Secure your ASP.NET Core API with a Zero Trust model by authenticating every request, enforcing least privilege, and continuously monitoring to protect against threats.
SaaS security encompasses a range of measures and protocols designed to protect sensitive data and ensure the safety of users within a SaaS environment.
Cyberattacks are becoming increasingly sophisticated. Learn how an identity-first security strategy can tackle the evolving cyber threats in an AI-first-world.
Learn how to navigate technical debt in AI projects, balance rapid adoption with long-term sustainability, and implement best practices for successful AI initiatives.
Are you confused between obfuscation and encryption or when to use each technique? Read this guide to get a clear understanding of obfuscation and encryption.
Data at rest encryption is vital in cybersecurity, securing stored data from unauthorized access and breaches. It ensures that even if data is stolen, it remains unreadable.
Follow an approach to secure distributed systems using an open-source project demonstrating how to integrate several security mechanisms and technologies.
Explore key strategies for effective data management in AI projects, including real-time access, federated queries, and data literacy for developers and engineers.
Surprisingly, cybersecurity could be as simple as following best practices, which ideally should be integrated into the culture itself. Learn more in this post.
This article examines the three most common injection attack types: SQL injection, Deserialization Injection, and Logging Injection — and discusses ways to prevent them.
Explore principles of modern data infrastructure such as scalability, high availability, speed, security, maintainability, efficiency, and developer experience.