detect-secrets VS gatekeeper

I searched a bit and found: https://github.com/Yelp/detect-secrets

To add my anecdote, testing out Trufflehog versus Gitleaks and detect-secrets the other tools seemed superior on detection rate and easier to work with.

Respecting your privacy: To protect your sensitive data, um uses the excellent detect-secrets python library to remove passwords and tokens before indexing commands. Also our OpenAI account is opted out of collecting and using data for training the next versions of GPT.

exclude: "^/migrations/" default_stages: [ commit, push ] default_language_version: python: python3 repos: - repo: https://github.com/Yelp/detect-secrets rev: v1.4.0 hooks: - id: detect-secrets name: Detect secrets language: python entry: detect-secrets-hook args: ['--baseline', '.secrets.baseline']

repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v2.3.0 hooks: - id: check-yaml - id: end-of-file-fixer - id: trailing-whitespace - repo: https://github.com/Yelp/detect-secrets rev: v1.4.0 hooks: - id: detect-secrets - repo: https://github.com/igorshubovych/markdownlint-cli rev: v0.33.0 hooks: - id: markdownlint args: ["--disable=MD013"] # this removes line length warnings

Yelp has a "detect-secrets" project that can detect potential secrets and can be used as a pre-commit hook: https://github.com/Yelp/detect-secrets

detect-secret is an enterprise-friendly tool for detecting and preventing secrets in the code base. We can also scan the non-git tracked files. There are other tools as well like Gitleaks which also provide similar functionality.

As presented in the report, a lot of secrets are hardcoded in the Git repository. This can be detected by secret detection tools. There are OSS like https://github.com/Yelp/detect-secrets or SaaS alternatives. The detection process can be executed by every team member locally using Git Hooks and on Github using Github Checks on the Pull Request level.

When the Gatekeeper validatingwebhook came up, I was really worried that'd be the issue! Regardless I'd recommend anyone who cares about their cluster not collapsing to change the gatekeeper webhook to only intercept resources you care about: https://github.com/open-policy-agent/gatekeeper/pull/1806

Kyverno adds an extra layer of security where only the allowed type of manifest is deployed onto kubernetes, otherwise, it will reject or we can set validationFailureAction to audit which only logs the policy violation message for reporting. Kubewarden and Gatekeeper are alternative tools available to enforce policies on Kubernetes CRD.

Now, we have the hardest part resolved and let's turn our attention to the OPA Gatekeeper. Gatekeeper uses the OPA Constraint Framework to describe and enforce policy. Right now there are mainly 3 parts we should pay attention:

They enable you to establish the policies and regulations that govern cluster deployments and applications. Using predefined policies, policy engines can dynamically modify or create configurations. Policy engines such as Gatekeeper and Kyverno can be leveraged to meet legal and compliance requirements while maintaining operational flexibility and development speed.

Setup policy around what resource requirements can be requested by an app per environment. OPA and gatekeeper or kyverno can help. Setup access control for who can create or modify apps.

OPA Gatekeeper is an open source, general purpose policy engine. OPA decouples policy decisions from other responsibilities of an application, like those commonly referred to as business logic. OPA works equally well making decisions for Kubernetes, Microservices, functional application authorization and more, thanks to its single unified policy language.