Secure your R Shiny apps
Protect your data and applications with robust security practices.
- Keep your R Shiny apps security at a high standard
- Prevent vulnerabilities and ensure data integrity
- Apply server hardening to prevent common threats



Protect your data and applications with robust security practices.
Learn essential steps to tighten the security of your R Shiny apps.
Understand principles like least privilege and secret management.
Keep track of your app's dependencies and known security issues.
Get information on tools for detecting and addressing security vulnerabilities.
Gain insights into how you can protect your web server from common security threats.
Learn about different encryption protocols for sensitive data.
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Upskill and learn more with our expert guide.
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Benefit from a complimentary discovery meeting to discuss security vulnerabilities and potential improvements to your application.
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Explore the value of a comprehensive security assessment with us. We will compile a report of vulnerabilities for your R Shiny apps and hosting environment, including suggestions for how these can be addressed.
Struggling with the security of R Shiny apps can leave you feeling frustrated and vulnerable. Lacking the skills to secure and protect your insights effectively can be a major risk to your organisation.
We are experts in developing, hosting, and deploying R Shiny apps. By linking complex analytics with practical decisions, and we support many organisations to make their data and research more accessible. Using open-source technologies, we visualise data, craft dashboards and research & analytical software. We can help you fine-tune your data science infrastructure or securely host applications for you.
As Oceania’s Posit Full Service Partner, we can support you with Posit Professional Products and help you using R and Python to their best potential.
There are several ways how you can increase security of your app. Follow our guide for best practices, including the "principle of least privilege" and managing the risk of dependencies.
Learn about threats like code injection and cross-site scripting in our guide.
Tools like renv and vulnerability scanners can be used to keep your app dependencies secure.
There are a variety of secure protocols, such as TLS, that can be used to encrypt data. More details can be found in our guide.
Yes, we offer comprehensive R Shiny security assessments, which include extensive vulnerability testing and expert suggestions on how to address any vulnerabilities identified.
Secure your data insights and protect them against vulnerabilities. Download our free guide on securing R Shiny applications and:
Learn about essential security practices and safeguarding your R Shiny apps and data.
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