Addressing Cloud Security Threats with Cyber Threat Intelligence

Addressing Cloud Security Threats with Cyber Threat Intelligence

The global cloud services market continues to expand as businesses throughout the world embrace cloud technology.

In fact, according to MarketsandMarkets’ research report “Cloud Computing Market – Global Forecast to 2026,” the global cloud computing market is expected to grow from USD 445.3 billion in 2021 to USD 947.3 billion in 2026, at a CAGR of 16.3% during the forecast period. 

However, all of the advantages of the cloud come with a catch: cloud vulnerabilities.

Cyber Threat Intelligence

While cloud computing has shown to be a reliable method of storing and exchanging information, adopting cloud security is a task and often a struggle.

Integrating cyber threat intelligence with cloud security provides businesses with a more robust and cost-effective protection solution. By obtaining and evaluating cloud-specific relevant data as well as adversarial techniques, strategies and procedures (TTP), threat intelligence would allow enterprises to focus on fixing cloud security vulnerabilities.

Threat intelligence boosts the effectiveness of cloud security. Security teams can make better security decisions since they are exposed to information regarding unknown threats. Cyber threat intelligence also aids cloud security experts in developing a shared understanding of external and internal cloud vulnerabilities. This type of data can help professionals in efficiently reducing risk across numerous cloud platforms.

Also Read: How CISOs can Effectively Handle Third-Party Security Risk Management

Integrating Cyber Threat Intelligence in Cloud Security

Integrating cyber threat intelligence into cloud security isn’t nearly as difficult as it appears. For threat intelligence, security professionals concentrate on understanding cloud-specific data resources such as TTP and static indicators. The data is then subjected to a thorough examination in order to provide an intelligence report that can be utilized to make well-informed security judgments.

Checking Requirements and Planning

This is the first and most crucial stage of cyber threat intelligence. Within it, security teams define threat intelligence objectives depending on elements such as the potential impact of the choice on the cloud security module and how time-sensitive the decision is.

The step also considers how the cloud security team will most likely put the intelligence-based choice into action. If a non-technical executive is receiving the threat intelligence report, the reporting must be non-technical as well.

Collecting Data

This step entails acquiring raw data based on the needs established during the gathering and planning phase. Because the threat intelligence is for cloud security, the information is based on cloud security threats and vulnerabilities and gathered from a variety of sources, including internal and external resources.

Data Processing

The data collection process does not end there. To conduct the analysis, the obtained data must be sorted, structured, filtered, and frequently decrypted. Professionals add metadata tags and eliminate unwanted and repetitive material at this step. Because manually doing this operation is time-consuming and prone to human error, most businesses rely on powerful machine learning tools to sort the essential data for analysis.

Also Read: How to Make Your Security Operations Center Future-Ready

Data Analysis

After processing, the data is assessed to learn more about it and to see if it meets the standards set forth in the first step. However, searching for possible cloud security issues and vulnerabilities, as well as notifying teams responsible for managing those risks, is at the heart of data analysis.

The data is further analyzed so that the report of the findings can be presented to the target audience, CEOs, and security team leaders.


The fully completed preliminary data analysis report has now been given to all relevant parties. This report provides information on data analysis of the collected data. Because the data is time-sensitive, it necessitates prompt action to ensure its protection. Additionally, because threat intelligence is a continuous process, it must be tracked via a ticketing system.


The intelligence process concludes with the preparation of a final report. This report provides insight into the entire intelligence process, as well as the data discovered and analysed. The security team leaders and executives review the finished intelligence product after getting it to see if it addresses their security issues. They strategize approaches for limiting potential cloud security vulnerabilities based on this report.

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