Human Error in Cybersecurity and How Automation Is Changing Security Threats

Why technology alone is not enough

In cybersecurity, companies naturally focus on technology. Firewalls, antivirus software, security monitoring, EDR, SIEM, automated detections and access policies create the impression that security is primarily a technical problem.

In practice, however, many incidents do not begin with a technical vulnerability. They begin in an ordinary work situation: a user opens a legitimate-looking e-mail, approves a request under time pressure, uses an established process or trusts a message that fits the context of their work.

From a technical point of view, the system may function correctly. The problem arises only in how the technology is used in a real environment: under pressure, in routine, in an automated process and often without sufficient context. Cybersecurity for companies today is not based only on tools, but on the ability to connect technologies, processes and user behavior into one functional security model.

Human error is not user failure, but part of working reality

The term human error is often used in cybersecurity, but it can be misleading. It suggests that the problem is an individual who has failed. In reality, it is more a consequence of the working conditions in which people make decisions every day.

Users work with many e-mails, applications, notifications, approval steps and internal processes. They have to react quickly, efficiently and often without having the space to analyze every detail. This is exactly where room for risk arises.

Some of these patterns are also among the most common mistakes in IT security, because they arise in ordinary operations, not in extreme situations:

• clicking a link under time pressure,
• trusting a known authority or business partner,
• approving a request without deeper checking,
• using routine shortcuts in recurring tasks,
• bypassing overly complicated security rules.

People are not a problem that needs to be "fixed". They are part of the environment in which security must work. If a security model assumes ideal user behavior, it is designed for conditions that do not exist in practice. Today's security therefore is not based on the idea that mistakes must not happen. It is based on the assumption that mistakes will happen and the system must minimize their impact.

How social engineering uses routine and time pressure

Current security threats are increasingly less obvious. An attack no longer has to look like an attack. It often looks like ordinary work communication, a routine request, an internal alert or a message from a familiar partner.

Social engineering works precisely because it does not attack only technology. It attacks the work context. The attacker tries to fit into the processes that already exist in the company.

The most common forms include:

• phishing, meaning mass messages designed to trigger a reaction,
• spear phishing, targeted messages prepared for a specific person or company,
• abuse of authority, for example a fake message from a manager, IT department or supplier,
• business e-mail compromise, where the attack imitates legitimate business communication.

The difference compared with the past lies in quality. Messages are linguistically convincing, contextually accurate and often build on real events. Attackers use publicly available information, organizational changes, business relationships, work roles and information from social networks.

Technical tools can capture a large part of known patterns. In attacks based on user manipulation, however, protection against phishing and e-mail attacks is also important, as it can work with the sender's identity, the content of the message and risk signals in communication. In that case, the decisive factor is the combination of technical detection, security awareness and processes that enable verification without unnecessary friction.

Automation increases both the speed and impact of security incidents

Automation is the foundation of today's companies. It accelerates approvals, synchronizes data, connects systems, reduces manual work and supports process scaling. From an operational point of view, it is essential. From a security point of view, however, it changes the nature of risk.

In a manual process, an error often has limited reach. Someone may notice it, stop it or correct it before it spreads. In an automated process, an error can repeat quickly, consistently and without visible human intervention.

If an error or abuse enters an automated flow:

• it spreads faster,
• it affects more systems,
• it may remain undetected longer,
• it uses legitimate rules and access rights,
• it increases the impact of the incident

similar to scenarios where it is crucial to prevent ransomware before the incident spreads across the infrastructure

Automation itself is not the problem. The problem is automation without control points, without deviation monitoring and without a clear possibility of intervention.

Secure automation does not mean slowing down the company. It means that the speed of processes does not lead to a loss of control.

New security threats arise between people, processes and technologies

The traditional security model often worked with the idea that an attack comes from outside and the goal is to break through a technical barrier. Current security threats are more complex. Attackers increasingly try to exploit legitimate identities, permissions, integration flows and process gaps. This is why it is important to address not only user behavior, but also how to prevent corporate infrastructure from being hacked through weak access, insufficient segmentation or missing monitoring.

Instead of "breaking" the system, they try to behave like a legitimate part of it. This changes the way detection and defense work. If a user or process performs a technically permitted action, classic controls may not evaluate the behavior as risky. The real problem only becomes visible in context: an unusual time, a non-standard location, an atypical combination of actions, a deviation in data volume or an unusual procedure in an automated process.

The new model of security threats is therefore based on three interconnected areas:

• people who work under pressure and in routine,
• processes that determine how decisions are carried out,
• technologies that accelerate and scale these decisions.

If one of these areas is not included in the security design, a blind spot arises.

