What security measures can you take to integrate databases with cloud services?

Sensitive data can be be encrypted or tokenized before sending it to cloud. Encryption keys can be kept in a gateway on-prem or private cloud. Masking or Homomorphic encryption can be used for some limited use cases.

There are various encryption methods Symmetric Encryption: Uses a single key for both encryption and decryption. It's efficient for bulk data encryption but requires secure key distribution. Asymmetric Encryption: Involves a key pair: a public key for encryption and a private key for decryption. Hybrid Encryption: Combines symmetric and asymmetric encryption to leverage the strengths of both methods. Encrypting data at rest (storage) and in transit (during transmission) adds layers of protection: At Rest: Encrypting data stored in the cloud safeguards it from unauthorized access or theft. In Transit: Encrypting data during transfer between the cloud and local networks.

While encryption is crucial, it's also important to control who has access to the data. This includes managing permissions and ensuring that only authorised users can access sensitive data.

Agree with Ulf Mattsson. In addition to that you can use: 1. Partial tokenization of data. E.g. leaving first 6 digits of a CC number in the clear. 2. Confidential Computing. This is where only a processor sees the data in the clear.

While regular backups are mentioned, there's no explicit mention of comprehensive disaster recovery plans that ensure data restoration and continuation of services in the event of a major incident.

The quality of customer support and technical assistance offered by the cloud provider is crucial, especially in resolving issues and downtime.

Selecting a reliable cloud provide can depend on various factors: Reliability score: As AWS have 11 9s and Azure has 4 9s - which shows how stable the services are of that cloud provider. Service Dependencies & Partnerships - how vast the range of service provides by the cloud provider Data Security, Data Governance, and Business policies - As countries have different policies related to data.

Regular monitoring and continuous auditing of data in the cloud constitute a vital security measure. This practice enables the timely identification and prevention of abnormal or malicious activities that may compromise data integrity, including unauthorized access, alterations, or deletions. Employ diverse tools like logs, alerts, dashboards, and reports to gather and analyze data activities and performance effectively. Establishing a well-defined audit policy outlining the specifics of what, when, how, and by whom data is audited ensures consistent oversight and adherence to security protocols, fortifying your cloud environment against potential threats.

10. Firewalls and Network Security Solutions for data traffic between the cloud and database Firewalls and other organization security tools play an essential part in getting your cloud data secured. A firewall goes about as a hindrance between your information and possible dangers from the www web. It will investigates active traffic in view of predefined rules and blocks any dubious data traffic. Other organization security tools which we have used like interruption counteraction frameworks (IPS) and interruption location frameworks (IDS), can additionally upgrade your information security. These systems monitor your network for signs of malicious activity or policy violations and take action accordingly