Organizations invest heavily in cybersecurity technologies, security awareness programs, and compliance initiatives. Yet many security incidents still originate from human actions such as clicking phishing links, sharing credentials, mishandling sensitive data, or falling victim to social engineering attacks.
To reduce these risks, security teams often seek to identify high-risk users. However, this creates an important challenge: how can organizations identify elevated human risk without creating a culture of surveillance or invading employee privacy?
The answer lies in focusing on behaviors and risk indicators rather than monitoring individuals unnecessarily.
A modern Human Risk Management approach helps organizations understand where risk exists while maintaining employee trust and respecting privacy.
What Is a High-Risk User?
A high-risk user is not necessarily a careless employee or a malicious insider.
A high-risk user is simply an individual whose behaviors, responsibilities, access levels, or exposure to threats create a higher likelihood of contributing to a security incident.
Examples may include:
- Employees who repeatedly fail phishing simulations.
- Users with privileged access to critical systems.
- Employees handling sensitive customer or financial data.
- Individuals frequently targeted by attackers.
- Users who repeatedly violate security policies.
The goal is not to label employees. The goal is to understand risk so appropriate support and controls can be applied.
Why Privacy Concerns Matter
Employees increasingly value transparency regarding how organizations collect, analyze, and use workplace data.
If security programs are perceived as surveillance initiatives, organizations may experience:
- Reduced employee trust.
- Lower participation in awareness programs.
- Fear of reporting mistakes.
- Resistance to security initiatives.
- Negative workplace culture.
Effective security programs should protect both organizational assets and employee trust.
Focus on Risk Indicators, Not Personal Monitoring
The most effective organizations focus on measurable security behaviors rather than personal activities.
Examples of useful risk indicators include:
- Repeated phishing simulation failures.
- Low phishing reporting rates.
- Frequent policy violations.
- Excessive access privileges.
- Repeated security incidents.
- Use of unauthorized applications.
These indicators help identify areas of concern without requiring invasive monitoring of employee communications or personal activities.
Use Role-Based Risk Assessment
Not all employees face the same level of cyber risk.
Finance Teams
Frequently targeted by:
- Invoice fraud.
- Business Email Compromise (BEC).
- Payment diversion scams.
Executives
Frequently targeted by:
- Executive impersonation.
- Voice cloning attacks.
- Credential theft.
Human Resources
Frequently targeted by:
- Recruitment scams.
- Employee data requests.
- Resume malware.
Evaluating risk based on job responsibilities often provides more meaningful insights than focusing on individual employees.
Measure Security Behaviors Over Time
Human risk should be measured through trends rather than isolated incidents.
A single phishing simulation failure may not indicate elevated risk. However, repeated failures across multiple campaigns may suggest additional support is needed.
Useful behavioral metrics include:
- Phishing click rates.
- Credential submission rates.
- Reporting rates.
- Repeat failure trends.
- Security awareness engagement.
This approach focuses on patterns rather than individual mistakes.
Apply the Principle of Least Privilege
Risk is influenced not only by behavior but also by access.
Organizations should regularly review:
- User permissions.
- Administrative privileges.
- Access to sensitive systems.
- Third-party access rights.
Reducing unnecessary access limits potential damage from both accidental and malicious actions.
Provide Targeted Support Rather Than Punishment
One of the biggest mistakes organizations make is treating high-risk users as a disciplinary problem.
A better approach is to provide:
- Additional awareness training.
- Targeted coaching.
- Role-specific guidance.
- Increased support for high-risk functions.
The objective is risk reduction, not employee criticism.
Be Transparent About Data Collection
Employees should understand:
- What security data is being collected.
- Why it is being collected.
- How it will be used.
- Who has access to it.
Transparency strengthens trust and reduces concerns about privacy.
Organizations that communicate openly about their Human Risk Management programs typically achieve better employee engagement.
What Organizations Should Avoid
To maintain trust, organizations should avoid:
- Monitoring personal communications unnecessarily.
- Tracking unrelated employee activities.
- Publicly identifying high-risk individuals.
- Using phishing simulations to embarrass employees.
- Collecting data without clear business justification.
Security programs should always be proportionate to the risks they are designed to address.
A Practical Framework for Identifying High-Risk Users
- Define objective risk indicators.
- Assess role-based exposure levels.
- Monitor behavioral trends over time.
- Review access privileges regularly.
- Deliver targeted interventions where needed.
- Measure improvements.
- Continuously balance security objectives with employee privacy.
This framework helps organizations reduce risk while maintaining a positive security culture.
Key Takeaways
- High-risk users should be identified through behaviors and exposure, not personal surveillance.
- Human Risk Management focuses on reducing risk while maintaining employee trust.
- Behavioral trends provide more value than isolated incidents.
- Role-based risk assessments help prioritize awareness efforts.
- Transparency is essential for balancing security and privacy.
- The goal is support and improvement, not punishment.
Conclusion
Identifying high-risk users is an important part of modern cybersecurity programs, but it must be done carefully.
Organizations that rely on excessive monitoring risk damaging employee trust and creating resistance to security initiatives. In contrast, organizations that focus on behaviors, risk indicators, role-based exposure, and transparency can effectively reduce human risk while maintaining a healthy workplace culture.
The most successful security programs recognize that employees are not the problem. They are part of the solution.
By combining Human Risk Management principles with privacy-conscious practices, organizations can better understand risk, strengthen security culture, and improve resilience against modern cyber threats.
Frequently Asked Questions
What is a high-risk user in cybersecurity?
A high-risk user is an individual whose behavior, access level, or job responsibilities create a higher likelihood of contributing to a security incident. This does not necessarily mean the person is acting maliciously.
Is identifying high-risk users a violation of employee privacy?
Not necessarily. When organizations focus on security-related behaviors, role-based risks, and objective risk indicators rather than personal activities, privacy can be respected while still improving security.
What metrics can help identify high-risk users?
Common indicators include phishing simulation failures, credential submission rates, reporting rates, policy violations, excessive access privileges, and recurring security incidents.
Should employees be informed about Human Risk Management programs?
Yes. Transparency helps build trust and ensures employees understand how security-related data is collected, used, and protected.
How can organizations reduce high-risk behaviors?
Organizations can reduce risk through targeted awareness training, phishing simulations, role-based education, least privilege access controls, and continuous measurement of behavioral improvements.
Author: Chetna Pangare