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      • Assign vulnerability remediation to a team member
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      • Link vulnerabilities to Jira issues or unlink them
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    • VS Code
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      • Identify and address vulnerabilities from IntelliJ
      • Install the IntelliJ plugin
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      • Clients
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      • Endpoints
      • Secret rotation
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      • Distributed apps
      • Distributed firewall
      • Everything backed up
      • Multiple zones
      • Recovery objective
    • Confidentiality
      • Device (re)enrolling
      • Direct hiring
      • Encryption at rest
      • Encryption in transit
      • No personal gain
      • Personnel NDA
      • Secure deletion
    • Integrity
      • Applicant evaluation
      • Awareness
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      • Certified cloud provider
      • Certified security analysts
      • Comprehensive reporting
      • Developing for integrity
      • Monitoring
      • Production data isolation
      • Secure emails
      • SLSA compliance
      • Standard timezone
      • Static website
      • Training plan
    • Non-repudiation
      • Everything as code
      • Extensive logs
    • Privacy
      • Data privacy policy
      • Data retention policy
      • Data use policy
      • Email obfuscation
      • Time tracking
      • Manual for the NDR
      • Subprocessor OpenAI
      • OTR messaging
      • Polygraph tests
      • Project pseudonymization
      • Data transmission
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      • Quality policy
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  • Compare
    • 42Crunch
    • 7 Way Security
    • Aikido
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On This Page

  • Rationale
  • Alternatives
  • Go
  • TypeScript
  • Rust
  • Usage
StackLanguagesPython

Python

Last updated: Mar 5, 2026

Rationale

Python  is Fluid Attacks’ main back-end programming language.

The main reasons why we chose it over other alternatives are:

  • It is open source .
  • It is a high-level programming language that is fairly easy to understand when compared to others.
  • It has a big community that supports thousands of libraries, making it very flexible.
  • It has a big market, allowing us to easily find developers who have worked with it previously.
  • It partially supports static typing  (as an extension rather than built-in), which helps with maintainability, clarity and debugging.
  • It is an interpreted language , meaning that it does not require compilation before execution, which helps save time.

Alternatives

The following languages are being considered:

Although all these languages are better than Python in most scenarios, they are not currently being used because (a) using new languages makes it harder for developers to do their job, as it forces them to learn those new languages, increasing cognitive complexity, (b) increasing the number of languages we support also makes our stack more complex, and (c) technical debt (e.g., migrating a component from one language to another) is no easy task.

Go

  • It is open source.
  • It has a slightly more complex syntax than Python.
  • Being a modern programming language, its community is still growing and is not as big as Python’s.
  • It has a growing market, with more and more companies and developers embracing it.
  • Due to its spike in popularity, it feels like the Python of the future.
  • It is a compiled language , meaning that it requires spending extra time on compilation, but also increases source code quality by validating many things that interpreted languages like Python do not.
  • It is much better than Python in terms of dependency management and setting up environments.
  • It supports self-contained binaries, which allows for easy distribution of applications for any platform.
  • It has built-in async support, ideal for intensive I/O applications.
  • It has an acceptable multi-processing support, ideal for CPU-intensive applications.

Go  looks like a very solid alternative for pretty much everything that is currently built in Python, as it provides a middle ground between modernity, accessibility and achieving high-quality software.

TypeScript

  • It is open source.
  • It has a slightly more complex syntax than Python.
  • Like Python, it has a big community, which makes it very flexible.
  • It also has a big market, so finding developers is not a problem.
  • Its static typing support is much better than Python’s.
  • It is also an interpreted language, meaning that compilation is not necessary.
  • It is much better than Python in terms of dependency management and setting up environments.
  • It has built-in async support, ideal for intensive I/O applications.
  • It is our second most-used language, meaning that migrating components to TypeScript would reduce the number of languages we support (less complexity) and also decrease cognitive load on developers.

TypeScript  looks like a very solid alternative for non-CPU-intensive components like:

  • Integrates Back
  • Forces
  • Observes ETLs
  • Melts

Rust

  • It is open source.
  • It has a much more complex syntax than Python.
  • Being a modern programming language, its community is still growing and is not as big as Python’s.
  • It has a small market, so finding experienced developers is way harder.
  • It is one of the most reliable programming languages right now. It is memory-safe, has very powerful static typing, and allows writing highly maintainable and reliable applications in the long term.
  • It is a compiled language, meaning that it requires spending extra time on compilation, but also increases source code quality by validating many things that interpreted languages like Python do not.
  • It is much better than Python in terms of dependency management and setting up environments.
  • It supports self-contained binaries, which allows for easy distribution of applications for any platform.
  • It is one of the fastest programming languages on the market.

Rust  looks like a very solid alternative for CPU-intensive applications like:

  • Skims
  • Sorts

Usage

Python is used by:

  • Integrates Back
  • Skims
  • Sorts
  • Forces
  • Observes ETLs
  • Melts
BashTerraform

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