and Session Management and Input Validation and Injection Defense, and ends at Incident Response and Post-Breach Code Remediation. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Secure Coding in Security Management course?

Module 1 is Threat Modeling and Risk Assessment in Application Design. It works through conducting STRIDE-based threat modeling during the architecture phase to identify spoofing risks in authentication flows., selecting between data flow diagrams and attack trees based on system complexity and team familiarity., integrating threat modeling outputs into Jira tickets to ensure actionable developer follow-up. and 3 more.

How is the Secure Coding in Security Management course delivered?

The Secure Coding in Security Management 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 Secure Coding in Security Management course cost?

The Secure Coding in Security Management course is $251 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.

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

This curriculum spans the breadth of secure coding practices expected in a multi-workshop security upskilling program for development teams, addressing the same technical and coordination challenges encountered in real-world application security rollouts across design, development, deployment, and incident response phases.

Module 1: Threat Modeling and Risk Assessment in Application Design

Conducting STRIDE-based threat modeling during the architecture phase to identify spoofing risks in authentication flows.
Selecting between data flow diagrams and attack trees based on system complexity and team familiarity.
Integrating threat modeling outputs into Jira tickets to ensure actionable developer follow-up.
Deciding whether to use automated tools like Microsoft Threat Modeling Tool or manual facilitation for cloud-native microservices.
Managing stakeholder resistance when threat modeling reveals fundamental design flaws late in development.
Establishing thresholds for risk acceptance based on business impact, regulatory exposure, and exploit likelihood.

Module 2: Secure Authentication and Session Management

Choosing between OAuth 2.0 and OpenID Connect based on identity provider support and user experience requirements.
Implementing multi-factor authentication without degrading usability for high-frequency internal users.
Configuring session timeout policies that balance security and user productivity in enterprise applications.
Storing and rotating refresh tokens securely using encrypted storage and short-lived access tokens.
Preventing session fixation by regenerating session identifiers after login and privilege changes.
Enforcing password policies that comply with NIST 800-63B guidelines while avoiding counterproductive complexity rules.

Module 3: Input Validation and Injection Defense

Selecting context-specific output encoding strategies for HTML, JavaScript, and URL contexts in templating engines.
Implementing parameterized queries across multiple database drivers while maintaining performance benchmarks.
Configuring WAF rule sets to block SQL injection without introducing false positives on legitimate inputs.
Validating file uploads by content type, size, and header inspection to prevent malicious payload execution.
Sanitizing rich text input using allow-list-based HTML filtering with libraries like DOMPurify.
Handling international character sets in input validation without introducing encoding-related vulnerabilities.

Module 4: Secure Error Handling and Logging

Designing error responses that avoid information leakage while providing sufficient detail for debugging.
Masking sensitive data such as tokens and PII in application logs before ingestion into SIEM systems.
Configuring log levels in production to capture security-relevant events without overwhelming storage.
Implementing structured logging formats (e.g., JSON) to enable automated log parsing and correlation.
Managing log retention periods in compliance with GDPR and industry-specific regulatory requirements.
Securing log transmission channels using TLS and mutual authentication between applications and log collectors.

Module 5: Cryptographic Implementation and Key Management

Selecting AES-GCM over CBC mode for symmetric encryption to prevent padding oracle attacks.
Integrating with HSMs or cloud KMS for key generation, storage, and rotation in distributed systems.
Implementing envelope encryption for large data sets to reduce key exposure and improve performance.
Managing key rotation schedules that align with compliance mandates without disrupting active sessions.
Avoiding hardcoded cryptographic keys in source code using environment variables and secret management tools.
Validating certificate chains and enforcing certificate pinning in mobile applications with evolving CA trust models.

Module 6: Secure API Design and Protection

Enforcing rate limiting on REST APIs to prevent brute-force and denial-of-service attacks.
Validating and sanitizing query parameters in GraphQL endpoints to mitigate query depth and complexity attacks.
Implementing proper scope-based authorization in OAuth 2.0 to prevent privilege escalation.
Securing gRPC services with mTLS and ensuring metadata is not used to bypass access controls.
Documenting API security requirements in OpenAPI specifications with security schemes and scopes.
Monitoring for anomalous API usage patterns using behavioral analytics and anomaly detection rules.

Module 7: Secure Deployment and CI/CD Integration

Integrating SAST tools into CI pipelines with fail-on-critical rules without blocking non-critical findings.
Managing false positives in automated scanning by tuning rulesets and maintaining suppression policies.
Signing container images and verifying signatures in production deployment workflows.
Enforcing infrastructure-as-code security checks using policy engines like OPA or Checkov.
Isolating build environments to prevent credential leakage and supply chain compromise.
Implementing immutable deployment artifacts to prevent runtime modifications and ensure auditability.

Module 8: Incident Response and Post-Breach Code Remediation

Conducting code forensics to identify exploited vulnerabilities after a breach using version control history.
Prioritizing patch deployment based on exploitability, data exposure, and affected user base.
Updating secure coding standards based on root cause analysis of real incidents.
Coordinating disclosure timelines with legal, PR, and customer support teams during vulnerability remediation.
Rolling back vulnerable releases while maintaining data consistency and service availability.
Implementing runtime protection mechanisms like RASP as a temporary control during patch development.