The cybersecurity industry has witnessed significant transformations over the past decade, with organizations constantly seeking advanced technology to protect their proprietary information. However, the shift to cloud infrastructure has presented new challenges for cybersecurity experts. Intrusion Detection Systems (IDS) and Security Information and Event Management (SIEM) tools have been widely used to monitor and analyze events, but they struggle to provide accurate predictive results in the cloud environment. This has led to the emergence of Cloud Detection and Response (CDR) solutions that streamline processes and provide security teams with the necessary information to focus on critical parts of the cloud security system.
In the early 2000s, SIEM tools gained popularity among IT professionals as they provided real-time insights and event logging capabilities for on-premises systems. However, with the rise of cloud computing, organizations expanded their SIEM reach into the cloud. This required strategic coordination due to the contrasting nature of on-premises and cloud environments.
While SIEM tools can offer real-time insights, they often fall short in providing predictive results. They focus more on the “what” rather than the “so what” when it comes to evaluating the potential impact of threat activities. Security teams using SIEM tools require significant effort to identify risks, map permissions, put up safety precautions, and determine motives. This time-consuming process can lead to delays in investigations and increase the risk of attackers gaining access to sensitive databases.
To address these challenges, Cloud Detection and Response (CDR) solutions have emerged. CDR solutions go beyond the limitations of SIEM tools in the cloud environment. They streamline processes and provide security teams with precise insights into the potential impact of events within the cloud. This allows teams to save time and focus on critical aspects of the cloud security system.
Stream Security, a company specializing in cloud security, has expanded its offerings to include Cloud Detection and Response solutions. Their Cloud Twin technology continuously evaluates the environmental posture of an organization’s cloud infrastructure, offering real-time insights into data traffic and correlating this information to each organization’s unique needs and guardrails. This enables security and operations teams to detect and investigate threats promptly and accurately, without inaccuracies.
Stream Security’s Cloud Twin technology is the only known solution of its kind that maps cloud dependencies in real-time. The recent upgrade to their solution includes features such as Azure Integration, Vulnerability Correlation, and Threat Anomaly Detection. These enhancements empower security and operations teams to effectively detect and mitigate threats in their cloud environment.
In conclusion, the shift to cloud infrastructure has presented new challenges for cybersecurity experts. SIEM tools, which were effective in on-premises environments, struggle to provide accurate predictive results in the cloud. Cloud Detection and Response (CDR) solutions, such as Stream Security’s Cloud Twin technology, have emerged to address these challenges. They streamline processes, provide precise insights, and enable security teams to focus on critical aspects of the cloud security system.
Key points:
1. The shift to cloud infrastructure has presented new challenges for cybersecurity experts.
2. SIEM tools struggle to provide accurate predictive results in the cloud environment.
3. Cloud Detection and Response (CDR) solutions streamline processes and provide precise insights.
4. Stream Security’s Cloud Twin technology maps cloud dependencies in real-time, empowering security teams.
5. CDR solutions enable security teams to focus on critical aspects of the cloud security system.
