Better business necessitates better security with Cloud Security Testing.
This assessment's goals are to evaluate your cloud-based environment's cyber security posture using simulated attacks and to find and use weaknesses in your cloud security services. Our cloud security testing methodology prioritize the most vulnerable areas of your cloud Application and recommend actionable solutions. The results of the cloud Security Testing will be used by the organization, to enhance the security feature of organization. The principal examples include Amazon Web Services(AWS), Microsoft Azure, Google Cloud Platform, and others. A concept of shared accountability is necessary for cloud penetration testing.
Examining attack, breach, operability, and recovery issues inside a cloud environment is the goal of cloud security testing.Our Cloud Testing Methodology is based upon Best Practices and uses both automated cloud security testing tools and manual techniques to identify security vulnerabilities that may threaten the security integrity of your cloud platform such as configurations flaws, excess builds etc.
There are various kinds of cloud penetration testing, such as:
Why do organizations need Cloud Security Testing?
Each cloud service provider has a pentesting policy that outlines the services and testing methods that are allowed and not allowed. To begin, we must confirm which cloud services are utilized in the customer's environment and which services can be put to the test by cloud pentesters.
a. In order to establish the start and finish dates of the pentest, our first priority is to get in touch with the customer. b. Pentesters require time to understand the system after receiving the information, so they can examine it - look into its source code, software versions, potential access points to see if any keys have been released.
Tools for cloud pentesting should resemble a real attack. Numerous hackers employ automated techniques to identify security holes, such as constantly attempting to guess passwords or searching for APIs that give them direct access to the data.
Cloud pentesting would be useless without assessing the results and answers. We must assess the results after using the automated tools and running manual testing. Documentation of each response is required. One of the steps involves the use of our knowledge and experience with the cloud.
At Kratikal, reporting is treated as the most critical stage of the engagement, expert-led findings delivered through AutoSecT with clarity, precision, and complete transparency, so you know exactly where you stand and exactly what to do next. Every cloud vulnerability identified by Kratikal's security experts is documented, prioritized, and ranked within AutoSecT. Findings are presented with full context, severity scoring, exploitability, and asset-level detail, so teams can interpret results instantly and align on what matters most. AutoSecT also serves as an ongoing vulnerability management platform with integrations, compliance mapping, and SLA breach insights. For every vulnerability identified, AutoSecT's AI engine prioritizes vulnerabilities by real-world risk and generates intelligent, context-aware patch recommendations
It gives enterprises the ability to process, store, and transport data on multi-tenant servers located in outside data centers. An information threat and risk assessment should be performed prior to hosting sensitive company information assets on a cloud platform.
The main dangers include account theft, malicious insiders, DDOS, human error, and inadequate security settings.
The testing should be done yearly or more frequently if the platform's hosting of sensitive or high-volume in formation assets increases.