Threat Detection and Response – Security Boulevard

As organizations house their critical data on virtual servers and with increased use of networks, automation, and the Internet, the risks associated with cyberattacks have multiplied. As in any other activity, intelligence is essential to ward off any enemy attack. In the IT context, intelligence and threat detection is the knowledge that enables businesses and government organizations to prepare for and prevent such attacks.

Threat Intelligence is based on data that makes it possible to know in advance the identity of the attackers, their motivations, their capacities. It also indicates that areas of the system are weak or vulnerable which could be the potential target. By knowing this crucial information as an intelligence input, cyber experts make informed decisions on how to strengthen security.

Threat detection is handled by Seceon through User Entity Behavior Analysis (UEBA) relying on machine learning algorithms to identify the various tactics and techniques used by perpetrators.

Threat detection

This activity is performed in the IT ecosystem which helps to scan and analyze the entire network and identify if there is any malicious activity that could compromise the network. If a threat is detected, efforts to mitigate and neutralize them before they can exploit vulnerabilities in the system.

Getting breached can be a nightmare for any organization, and almost all organizations are now prioritizing their cybersecurity controls. They put smart technologies and people to work on the information received by creating a defensive barrier in anticipation of anyone trying to cause trouble. Cybersecurity is an ongoing process and must be constantly alert as it is not a guarantee against attacks.

The concept of threat detection is multifaceted when examined against the specific security programs of different organizations. Worst-case scenarios should always be considered when, no matter how best an organization’s security program is, something slips past defensive or preventative technology and becomes a threat to the system.

Threat detection and response

Speed ​​is key when it comes to detecting and mitigating threats. It is essential that security programs detect threats efficiently and quickly so that attackers do not have enough time to focus on sensitive data. A defensive program is designed to prevent most threats based on their past experience and analysis. This means they know the attack pattern and how to fight them. These threats are considered “known threats”. In addition to these, there are other “unknown” type threats that organizations need to detect and counter. This implies that these threats have never been encountered before, as attackers can use new techniques and technologies to circumvent existing barricades.

It is also observed that even known threats can sometimes escape defensive measures. This is why organizations must look for the known and unknown varieties in their computing environment.

So how can an organization ensure that it detects known and unknown threats before damage is done? There are several ways to strengthen your defensive arsenal.

  • Harnessing Threat Intelligence

Threat Intelligence helps understand past attacks and compare them to enterprise data to identify new threats. This is effective when detecting known threats, but may not provide valuable information for unknown threats. Threat intelligence is frequently used in antivirus, IDS or intrusion detection systems, security information event management, and web proxy technology.

  • Set traps for attackers

Attackers find some targets too tempting to leave. Many security teams know this and prepare a bait for the attacker, hoping that he will succumb. An intruder trap could be a honey trap within internal network services. They may seem attractive to the attacker, who prefers to use honey credentials with full user privileges. This attacker will then trigger an alarm on the security system data. The security team is alerted to potentially suspicious activity on the network and urges them to investigate even though nothing has happened.

  • Analysis of user and attacker behavior

By using user behavior analysis tools, an organization will be able to understand the expected behavior of its employees. For example, what type of data employees typically access, what time they typically log into the system, and from what location. A sudden change in their behavior, such as logging into the organization’s systems at 2 a.m. from another location, raises suspicion because the affected employee typically works from 9 a.m. to 5 p.m. and never travels. This unusual behavior requires immediate investigation by the security team.

For attacker behavior analysis, it is difficult because there is no benchmark or benchmark for activity comparison. Here, one should look for unrelated activities detected on the network, which attackers leave behind as breadcrumb activity. Here, the human mind and technology come together to put together crucial pieces of information that help form a clear picture of what the attacker might be doing on the organization’s network.

  • Perform threat hunts

Instead of waiting for threats to appear, the security team takes a proactive approach. It comes out of their network endpoint to search for attackers who may be hiding nearby. This is an advanced technique used by security experts and analysts who are threat veterans. Also, using all of the above combinations of approaches is a great proactive way to monitor data, assets, and employees.

Two-pronged approach to threat detection

An effective threat detection strategy requires both human and technological resources. The human component consists of security analysts who analyze trends, behaviors, patterns, data and reports and identify outlying data that indicates a potential threat.

Technology also plays a crucial role in detecting threats, although no single tool can do this job on its own. Instead, there is a combination of tools gathered across the network that helps identify threats. A robust detection mechanism that should be deployed includes.

  • Aggregate network event data including connections, network access, authentications.
  • Monitor and understand traffic patterns in the organization’s network and the Internet.
  • Detect endpoint activity on user machines to understand any malicious activity.

Seceon’s solution

  • A compromised ID is a clear indicator of an insider trying to access information that they could potentially misuse. As shown in the screenshot below (aiSIEM portal), a particular user was found to connect to an unexpected host, which deviated from the profiled behavior.
  • Data exfiltration is also an activity that can be undertaken by the insider. In this case, there may be indicators of increased communication with a high-value host. The techniques applied are similar to the Data Breach Detection use case.

Conclusion

By employing a combination of defensive strategies and methods, organizations increase their chances of detecting threats early and effectively repelling them before the network is damaged. Cybersecurity is an ongoing process and service providers like Section use the most advanced artificial intelligence for the technology required for threat detection. They provide remedial platforms for organizations beyond traditional defense tools that are often silos in nature. By providing comprehensive, real-time vulnerability scanning, they detect threats and eliminate them in real time.

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