For the purposes of building the effective Cyber Intelligence process relevance and completeness of the received data plays the crucial role. In most of the cases the work with the Threat Intelligence (TI) data starts with the adding of open source feeds. Regarding the 2021 SANS Cyber Threat Intelligence (CTI) Survey 66.3 % of the companies use open sources for the collecting of indicators of compromise (IoC) data and they strive to work with multiple sources in parallel.

On one hand using several sources seems the most simple and obvious way to start collecting data quickly but on the flipside there is a big issue in numerous detections when you upload these indicators to the security tools. And it makes the process of the data processing by the analyst almost impossible. We’d like to note also that if you want to create block lists for security tools from IoCs or a collection for search queries on the side of EDR solutions there will be a limitation by the number of entities. This means that anyway there has to be the manual work to prepare such collection of IoCs. Besides you have to keep in mind that only indicators itselves are useless.

For the purposes of building the effective Cyber Intelligence process relevance and completeness of the received data plays the crucial role. In most of the cases the work with the Threat Intelligence (TI) data starts with the adding of open source feeds. Regarding the 2021 SANS Cyber Threat Intelligence (CTI) Survey 66.3 % of the companies use open sources for the collecting of indicators of compromise (IoC) data and they strive to work with multiple sources in parallel.

On one hand using several sources seems the most simple and obvious way to start collecting data quickly but on the flipside there is a big issue in numerous detections when you upload these indicators to the security tools. And it makes the process of the data processing by the analyst almost impossible. We’d like to note also that if you want to create block lists for security tools from IoCs or a collection for search queries on the side of EDR solutions there will be a limitation by the number of entities. This means that anyway there has to be the manual work to prepare such collection of IoCs. Besides you have to keep in mind that only indicators itselves are useless.

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Challenge

It was very difficult to locate a host when something wrong occurred within the network.

Typically, cybersecurity specialists would call a large number of colleagues from different regions before collecting all the necessary data.

In addition, different systems installed within the infrastructure provided different equipment statistics.

Results

Following the PoC process, there was a comprehensive implementation of the Defensys ACP solution that helped.

  • Consolidate all inventory information into one location: equipment technical properties, locations, time zones, equipment personnel.
  • Consolidate vulnerability data across infrastructure through automatic prioritization which has contributed to a much more efficient vulnerability management process.
  • Aggregate data from more than 1,000 distributed antivirus solution management servers.

Defensys ACP does a healthcheck of the AV system giving the up-to-date reports weekly.

As a result, the Defensys ACP has become a source of reference for assets, not only for cybersecurity personnel, but also for other departments.

Some IT systems use the ACP’s API to enrich the required data with asset information.

The system’s metrics are distributed on the Cyber Security Office video wall where the Operations Center is located.

Challenge

It was very difficult to locate a host when something wrong occurred within the network.

Typically, cybersecurity specialists would call a large number of colleagues from different regions before collecting all the necessary data.

In addition, different systems installed within the infrastructure provided different equipment statistics.

Results

Following the PoC process, there was a comprehensive implementation of the Defensys ACP solution that helped.

  • Consolidate all inventory information into one location: equipment technical properties, locations, time zones, equipment personnel.
  • Consolidate vulnerability data across infrastructure through automatic prioritization which has contributed to a much more efficient vulnerability management process.
  • Aggregate data from more than 1,000 distributed antivirus solution management servers.

Defensys ACP does a healthcheck of the AV system giving the up-to-date reports weekly.

As a result, the Defensys ACP has become a source of reference for assets, not only for cybersecurity personnel, but also for other departments.

Some IT systems use the ACP’s API to enrich the required data with asset information.

The system’s metrics are distributed on the Cyber Security Office video wall where the Operations Center is located.

In the previous article, we talked about a variety of traps and decoys. Now that the decoys are ready, there is very little left to do – to distribute them to the right hosts. This is where another criteria for selecting a Deception solution comes into play, namely how the decoys are delivered to the hosts.

Currently, the solutions fall into two main categories:

  • Agent-based solutions: specialized software is installed on the endpoint host through which decoys can be delivered and updated;
  • Agentless solutions: in this case, remote management tools, group policies, or third-party agents are used.

Each of these categories has its pros and cons:

The agent-based solution is more flexible, it allows monitoring the current state of the decoys on the host, and has quick access to all forensics but unfortunately can be detected by an attacker.

Agentless solutions offer more stealth because there is no software on the endpoint devices that can be detected by an attacker. However, local/domain administrator rights may be required to perform many actions.

Cybersecurity news

The Defensys company announces the latest version of its Threat Intelligence Platform – Defensys TIP. In v. 2.20 the vendor expanded the list of integrations with security feeds providers and the list of IoC enrichment services. There are also some enhancements in the process of integration with Defensys SOAR.

One of the key features in v. 2.20 is related to the more comprehensive tuning of enrichment services. Now users can manually set the time-to-live for the enrichment data not only by days, but also by hours and minutes. This helps to update the IoC data and to analyze TI data more precisely. Also there is some redesign of the enrichment interface block to work with data from different sources with the unified approach. Furthermore, there was the update of the integration with OPSWAT Metadefender.

Besides the other updates there is an improved logics of the user interface. Alerting rules and integrations are combined into one block that make the delivery of data to the Defensys SOAR more easy enabling to do both of these actions simultaneously. Also a user can choose the way to group events: by the rule or by the IoC value before this data goes to the SOAR. One more improvement helps analysts to receive the information related to all the activities that took place during the particular incident: now there exist activity types related to the incident ID that came from the SOAR in the IoC card.

Challenge

The Bank suffered from a large number of security alerts from different security tools and anti-fraud system. Even after the implementation of the SIEM system, that number did not decrease significantly. With the size of the organization, there were so many alerts that it was physically impossible to hire as many analysts as needed to cover all the notifications. The approach to prioritizing incidents also needed to be reconsidered as several departments of the Bank would merge within the Security Operations Centre.

Defensys products

It was a classical PoC project with a playbook for automatic response on one type of incident that was designed and implemented. One of the results of this procedure was the reduction of false positives from security tools.
 

During the PoC was developed, structured and updated the Bank’s asset model. In fact, it was consolidated in one place from different sources as other departments only worked with a portion. Eventually the problem of continuously searching for affected device data was completely solved.

Implementation

The PoC project gave the opportunity to create a document to scale test results on other types of incidents. So it was only a matter of time to cover all the incidents registered daily in the Bank.

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