Systems | Development | Analytics | API | Testing

Security

5 Steps to Serverless Security With the AWS Lambda Plugin

For the DevOps-averse developer, lambdas are heaven. They can focus on writing self-contained and modularized pieces of code, deploying these functions for on-demand execution without being concerned about resource management or infrastructure. Lambda execution , however, can be tricky. Serverless security with the AWS API Gateway can feel daunting, especially when all you want to do is call a simple function as an API endpoint. For this, there’s the ease of Kong Gateway .

Securing Your SQL Server Application: Enabling Client-Initiated Encrypted Connections

In the previous article we discussed how to enable a server initiated encrypted connection to a Microsoft SQL Server. But what if we have a scenario where we do not want to incur the overhead of encryption for every application? In that scenario instead of configuring the server to force encryption we will instead need the client to initiate the encrypted connection.

What Is Homomorphic Encryption?

Data encryption is one of the smartest things any organization can do to protect the privacy and security of confidential and sensitive data. Using a unique encryption key, data is converted to an intermediate representation known as “ciphertext,” which usually appears as a jumbled mixture of letters and numbers to the human eye. This encrypted data will be meaningless to anyone without the corresponding decryption key—even malicious actors who breach an organization’s defenses.

Understanding BigQuery data governance

Want everyone in your organization to be able to easily find the data they need, while minimizing overall risk, and ensuring regulatory compliance? In this episode of BigQuery Spotlight, we’ll examine BigQuery data governance so you can ensure your data is secure. We’ll also go over Cloud Data Loss Prevention and an open-source framework for data quality validation.

Make your data more secure than ever with Talend Data Fabric

At Talend, we believe achieving healthier data is essential for business success. Safeguarding private data and staying in compliance with global regulations leads to healthier data by significantly decreasing risk – reducing the potential of having to pay dizzying fines or suffering a data breach that destroys customer relationships and trust.

Keep your cloud close and your data closer

Everyone knows that more and more data is moving to the cloud. According to the latest research, 94% of all enterprises use cloud services and 48% of businesses store classified and important data in the cloud. While the cloud is ubiquitous, in practice it consists of data infrastructures in various locations around the world. The question of where the cloud data infrastructure storing your specific data is located is becoming increasingly important.

Interview with Cybersecurity Specialist Mark Kerzner

For the newest instalment in our series of interviews asking leading technology specialists about their achievements in their field, we’ve welcomed Mark Kerzner, software developer and thought leader in cybersecurity training who is also the VP at training solutions company, Elephant Scale. His company has taught tens of thousands of students at dozens of leading companies. Elephant Scale started by publishing a book called ‘Hadoop Illuminated‘.

Minimizing Security Risks in APIs and Microservices

Application Programming Interfaces (APIs) and microservices are the foundational pillars of digital transformation initiatives. They simplify the development process for our technology teams, enabling them to innovate faster, increase customer engagement and boost business agility. However, while this transformation of business digitally opens doors to limitless opportunities, it also opens doors to many challenges – with one of the most significant challenges being security.

Assessing security risks with Kafka audits

Suppose that you work for the infosec department of a government agency in charge of tax collection. You recently noticed that some tax fraud incident records went missing from a certain Apache Kafka topic. You panic. It is a common requirement for business applications to maintain some form of audit log, i.e. a persistent trail of all the changes to the application’s data. But for Kafka in particular, this can prove challenging.