Gretel Blog

Exploring NLP Part 1: Why Should a Privacy Engineering Company Care About NLP?

Exploring NLP Part 1: Why Should a Privacy Engineering Company Care About NLP?

There is a lot of hype around NLP. In this post, we explore some of the criticisms and how you can use this technology responsibly.
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Introducing Gretel's Privacy Filters

Introducing Gretel's Privacy Filters

Create synthetic data that’s safer than ever. Our simple configuration file settings enable you to secure both your data and model from adversarial attacks.
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Instrumenting Kubernetes in AWS with Terraform and FluentBit

Instrumenting Kubernetes in AWS with Terraform and FluentBit

In this blog, we will use Fluent Bit to collect logs from AWS EKS cluster applications.
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Build a synthetic data pipeline using Gretel and Apache Airflow

Build a synthetic data pipeline using Gretel and Apache Airflow

In this blog post, we build an ETL pipeline that generates synthetic data from a PostgreSQL database using Gretel’s Synthetic Data APIs and Apache Airflow.
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Walkthrough: Create Synthetic Data from any DataFrame or CSV

Walkthrough: Create Synthetic Data from any DataFrame or CSV

Train an AI model to create an anonymized version of your dataset using Python, Pandas, and gretel-synthetics.
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Gretel releases Beta 2

Gretel releases Beta 2

Run privacy engineering workloads at the touch of an API call.
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What's new in Beta2

What's new in Beta2

Beta2 for Gretel.ai is all about delivering privacy engineering as a service through clean, simple APIs.
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Why I Joined Gretel

Why I Joined Gretel

I joined Gretel because of the opportunity, people, and problem.
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What is Privacy Engineering?

What is Privacy Engineering?

In this post, we will dive into what privacy engineering is, why it’s important, and some of the core use cases we are seeing that are enabled by privacy.
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A guide to load (almost) anything into a DataFrame

A guide to load (almost) anything into a DataFrame

Pandas provides so many options of reading data into a DataFrame, here's our short guide to ones that we found most useful.
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