How do you secure your programming language in a cloud environment?

If the question is about how to secure a programming language that has already been selected for a cloud native env, then any lang?security in a cloud native env?depends on a number of factors, including data encryption, communication protocols, package?security, which ultimately runs the code, security testing, etc. Throughout the application's development lifecycle, deployment, and runtime stages, coding language security is important. While programming langs?like Python and Java offer greater protection against typical security flaws, C and C++ are more vulnerable to memory-related problems like buffer overflows. Safe coding techniques, such as avoiding unsafe functions and bounds checking, may help reduce these kinds of problems.

Each and every programming languages have their own pros and cons and they excel in certain kind of tasks. In the cloud environment we need to always look for cloud native development and rather than implementing everything using one programming languages try to use multiple languages. However in poly cloud environments like AWS or Google or Azure, it's been found that NodeJs and TypeScripts offers rapid and secure development and they are most popular among the cloud engineers. Go and python are also one of the widely used programming languages in the cloud environment.

?????? ?????? ?????? ?????? ?? ???????????????? ???????? ???????????????? ???????????????? ????????????????, ???????? - Rust for its memory safety. - Python with its extensive security libraries. These initial choices set the foundation for building secure cloud applications.

You may have to adopt several measures to secure the programming language in a cloud environment. Here are some tips: Encryption: You should encrypt the data to ensure saturism and privacy. Use encryption in cloud storage, databases, and other resources. Access Control: With access control make sure that only the required ones are allowed to reach. Use IAM (Identity and Access Management) to ensure this. Level of protection: To make your programming language secure, you must implement different levels of security, such as operating system security, network security, and application security.

I'm going to throw a wrecking ball and say that the premises of this AI generated article are way off. Number one is and will always be "answer how you will validate the security of your system." This is significantly more important than anything on this list. In good software systems, the avenues of attack are ones that no one considered like hijacking some unit testing tool you use to inject malicious code, or socially engineered attacks that engineers felt "weren't their responsibility". If you want to understand if your system is secure or not you need to actually test for it in addition to education and peer review.

You can use any programming languages or frameworks and also can go for cloud-native tools. However it should be kept in mind that there are some best practices that should be practiced in order to have a secure cloud environment - 1. Keep all the parameters in Vault kind of services instead of hard coding into the application code. 2. Integrate password rotation policy for the vaults periodically so that when your application connects to the vault it should always use the latest authentication data to download the configuration data. 3. Use 3 tier architectures like keeping the backend service and database totally separate to each other. 4. If possible use Kubernetes.

1. Comply to OWASP Top 10. 2. Regular vulnerability scan on 3rd party packages used in the application and patch critical/high ones on high priority 3. Follow Security by design

There are several factors you have to keep in mind while working with Cloud Service Providers (AWS, GCP...): - Read the documentation of whichever cloud-native tool or framework you are going to integrate - Look for the security best practices in their documentation and follow it - Combine it with your coding best practices

Securing a programming language in a cloud environment depends on the following key best practices. 1. OSS and Static scanning - Ensure that you are security scanning the open source libraries and codebase with efficient tools and technologies. 2. Educate developers for secure coding best practices. 3. Ensure you are following the cloud security best practices to execute your code e.g. use VPCs, strict network firewall rules, leas privilege authN/authZ policies etc. 4. Ensure that data encryption is in place for REST and In transit both and for In transit, you are making use of up to date TLS certificates. 5. Scan cloud environment periodically for any misconfiguration and vulnerabilities which can lead to a risk to your organisation.

An IAM policy that allows role-based access to execute a program hosted in the cloud, with execute privileges associated with encryption keys (PEMs) or alternatively, tying the access to an API key obtained from an authority would ensure that authorized agents only can execute the program. The question needs a bit of clarification - is the source code protection implied (which is not the answer I provided) or the execution rights to the compiled / executable code (which I have addressed)?

Logging needs special consideration in the cloud - Use of correlation ids so that log aggregators can trace the request across various services - Masking of sensitive information such as PHI data - Structured logging for easier parsing by log aggregators such as Splunk - Log retention policy if required for audit or compliance

This applies to any programming language: - Learn coding best practices like naming convention, code / folder structure (Design Pattern), System Design, Testing best practices etc... - Integrate tools that automates like linters, unit testing - Never push any sensitive information to Github, use environment variable - Comments for others to better understand your code and functionalities - Documentation for everybody whether it's for your future self to follow or team to follow or for end users.

