Internal risk has long posed a challenge for organizations. Its definition has evolved over time, but its reality remains unchanged. Historically, the term “internal” referred to someone physically present within the company: an employee at the office or a contractor on site.
That depiction has shifted. Users are now distributed across the office, home, and other telework spaces, data often resides in the cloud, and the traditional perimeter has become blurred. Today, anyone with access to this trusted environment is, by definition, an insider.
Thus, a question arises: if a device is compromised by malware with a command-and-control capability, is that an internal attack? If we rely solely on the question of data access, the attacker now holds the same privileges as a legitimate insider.
The Challenge of Detection
The real challenge lies in the fact that malicious actors have become incredibly adept at exploiting this evolving landscape. Once they manage to compromise an identity or a device—whether through phishing, by using malware, or by obtaining stolen credentials—they effectively inherit the privileges and permissions of a legitimate user.
From that moment, their actions, movements, and access patterns become virtually indistinguishable from those of trusted personnel within the organization. The closer these adversaries get to critical systems and sensitive data, the harder it becomes for traditional security controls to tell them apart from genuine employees or system operators.
When an attacker has breached an organization’s systems, they become practically invisible, mirroring the people who manage and secure those systems. That intruder effectively becomes a systems administrator.
This stealthy approach, also known as “Living Off The Land” (LOTL), is explained by the fact that attackers deliberately avoid drawing attention by using tools, credentials, and processes already present and approved in the environment, rather than introducing suspicious software or unusual behavior. They stay under the radar, blend seamlessly into legitimate user activities, and imitate daily operations in a way that goes unnoticed.
Their mode of operation is akin to entering a company wearing a suit, walking in with confidence, and adopting the manners and routines of the staff. No one questions your presence, because you give the impression of belonging to the organization and you act in line with established habits.
This ability to blend in presents a major challenge for detection, making behavioral analytics and continuous monitoring more crucial than ever.
An Effective Defense Is Unpredictable
To detect these attackers, organizations must focus on behavior rather than identity alone. It means observing and identifying deviations from normal behavior. Whether it is a malicious act or a compromised account, the behavioral patterns are often similar when the goal is to access high-value resources and sensitive data. By deploying traps and anomaly detection mechanisms, IT teams can intercept internal threats before they escalate into major incidents.
However, traps alone are not sufficient to guarantee total resilience. Zero Trust remains the linchpin of any defense strategy. This approach rests on the principle that trust cannot be static or implicit: it must be continuously evaluated. Strong authentication, secure enterprise endpoints, and continuous monitoring have made it harder for attackers to compromise systems. Yet security decision-makers must go further by embracing what is known as Negative Trust.
Negative Trust introduces controlled deception and unpredictability into systems to disrupt attackers. This approach works because predictability itself is a risk many organizations neglect. Enterprises often operate in too standardized a manner, which facilitates attackers’ movement and techniques. By making systems less predictable, introducing variability, and adding controlled noise to the environment, it becomes harder for attackers to maneuver and easier for defenders to detect their presence.
Indeed, when data is encrypted, entropy increases and data appears random. Adversaries hate entropy. Within an environment, predictability produces the same effect—more easily, attackers can move undetected. Negative Trust adds noise, raises entropy, and makes the environment unpredictable, forcing attackers into decoys.
Outlook
As adversaries increasingly leverage trusted sites to hide in plain sight, they connect rather than “hack” their way into organizations. Every attack now begins to resemble an insider threat, whether the user is truly an employee or not.
That is why every threat must be treated as an insider threat. To do so, it is essential to reduce attack vectors under the Zero Trust principles, then add noise through Negative Trust. This is the path forward.
Organizations must markedly strengthen their ability to detect malicious behavior, especially in an era when adversaries are willing to pay employees to disclose data or simply hand over authentication cookies from their browsers. As access becomes the new perimeter, the behavior of each user remains the sole reliable indicator of trust.
