Systems | Development | Analytics | API | Testing

Cybersecurity is one of the top concerns for businesses today. Vulnerabilities make the news when they turn into expensive breaches. With the cloud so prevalent in today's digital landscape, much attention has turned to API security. Network attacks aimed at APIs increased by an incredible 681% in 2022. Considering the continued popularity of SOAP (simple object access protocol) APIs, it is now a top priority for global IT leaders to learn SOAP's security best practices.

We’re proud to announce that Cloudera signed the Cybersecurity and Infrastructure Security Agency (CISA) “Secure by Design” pledge, joining a network of industry leaders dedicated to embedding security at every stage of the product lifecycle. To be good stewards of our customers’ data, it is critical for security to be a fundamental component of every product and service we offer–not just an afterthought.

More than 80% of developers and business leaders say AI investments have already created the opportunity for new products or services, according to Kong’s 2024 API Impact Report. Clearly, AI has proven its value and place in the enterprise, but with new innovations come new potential vulnerabilities. But as organizations push forward into and navigate the rising risk of AI-enhanced threats and the adoption of AI tools and large language models (LLMs), what have tech leaders experienced?

Organizations are in a sheer need to stay up-to the minute, and be ahead for protecting their systems and data. Penetration testing can prove to be a structured process that can mimic the real-world vulnerabilities before it’s prone to any malicious exploits. In this entire lifecycle of pentesting, we got some tools in order to automate, streamline, and enhance each phase of it. They could be of various types, based on their specific role in this entire lifecycle.

One of the major challenges in detecting phishing is the limitations at the Internet Service Provider (ISP) level. Traditional tools often lack the visibility and ability to recognize phishing sites in real time, as they mostly rely on network-level information. Phishing schemes frequently use complex, changing tactics, like rotating domains or imitating legitimate sites, which can go unnoticed without a detailed analysis of the site’s content.

Querying databases comes with costs—wall clock time, CPU usage, memory consumption, and potentially actual dollars. As your application scales, optimizing these costs becomes crucial. Materialized views offer a powerful solution by creating a pre-computed, optimized data representation. Imagine a retail scenario with separate customer and product tables. Typically, retrieving product details for a customer's purchase requires cross-referencing both tables.

If you want to run a SaaS app where your customers can each have one of their own domains pointing to your app, then you will encounter two problems: For example, let's say you wanted to provide a status page service hosted at yourapp.com that allows customers to set up their own domain (like status.acmecorp.com) to be served by your app. Let's dive into the solutions..