Systems | Development | Analytics | API | Testing

Not All MFA is Created Equal, Especially in CIAM

In many industries (finance and healthcare, to name a couple), regulations require the use of multi-factor authentication (MFA) to protect access to sensitive data and transactions. Also, an important executive order was issued, aimed at improving the cybersecurity posture within the US government by requiring all federal agencies to adopt MFA systems. Regulations and standards like these will continue to spread over more industries and transaction types.

Preserving Data Privacy in Life Sciences: How Snowflake Data Clean Rooms Make It Happen

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

The Ultimate Data Privacy Checklist For Your Business

It's hardly groundbreaking to mention the importance of data privacy in the digital world and in business…it's a topic we've previously explored. However, acknowledging its significance is one thing, implementing actionable steps is another. This realization is the inspiration behind this article. There’s no need for you to jot anything down or replicate the checklist, as we’ve prepared a downloadable gated version ready at the conclusion of this article. So let’s get into it.

Ensuring Comprehensive Cyber Resilience and Business Continuity

When a data breach occurs, your response is critical. What do you do first? Do you have a plan for communicating with business units, regulators and other concerned parties? The integrity and security of data infrastructure stand as paramount concerns for business leaders across all sectors. As technology evolves and threats become more sophisticated, the pursuit of an unbreakable data infrastructure remains an ongoing challenge.

GenAI: Navigating the Risks That Come with Change

For enterprises, commercial use of AI is still in its early stages, and it’s a case of risk and reward, weighing up both and investigating the best way forward. Of course, there’s much to gain from the use of AI. Already, companies are providing better customer service, parsing complex information through natural language inputs, and generally making workflows faster.

Authentication and Authorization Using Middleware in Django

Django is a “batteries-included” framework. It has a wide array of built-in features that handle common web development tasks: URL routing, template engine, object-relational mapping (ORM), and database schema migrations. This makes it highly efficient for rapid development, allowing developers to focus on building their applications' unique aspects without reinventing basic functionalities.

A Look At Gurucul's Threat Detection, Investigation, And Response Platform

In this episode of "Powered by Snowflake, host Julian Forero chats with Nilesh Dherange, Co-founder and CTO of Gurucul, about data, cybersecurity, and machine learning in the context of Gurucul's threat detection, investigation, and response platform. Founded in 2010, Gurucul's mission has always been to bring together different silos of cybersecurity data. In this conversation, Nilesh provides an in-depth demo showing how the platform works, while explaining how its capabilities have advanced over time through the use of machine learning models and the adoption of Snowflake as one of its supported data lakes.

Exposed: How Secure Are Your Embedded Analytics Really?

The ever-growing threat landscape of hackers, cyberattacks, and data breaches makes data security a top priority, especially when integrating analytics capabilities directly into customer-facing applications. To make informed decisions, it’s crucial to understand how embedded analytics platforms function from a security standpoint.