Evaluation & Testing

LLM Security & Privacy

Enhance security and privacy in AI models with this tool.

Status
Not yet determined
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0

What it is

LLM Security & Privacy is an open-source project that helps developers enhance the security and privacy of their AI models. It provides tools to monitor, audit, and secure machine learning pipelines.

LLM Security & Privacy offers specialized tools to enhance security and privacy in AI models, focusing on monitoring and auditing capabilities that are often overlooked by general-purpose ML frameworks.

When it fits — and when it doesn’t

A good fit for

  • Teams building secure AI applications who need robust security and privacy features.

  • Projects that require monitoring and auditing of machine learning pipelines.

Look elsewhere if

  • Developers looking for a turnkey solution without customization options.

  • Projects with strict real-time requirements where additional overhead is not acceptable.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with non-Python ML frameworks

    Primary support is for Python-based ML pipelines, limited documentation on integrating with R or Julia

  2. 02

    Small community and slow response to issues

    GitHub issues have low activity and long resolution times

What it does well

  • Enhanced security for AI models

  • Privacy-preserving techniques

  • Monitoring and auditing tools

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up LLM Security & Privacy

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →