Classic cyber threat defense tools and systems are rapidly becoming obsolete, and there are ways to overcome them. What remains confidently common among cyber criminals attempting an attack is the intent of the attack itself. Indeed, knowing that there are systems capable of detecting indicators of compromise (IOC), it is natural that competent hackers will try not to leave traces traceable to standards. User and Entity Behavior Analysis (UEBA) offers a more comprehensive way to make sure your business has world-class IT security. At the same time, it helps detect users and entities that could compromise the entire system.
A definition of User Entity Behavior Analytics
User and Entity Behavior Analysis or UEBA, is a type of cybersecurity process that takes note of standard user behavior. In turn, the system detects any abnormal behavior or cases where there are deviations from the “normal” patterns mentioned above. For example, if a particular user regularly downloads 10MB of files every day, and suddenly downloads 1GB, the system would be able to detect this anomaly and immediately alert operators. The behavior may be legitimate, but it’s worth checking out.
The UEBA system uses machine learning, algorithms and statistical analysis to know when there is a deviation from established patterns. Next, it shows which of these anomalies could result in a potential and real threat. Additionally, UEBA can aggregate report and log data, as well as analyze file, stream and packet information.
With a UEBA all users and entities of the system are tracked. In this way the system focuses on insider threats, such as dishonest employees, compromised ones and people who have access to the system and then carry out targeted attacks and fraud attempts, as well as the servers, applications and devices that work inside. of the system.
It is the unfortunate truth that today’s cybersecurity tools are rapidly becoming obsolete. Now the most skilled hackers and cyber criminals are able to bypass the perimeter defenses used by most companies. A few years ago you were sure if you had web gateways, firewalls, and intrusion prevention tools. This is no longer the case in the complex threat landscape, and is especially true for large companies that have proven to have very porous IT perimeters that are also very difficult to manage and supervise.
The key point? Preventive measures are no longer sufficient. Firewalls will not be 100% infallible and attackers will enter the system at one point or another. That’s why detection is just as important: when hackers successfully enter your system, then you need to be able to quickly detect their presence to minimize damage.
How does it work?
The premise of the system is actually very simple. You can easily steal an employee’s username and password, but it is much more difficult to mimic the person’s normal behavior once inside the network.
For example, let’s say you manage to steal John Smith’s password and username. However, it is almost impossible to act exactly like Mario Rossi once inside the system, unless extensive research and preparation is also done in this direction. Therefore, when Mario’s username is logged into the system and his behavior is different than typical, that’s when the UEBA alarms start ringing.
Another related analogy would be the theft of a credit card. A thief can steal your wallet and go to a luxury store and start spending thousands of dollars. But, if the spending pattern on that card is different from that of the thief, the fraud detection department will recognize the anomalous expenses and block suspicious purchases, either by sending you an alert or asking you to verify the authenticity of a transaction. .
What can UEBA do?
UEBA is a very important component of modern IT security and allows you to:
1. Detect insider threats: It is not too far fetched to imagine that an employee, or perhaps a group of employees, could disobey, steal data and information using their login. UEBA can help you detect data breaches, sabotage, abuse of privileges and policy violations by staff.
2. Detect Compromised Accounts: Sometimes, user accounts are compromised. It could be that the user has unintentionally installed malware on his machine, or that sometimes a legitimate account has been forged. UEBA can help eliminate compromised users before they can do any damage.
3. Detect Brute Force Attacks: Hackers sometimes target cloud-based entities as well as third-party authentication systems. With UEBA, you are able to detect brute force attack attempts, allowing you to block access to these entities.
4. Detect permission changes and super user creation: Some attacks involve the use of super users. UEBA allows you to detect when super users are created, or if there are accounts that have been granted unnecessary permissions.
5. Detect Secure Data Breach: If you have secured data, it’s not enough to keep it safe. Know when a user accesses this data if they have no legitimate business reason for doing so.
UEBA and SIEM
Security Information and Event Management, or SIEM, is the use of a complex set of tools and technologies that provides a complete view of the security of your IT system. It leverages event data and information, allowing you to see normal patterns and trends, and to warn of anomalies. UEBA works the same way, only it uses information on user (and entity) behavior to verify what is normal and what is not.
SIEM, however, is based on rules, and competent hackers can easily circumvent or evade these rules. Furthermore, the SIEM rules are designed to immediately detect threats that occur in real time, while the most advanced attacks are usually carried out over months or years. The UEBA, on the other hand, is not based on rules. Instead, it uses risk scoring techniques and advanced algorithms that allow it to detect anomalies over time.
One of the best practices for cybersecurity is to use both SIEM and UEBA to have better security and detection capabilities.
How a UEBA should be used
UEBA was born out of the need to identify the harmful behavior of users and other entities. UEBA tools and processes are not intended to replace legacy monitoring systems, but should instead be used to complement them and improve a company’s overall security. Another great practice is to take advantage of the storage and calculation capabilities of big data, using machine learning and statistical analysis to avoid receiving an avalanche of unnecessary alarms and being overwhelmed by the large volume of data. generated.
UEBA uses machine learning and algorithms to strengthen security by monitoring users and other entities, detecting anomalies in behavior patterns that could be indicative of a threat. By taking a proactive approach to security and gaining greater visibility into user and entity behavior, today’s businesses are able to build stronger security systems and more effectively mitigate threats and prevent breaches.
SOAR (Security Orchestration, Automation and Response) technology helps coordinate, execute and automate activities between people and tools, enabling companies to respond quickly to cyber security attacks. The aim is to improve their overall security position. SOAR tools use playbooks (strategies and procedures) to automate and coordinate workflows which may include security tools and manual tasks.
How does SOAR help in the security field?
1. Combining security orchestration, intelligent automation, incident management and interactive investigations in a single solution.
2. Facilitating team collaboration and enabling security analysts to take automated actions on tools across their security stack.
3. Providing teams with a single centralized console to manage and coordinate all aspects of their company’s security.
4. Optimizing case management, increasing efficiency by opening and closing tickets to investigate and resolve incidents.
Why do companies need a SOAR?
Modern companies regularly face many challenges and obstacles when it comes to fighting cyber threats.
A first challenge is represented by an ever increasing volume of complex security threats. Furthermore, the security tools involved very often struggle to talk to each other, which is in itself a nuisance.
Such a large amount of data and software can only mean a large number of security alerts. In fact, there is too much threat intelligence data to allow teams to manually classify, prioritize, investigate and target threats. Furthermore, the work of security officers involves very specific skills and with increasing demand it is increasingly difficult to find a sufficient number of security officers to carry out the work.
SOAR helps companies address and overcome these challenges by enabling them to:
– Unify existing security systems and centralize data collection to achieve full visibility.
– Automate repetitive manual activities and manage all aspects of the accident life cycle.
– Define incident analysis and response procedures, as well as leverage security playbooks to prioritize, standardize and scale response processes in a consistent, transparent and documented way.
– Quickly and accurately identify and assign the severity levels of incidents to safety alarms and support the reduction of alarms.
– Identify and better manage potential vulnerabilities in a proactive and reactive way.
– Direct each security incident to the analyst best suited to respond, while providing features that support easy collaboration and monitoring between teams and their members.
Below I wanted to list some practical examples of how a SOAR comes into action in certain situations.
Enrichment and Phishing Response: Activating a Playbook. Automation and execution of repeatable activities such as triage and involvement of interested users. Apply an extraction and control of indicators to identify false positives, then request activation of the SOC for a standardized response at scale.
Endpoint Malware Infection: Extracting threat feed data from endpoint tools and enriching that data. Cross-reference between recovered files and hashes with a SIEM solution, notify analysts, clean up endpoints, and update the tools database.
Failed User Login: After a predefined number of failed user login attempts, evaluating whether a failed login is genuine or malicious, a SOAR can activate in various ways. First of all by putting into practice a playbook, involving users and then analyzing their answers, then also the expiring passwords and finally closing the process.
Indicators of Compromise (IOC): Take and extract indicators from files, track indicators through intelligence tools and update databases.
Malware Analysis: Verify data from multiple sources, extract and delete malicious files. A report is then generated and checked for malice.
Cloud Incident Response: This is done through the use of data from cloud-focused threat detection and event logging tools. The data is then unified between the cloud and on-premises security infrastructures, correlated thanks to a SIEM. The indicators are then extracted and enriched, to then check for the presence of malice. A final step of human control to the analysts who review their information update the database and close the case.
The benefits of a SOAR
Basically, a SOAR implements working methods and protocols of action in the system for fighting against cyber threats of a company. This significantly improves operational efficiency and accelerates incident detection as well as response times, which are effectively standardized.
A SOAR increases analysts’ productivity and allows them to focus on improving security instead of performing manual tasks.
By exploiting and coordinating the existing security technology investments in a company, it is possible to make a real difference.
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