Early in my cybersecurity career, I believed that the strongest security programs were the strictest ones. More rules meant more protection. More controls meant fewer mistakes. On paper, it made sense. In practice, it failed more often than I expected.
What I learned over time is simple but important. People are not perfect users. They are busy, distracted, and human. If a security program assumes flawless behavior, it will eventually break. Real security works when it is designed for how people actually behave, not how we wish they would behave.
The Problem with “Perfect User” Security
Perfect user security assumes that employees will always:
- Read and remember policies
- Never reuse passwords
- Spot every phishing email
- Follow every step exactly as written
- Never make mistakes under pressure
That version of reality does not exist. Even highly trained professionals make mistakes, especially when they are rushed or tired. When security programs ignore this, people find workarounds.
I have seen employees write passwords on sticky notes because the rules were too complex. I have seen teams share credentials because access requests took too long. I have seen people ignore warnings because there were too many of them.
None of this happened because people did not care. It happened because the system did not fit real life.
Why People Work Around Security
When someone works around a security control, it is easy to label it as risky behavior. But I always ask a different question first: What problem were they trying to solve?
Most workarounds come from friction.
- The secure way takes too long
- The instructions are unclear
- The tool breaks workflow
- The policy does not match how the job is actually done
When security gets in the way of productivity, people choose productivity. That is not rebellion. That is survival. If we want secure behavior, we have to make it realistic.
Empathy is a Security Skill
Designing for real humans starts with empathy. That means taking time to understand how people work, what pressures they face, and where they feel stuck.
Before rolling out a new control, I ask questions like:
- What does a normal day look like for this team?
- When are they most rushed?
- What tools do they use constantly?
- What happens if this step slows them down?
Empathy does not weaken security. It strengthens it. When people feel understood, they are more likely to follow guidance instead of fighting it.
Make the Secure Choice the Easy Choice
One of the most effective principles in security design is simple. The secure choice should also be the easiest choice.
If secure file sharing is faster than email attachments, people will use it.
If single sign-on reduces logins, people will not reuse passwords.
If reporting phishing takes one click, people will report more often.
Good security design removes unnecessary steps. It does not pile them on. The fewer decisions people have to make, the fewer mistakes they make.
Design for Mistakes, Not Against Them
Mistakes will happen. That is not pessimism. That is realism.
Strong security programs assume that someone will click the wrong link someday. They assume a password will be exposed. They assume a laptop might be lost. Then they design around that reality.
This means:
- Using multi-factor authentication so one mistake does not equal full access
- Limiting permissions so one account cannot reach everything
- Segmenting systems so one incident does not spread everywhere
- Monitoring behavior so unusual activity is caught early
When security is layered this way, human mistakes become manageable events instead of disasters.
Keep Rules Simple and Clear
Complex rules create confusion, and confusion leads to errors.
I always push for fewer rules that are easy to remember. For example:
Instead of a long data handling policy, give three clear rules.
Instead of vague guidance, give specific examples.
Instead of technical language, use everyday words.
People do not ignore rules because they are lazy. They ignore rules because they cannot remember them in the moment. Simplicity is a form of protection.
Training That Respects Attention
Traditional security training often assumes people have unlimited focus. Long videos, dense slides, and once-a-year sessions do not match how adults learn.
Training works better when it is short, relevant, and repeated. I prefer:
- Five-minute lessons tied to real scenarios
- Examples pulled from the company’s own environment
- Quick refreshers instead of long lectures
Training should feel helpful, not like a test. When people understand why something matters, they are more likely to care.
Feedback is Part of Design
Security programs should not be static. If people struggle with a control, that is feedback.
I always encourage teams to ask employees:
- What feels frustrating?
- What slows you down the most?
- What do you avoid if you can?
Those answers reveal risk. If people avoid a tool, they will replace it with something less secure. Fixing friction early prevents quiet workarounds later.
Listening is one of the most underused security controls we have.
Culture Grows from Design
When security fits naturally into work, culture improves. People stop seeing security as an obstacle and start seeing it as support.
They ask questions sooner.
They report issues faster.
They trust the security team more.
That trust matters. It turns security into a partnership instead of a policing function.
Let Go of the Myth of Control
One of the hardest lessons for security professionals is accepting that we cannot control everything. We can guide behavior. We can shape systems. But we cannot eliminate risk completely.
Designing for real humans means accepting uncertainty and planning for resilience instead of perfection.
When we let go of the fantasy of perfect users, we build programs that actually work.
Strict Does Not Mean Best
The best security programs are not the strictest ones. They are the ones people follow when they are busy, stressed, and distracted.
Designing for real humans means using empathy, simplifying choices, planning for mistakes, and listening carefully. It means respecting how people work instead of fighting it.
Security does not fail because people are imperfect. It fails when systems expect them not to be.
When we design security for humans as they are, not as we wish they were, we build protection that lasts.