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With the increase in cybercrime and threat actors targeting web applications and software vulnerabilities as a route to exploit business, it's crucial to build security into new systems developments processes right from the start. Most successful cyber-attacks still depend on exploiting a few well-known common vulnerabilities. The Open Worldwide Application Security Project (OWASP) has recently released a valuable resource shedding light on the top 10 vulnerabilities that frequently plague large language model (LLM) applications. These vulnerabilities, such as prompt injections, data leakage, inadequate sandboxing, and unauthorized code execution, have the potential to significantly impact LLM systems and operations. This course, updated with the latest OWASP Top 10, will show you how security can be designed into, managed and maintained within a development lifecycle. Learn about the challenges of Artificial Intelligence (AI) generated software, and how to build security into AI systems at the outset.

There are no specific pre-requisites for this course.

Note: This course does not cover hands-on coding. Additional courses can be found in our Application Security and Secure Coding learning pathways.

Understand the main Secure Development Lifecycle (SDLC) Models, and their principal differences
Be able to choose which SDLC model is most appropriate in a given situation.
Learn how to apply secure development techniques from the initial design stage and throughout a development lifecycle
Understand the latest (2021) OWASP vulnerabilities and how to counter/mitigate them
Learn about useful system design tools
Discover resources to help introduce and use secure design and development best practices
Learn Threat Modelling methodologies and techniques
Understand the benefits of code review
Understand various testing strategies
Learn about encryption, securing and compromising passwords and meta data
Understand the challenges of AI generated software
Discover the benefits and pitfalls of GitHub Co-pilot
Understand the OWASP Top 10 for Large Language Models (LLM)
Learn about the future AI security challenges for Secure by Design

Module 1 - Secure Development Lifecycle (SDLC)

An overview of the main SDLC models
Development models
- DevOps
- DevSecOps
Configuration and source code management
- Integrated teams
- Securing the software environment
- API security
Risk analysis tools

Module 2 - Secure By Design

Secure development processes
Threat modelling
- Identify Assets
- Create Architecture Overview
- Decomposing Applications
- Identify, Document and Rate the Threats
Practical Threat Modeling
- STRIDE
- Attack Trees
Risk mitigation in the Supply Chain
- Supply Chain Mapping
- Trust boundaries
Security best practice
- Least Privilege
- Reducing the Attack Surface
- Input Validations
- Defence in Depth
Security Patterns & Models
- System Design Tools
- Secure design architecture

Module 3 – Introduction to Application Security (OWASP 2021)

Vulnerabilities and mitigations available to any development environment
Attack vectors and security controls
OWASP Top Ten 2021
- Broken Access Controls
  - What’s the risk?
  - Case study
  - Insecure direct objects
  - Authorisation issues
  - Indirect references
  - Function level access
  - Security trimming
  - Risky URL patterns – when not to secure by URL
  - Protecting static resources
- Cryptographic Failures
  - What’s the risk?
  - Case study
  - Alternatives to holding data
  - Minimising the risk of encrypted data exposure data
  - Storing sensitive data
  - Machine in the middle attacks
  - Employing HSTS
- Injection
  - What’s the risk?
  - Case study
  - Allow lists
  - Parameterisation
  - Object relational mapping (ORM)
  - Cross site scripting (XSS)
  - Payload obfuscation
  - Other injection risks
- Insecure Design
  - What’s the risk?
  - Case study
  - Secure design
- Security Misconfiguration
  - What’s the risk?
  - Case study
  - Insecure cloud buckets
  - Error messages
  - Handling error codes
  - Config files and sensitive data
  - Google dorks to find config files
- Vulnerable and Outdated Components
  - What’s the risk?
  - Case study
  - Log4Shell
  - Components with known vulnerabilities
  - Identifying old frameworks and libraries
- Identification and Authentication Failures
  - What’s the risk?
  - Case study
  - Stateless protocol
  - Persisting session state in HTTP
  - Session sates – secure by default
  - Minimising timeouts
- Software and Data Integrity Failures
  - What’s the risk?
  - Case study
  - XML processing
  - Leveraging XXE to conduct intrusions and attacks
  - XXE prevention
  - Insecure deserialisation
  - Java object serialisation
  - Data integrity
  - Software integrity
  - Integrity controls
- Security Logging and Monitoring Failures
  - What’s the risk?
  - Case study
  - Logging best practice
  - Security logging and monitoring failures
  - What should and shouldn’t be logged?
- Server-Side Request Forgery (SSRF)
  - What’s the risk?
  - Case study
  - Payload injection
  - XPSA – port scanning on the server
  - Malicious attacks from the inside
  - Exploit chaining
OWASP Top 10 Proactive Controls
OWASP Application Security Verification Standard

Module 4 – Securing Modern Applications & AI

Code Review
Code Testing
- Interface testing
- Testing integration in CI/CD
Encryption
- Defending encryption
- Hashes and passwords
AI Security for Secure by Design
- Challenges of AI generated software
  - Debugging and troubleshooting
  - Adaptability and customisation
- GitHub Co-pilot
- OWASP Top 10 for Large Language Models (LLM)
  - LLM01 – Prompt injections
  - LLM02 – Insecure output handling
  - LLM03 – Training data poisoning
  - LLM04 – Denial of service
  - LLM05 – Supply chain
  - LLN06 – Permissions issues
  - LLM07 – Data leakage
  - LLM08 – Excessive agency
  - LLM09 – Overreliance
  - LLM10 – Insecure plugins
Future AI security challenges

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