If we talk from coding standards perspective, we should adopt coding standards that prioritize security, like - OWASP's Top Ten for web applications. - Ensure code reviews and - Static code analysis are part of your development process to catch vulnerabilities early.

Having standards in terms of naming conventions as well as proper use of modular functions can help to reduce spaghetti code which can become a rube Goldberg machine for a small task

While developers should be aware of OWASP top 10 and the applicability of the security risks on the particular module they are developing ,a checklist can minimize chances of security vulnerabilities left unaddressed in the application . Some important points are - All user input is untrusted and must be validated and sanitized . Use standard AntiXSS libraries. - Ensure 3rd party libraries are up to date . - Log judiciously . Only support should have detailed stacktrace to identify root cause - Implement authorization controls at method level to implement RBAC - Move away from custom implementations in critical area's such as authentication/authorization to standard protocols such as SAML and OAuth 2.0.

- Always use HTTPS / SSL for your domains - Store your sensitive information in your cloud service providers secret manager tool which provides feature to auto encrypt and decrypt. So that you don't have to manually do it - Integrate proper authentication workflow such as OAuth2.0 for REST APIs - End to end encryption is depends on use cases such as messaging or chat application or Credit Card information or any personal information of the end user.

Encryption plays a pivotal role in mitigating the risk of data breaches, which can cripple organizations and compromise sensitive information. By employing strong encryption algorithms, organizations can significantly enhance the security of their data assets, making it extremely challenging for attackers to decipher the encrypted data even if they gain access to it.

As a best practice, implement continuous monitoring of your applications with robust tools such as Data Dog or Google Cloud Monitoring to gain insights into performance and potential security issues. It's crucial to maintain a routine of regularly updating and patching your code, addressing vulnerabilities promptly and staying ahead of evolving security threats. This practice not only ensures the security of your applications but also enhances their reliability and performance.

- I would recommend to have a proper structured logging and setup alerts to get notification when something goes wrong - Use tools to monitor your website's / server / database performance, identify the issues and fix it - Must have a rollback plan or feature flags to do worry free releases.

Following best practices can be implemented to securely monitor and update your code. 1. Use logging/monitoring tools like CloudWatch or Datadog to gain insights from the logs to understand if there is anything wrong. 2. Implement a proper error handling in advance and then use logging/monitoring tools to visualize those errors. 3. Monitor the code for any security misconfigurations and vulnerabilities. 4. Monitor the code for any performance related bottlenecks in your code. For example some piece code taking longer than expected to execute. 5. Once you have identified the issues in code by monitoring, then you can update the code and test it throughly before pushing it into production.

Getting authentication right is the most important part . Every team should have Authentication SMEs device an authentication strategy for the particular application domain. Choose correct protocol SAML 2.0 for enterprise Apps with web application interface for seamless SSO/SLO interoperability with other SAML 2.0 web apps federated with the same Identity Provider OIDC for Authentication and OAuth 2.0 for Authorization for light weight mobile apps WebAuthn for apps using modern browsers and users having access to devices such as Yubikey A strategy for 2nd factor authentication should be developed . Should applications move towards a password less approach from "what I know" to "what I have" or "who I am".

It’s a good idea to have mentorship in the team and provide guidance and feedback each to others. No one is perfect, but nonstop learning and finding new improvements helps to make your code better

Education goes a long way. There’s plenty of tools to do SAST, lint, and standards violation checks. Yet those rely on known vulnerabilities and exploits. Knowing the abstractions you’re working on and ensuring the team is at the same level adds up to prevention.

By ingraining security awareness and best practices into the fabric of your team's culture, you create a robust defense posture against potential threats, fortifying your code and cloud infrastructure against adversarial exploits.

Additionally, 1. Implement strong authentication mechanisms, such as MFA. Use cloud identity and access management services to control access to resources 2. Regularly review and update configurations for programming language frameworks to adhere to security best practices 3. Enable comprehensive logging for your applications and cloud services 4. Regularly update dependencies and libraries to patch vulnerabilities 5. Utilize cloud-based firewalls and network security groups to control incoming and outgoing traffic 6. Conduct regular security audits and penetration testing to identify and address vulnerabilities proactively 7. Implement regular backup and recovery procedures for critical data and configurations

????????????????????????, ???????????? ???? ???????????? ?????? ?????????? ?????? ???????????????????? ?????????????? ???? ?????????? ??????????????????, ???????? - GDPR for data privacy. - Understand the shared responsibility model in cloud security. - Choose a cloud provider/cloud services that aligns with your security needs.