An insider threat is an employee, business partner, or third party otherwise affiliated with an organization who abuses their privileges to cause damage to the organization. Insider threats can target the confidentiality of sensitive data (as in data exfiltration) or harm the integrity or availability of the organization’s information systems (as in sabotage).
Insider threat is a severe and growing threat in organizations of all sizes. There are clear warning signs of an insider threat, such as unusual login behavior, unauthorized access to applications, abnormal employee behavior, and privilege escalation. Your organization must implement an insider threat program to identify these insider threat indicators and respond before a malicious insider can carry out an attack.
Insider threats are often classified by their motives. The motives that drive insiders to do harm to a company can include:
The National Cybersecurity and Communications Integration Center (NCCIC) built a model with five characteristics that can explain an insider’s motivation to attack the organization they are part of.
An insider who possesses one or more of these characteristics is more likely to become an insider threat:
The following suspicious behaviors may indicate that a potential malicious insider threat is operating within your organization.
Standard user logins usually occur in patterns that repeat on a daily basis. Any login that deviates from the baseline pattern may indicate an insider threat is trying to hack into your systems. Here are several examples:
In general, you should investigate any user behavior that seems to deviate from the standard, and ensure there is an explanation for any unexpected behavior.
The majority of organizations utilize a large number of mission-critical systems, including customer relationship management (CRM) systems, enterprise resource planning (ERP) systems, financial management applications, and more.
To ensure security and visibility, most companies employ a least privileged access methodology. Often, this means understanding which users require access and defining strict roles to grant access only to necessary resources. Then, when unauthorized access and usage attempts occur, you can spot these incidents and prevent them before a breach occurs.
High levels of system access provide users with access to sensitive information that must remain contained within the organization. However, a trusted individual with administrative rights can grant privileges to other users. If you see an increase in the number of users with this type of escalated access, this may indicate that they are moving unencumbered across your servers, looking for data to sell on the dark web.
The majority of organizations can assess their cloud infrastructure or on-premises network and determine a data downloading pattern as well as their standard bandwidth usage. You can create a baseline for each department.
For example, you may find that your HR saves large payroll or employee data files on a regular basis, and that your sales team often downloads large marketing files. All of these constitute normal behavior. However, if you see a sudden peak in data downloads that cannot be explained by any of the baselines, this might indicate that an insider threat is operating within your network.
Unusual employee behavior can serve as a key insider threat indicator. Here is what to watch out for as a leading indicator for an insider threat event:
Know the 10 steps you must take to prevent the inside threat from wreaking havoc on your applications.
Insider threat detection often requires the combined efforts of both technological and human resources. Here is how your insider threat detection strategy may look like.
Employees usually gain a good understanding of each other’s behavior. They are positioned to gain awareness of and insight into stressors, behaviors, and predispositions of any insider possibly considering malicious acts. Here are key aspects that can help you while observing human behavior:
User and entity behavior analytics (UEBA) systems are designed to monitor the behavior of users. A user may be an employee, a vendor, a contractor, or any staff member with access to company IT assets. An IT asset may be a server, application, account, or proprietary data.
UEBA processes information to assess a specific activity or behavior that may result in a cyber attack. These systems do not just track devices and events. UEBA systems powered by machine learning can create a baseline of standard user behavior and then monitor insider threat indicators.
Pathlock provides a robust, cross-application solution to identifying and preventing insider threats. Security, IT, and application teams can rest assured that Pathlock is providing complete protection across their enterprise application landscape.
With Pathlock, customers can enjoy a complete solution to insider threat management, that can monitor user activity to prevent risk before it happens:
Interested to find out more about how Pathlock is changing the future of insider threat management? Request a demo to explore the leading solution for enforcing compliance and reducing risk.
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