Why training alone and technology alone are not enough

When addressing human error, companies often lean toward one of two extremes. Either they rely on training and expect informed users to prevent incidents, or they invest in technologies and believe that automated systems will solve the human factor.

Neither approach is sufficient on its own. One-off training increases awareness, but it does not change working conditions. A user may know what phishing looks like, but under stress, with a high volume of work or when facing a trustworthy-looking message, they may react differently.

Technology, in turn, can block known threats and monitor behavior, but without understanding the company context it can create a false sense of security. If security measures make work too complicated, users will find shortcuts. And these shortcuts often become a new risk.

Effective security is created in a combination of:

• training based on real work situations,
• technical controls that account for human error,
• processes that enable safe decision-making even under pressure,
• automation that has oversight, limits and control points.

The goal is not perfection. The goal is resilience.

How to reduce the risk of human error in a company

Human error cannot be completely eliminated. However, its probability and especially its impact can be significantly reduced.

Practical measures include:

• multi-level verification for sensitive actions,
• control points in automated processes,
• detection of non-standard behavior by users and systems,
• segmentation of access and the principle of least privilege,
• regular testing of security processes,
• training based on real scenarios, not general lessons,
• simple procedures for reporting suspicious situations,
• a culture in which an error is reported before it is hidden.

The key is to set up security so that it is usable. If the security process is too complex, users will bypass it. If it is too loose, the company loses control. The right approach seeks a balance: it enables people to work effectively while also capturing the moments in which an ordinary error can become an incident.

Technical controls that account for human error

Security measures designed for the real world are not based on the assumption that a user will never click the wrong link or never approve a suspicious request. They are based on the question: what happens when it happens? For endpoints, Endpoint Detection and Response helps monitor non-standard behavior, identify risky activities and respond to incidents before they spread to other parts of the infrastructure.

The following are particularly important:

Context-based access management
Access is assessed not only by identity, but also by device, location, time, type of operation and the riskiness of behavior.

Deviation detection
The system monitors what is normal for the user, application or process. Non-standard activity becomes a signal that can trigger a check or response.

Segmentation and permission limitation
One error should not automatically allow access to the entire infrastructure or all data.

Automated response to risk
If suspicious activity appears, the system should be able to quickly restrict access, request additional verification or alert the security team.

Auditability and traceability
In an incident, it is essential to know what happened, when, through which account, in which system and with what impact. This is where a SIEM solution for centralized security monitoring helps, collecting and correlating events from different parts of the infrastructure. These controls do not eliminate human error. They do something more important: they reduce the probability that one mistake will grow into a large-scale incident.

The most common mistakes when addressing the human factor

Even companies that are aware of the importance of the human factor often repeat the same mistakes. The result is security that formally exists, but in practice does not function as it should.

Blaming users

If, after an incident, the company looks for someone to blame instead of the cause, it loses important feedback. Users then hide mistakes, do not report suspicious situations and perceive security as a threat, not as support.

Excessive restrictions

Blanket bans, complicated approvals and impractical rules can paradoxically increase risk. If security slows work down too much, people will create unofficial procedures.

Automation without control

Automated processes without monitoring, notifications and the possibility of intervention can spread an error faster than manual processes. The more automated a process is, the more important control points are.

Security only on paper

Policies and guidelines are important, but they are not enough. If they do not reflect actual user behavior, current security threats and the way the company works, their practical impact is minimal.

Real security is not manifested in documents, but in everyday decisions, processes and responses to risk.

Security designed for people, not against them

The development of cyber threats shows a clear trend: technology alone is not enough and the human factor cannot be ignored or removed. Security must be designed to account for how people actually work.

The most effective security solutions are often those that do not burden users unnecessarily. They support decision-making, warn about risk, verify sensitive actions and intervene when behavior deviates from the norm.

This approach brings three important results:

• it reduces user frustration,
• it increases willingness to follow rules,
• it enables the company to work quickly and securely at the same time.

Security designed for people does not mean a softer approach. It means a more realistic approach. It takes into account that users make mistakes, processes change, automation accelerates the impact of incidents and attackers use legitimate work patterns.

Human error cannot be eliminated, but its impact can be managed

Human error in cybersecurity is not a problem that can be solved with one training session or one tool. It is a natural part of working reality that companies must include in their security model. Likewise, automation is not a risk in itself. It becomes a risk when it accelerates processes without control, context and the possibility of timely intervention.

Companies that want to manage current security threats need to connect three areas: people, processes and technologies. They need security awareness that is based on the reality of work. They need technical controls that account for error. And they need automation that increases efficiency without reducing control.