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CISSP 20.1 - Introducing Systems Development Controls (Part 1 of 5)
This episode of the ISC2 Certified Information Systems Security Professional (CISSP) exam prep series opens Domain 8 by looking at where security fits into custom software. It follows a program from language choice through to running code, showing how early design decisions quietly set the security posture and why building protection in from the start beats bolting it on later.
What this episode covers
- Why custom software is risky — code is only as safe as its authors, so controls must run through the whole life cycle.
- Building security in from the start — protection scaled to data sensitivity, decided while the design is still fluid.
- Programming language types — raw machine code, assembly mnemonics, and human-readable high-level languages.
- Compiled vs interpreted security — tamper resistance that can hide backdoors against source you can read but also alter.
- Libraries and the ML supply chain — one library flaw spreading silently, and poisoned models or datasets.
- Tools and object-oriented design — the integrated development environment, encapsulation, inheritance, and the core OOP terms.
- Assurance — ongoing confidence that controls still enforce policy, measured against the Common Criteria.
Watch the full episode above for the worked examples and detailed explanations of each concept.
Frequently Asked Questions
Why do custom-built applications carry so much risk?
Organizations write their own software to serve goals no vendor product covers, and that code is only as safe as the people who write it. A rushed or malicious developer can plant a hidden backdoor, leave a buffer overflow, or forget a check that lets an outsider in. The fix is to weave security controls through the entire development life cycle rather than bolting them on later, much as wiring is cheaper to route while the walls are still open.
What kinds of programming languages do developers use?
At the bottom sits machine language, the raw ones and zeros a specific processor understands. One step up is assembly language, which swaps those numbers for short mnemonics but still demands deep hardware knowledge. Above that live high-level languages like Python, Java, and C sharp, which read closer to human instructions, speed up development, and travel more easily across platforms.
How does interpreted code differ from compiled code for security?
A compiled language translates human-readable source into an executable file that resists outside tampering, but a dishonest developer can bury a backdoor no end user will ever see. With an interpreted language such as Python or JavaScript, you ship the source code itself and an interpreter runs it line by line, so anyone can read it. That exposes hidden logic to inspection, yet everyone who touches the file can also alter it.
Why are shared libraries both a gift and a hazard?
Developers reuse prewritten libraries so they never rebuild common functions like sorting or text handling, which saves enormous effort. The catch is that a flaw in a popular library spreads to everything that includes it, often silently, as when a famous flaw in a widely used encryption library forced administrators worldwide to scramble. The same discipline now extends to machine learning, where an untrusted model or dataset can smuggle in hidden backdoors or poisoned behavior.
What does assurance actually give you?
Assurance is the formalized process of building trust into a system’s whole life cycle, confirming that the security mechanisms you designed keep enforcing the policy over time. It is not a single test but an ongoing confidence that the controls do what they claim. In government settings, a standardized approach called the Common Criteria provides a shared yardstick for measuring that trust, acting like an inspection regime rather than a one-time stamp.
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Reference: This article is based on concepts discussed in CISSP 20.1 - Introducing Systems Development Controls (Part 1 of 5).