Breakthrough Technologies To Combat Insider Threats

An insider is anyone that has administrational access to manipulate your sensitive data.

This includes employees, CEOs and contract workers, to name a few. Whether it’s malicious or negligent intent, compromised data is still compromised at any angle that you view it.

Luckily, advances in technology have a positive outlook on keeping sensitive data. Advancements like machine learning allow the user to categorize and actively watch sensitive data intently. When that data is breached, the admin is notified quickly and with evidence; insuring a deep forensic investigation into the breach.

Here are 5 emerging technologies that hold promise for future insider threat mitigation:

Data Loss Prevention (DLP)
DLP is a set of rules and processes to keep sensitive data safe. This technology takes action by classifying critical data, then setting violation procedures to mitigate a threat quickly. DLP is built upon basic principles like customizable alerts, monitoring, encryption and other useful prevention methods. 
DLP has a strong history in risk mitigation, but it is now becoming more regularly used in conjunction with insider threat prevention. As the technology becomes more robust, DLP can better target sensitive data composites and actively watch for a breach.

Machine Learning
Preventional DLP technologies are taken a step further with machine learning. Machine learning is a robust artificial intelligence software that detects patterns using algorithms. A user’s malicious actions can be spread across multiple data points and systems. This makes the process of quick detection difficult to see. 
Machine learning uses identifiable algorithms to look for anomalies across data systems. Coupled with user behavior analytics, deviations in insider threat behavior can be detected quickly.

User Behavior Analytics
This technology creates patterns of normal user and machine behavior; logged into the monitoring software. Data collected is used to create a baseline of normal behavior. Once this behavior deviates widely, the threat can be addressed.

User Activity Monitoring
Built upon DLP and user behavior analytics, the insider threat can be better mitigated with user activity monitoring. This type of software narrows in on user behavior and meta data allowing for true visibility into an employee’s actions. Many insider threat incidents are due to negligence; opening phishing emails.Monitoring can be used as a training technology to alert the employee when an action is unsuitable or train for better security threat mitigation in the future.

Privileged Access Management
The privileged user is the individual that has direct oversight to manipulate and influence a company’s data. Privileged Access Management (PAM) is the software that helps you prevent misuse of privileged access by these users. With admin controls, an insider threat can divulge and manipulate data at will. PAM monitors and authorises privilege users in all important systems across the company. This software is one of most foundational to insider threat mitigation.

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