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How does Cloud Honeypot adapt to different cloud architectures?

Cloud Honeypot adapts to different cloud architectures by leveraging its flexible deployment models and compatibility with various cloud environments. It can be deployed as a virtual machine (VM) in Infrastructure as a Service (IaaS) environments, as a containerized service in Platform as a Service (PaaS) setups, or even as a serverless function in Function as a Service (FaaS) architectures.

For example, in an IaaS architecture like Tencent Cloud's Virtual Machine (CVM), a honeypot can be deployed as a decoy VM to attract and monitor malicious activities. In a PaaS environment, such as Tencent Cloud's Container Service (TKE), honeypots can run as containers, allowing dynamic scaling and easy integration with microservices. For serverless architectures, Tencent Cloud's Serverless Cloud Function (SCF) can host lightweight honeypot scripts that trigger upon suspicious interactions.

Tencent Cloud also provides managed security services like Cloud Security Center, which can complement honeypot deployments by correlating threat data and enhancing detection capabilities across hybrid cloud environments.