Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Application Programming Interfaces (APIs) are the connecting tissue that enables the communication between applications, internal and external, and facilitate data exchange on a massive scale. In a world where information is the crown jewel of an organization, APIs are driving the delivery of digital services to customers and partners. While their usage is already exploding, the growing popularity of cloud-native technologies and microservices has only accelerated API adoption.

Data privacy under GDPR is crucial in today's digital age. With increasing data breaches, understanding and protecting personal information is vital. The General Data Protection Regulation (GDPR) plays a significant role in safeguarding personal data and Personally Identifiable Information (PII). GDPR, implemented in 2018, sets strict guidelines on data protection for individuals within the EU.

Each July, my family and I take a road trip from Kentucky back to my hometown in northwestern Pennsylvania to spend time on Lake Erie. As tradition dictates, we stop along I-71 for coffee at a branch of a certain coffee shop, which also happens to be my former employer as a teen. (Let’s call it Siren Coffee.) This year, we sat waiting in the drive-thru for a drip coffee for a full 10 minutes.

Last year, Sysdig outlined our vision for an AI-driven cloud security assistant. Today, we are excited to announce Sysdig Sage for cloud detection and response (CDR), our new release that embodies our vision. Built upon the core principles we introduced, Sysdig Sage offers actionable insights for cloud environments, with a focus on CDR.

Generative AI (GenAI) is a top priority for organizations looking to increase productivity and solve business problems faster. In cloud security, AI chatbots to aid security practitioners are becoming more common, but to date, most of these solutions offer only basic queries and summarization. Diverse cloud environments and evolving threats require more from an AI security analyst.

AI has completely changed how we live, work and play. With its unparalleled efficiency, ongoing learning abilities and its detailed precision, it makes short work out of what used to be more complex and cumbersome tasks. Although AI systems are incredibly powerful and only growing in capacity and scale, they’re not without their challenges. Like other types of programs and infrastructures, AI is not immune to vulnerabilities and security issues.

As more and more companies adopt low-code platforms and launch AI applications, the need for proper data security has never been greater. While it’s true that low-code platforms give users the freedom to develop powerful AI solutions with minimal programming knowledge or experience, this same level of flexibility also inadvertently exposes applications to potential data breaches.

APIs are essential for modern applications as they enable seamless communication and data exchange, serving as the foundation of these applications. However, their interconnected nature makes them vulnerable to various threats. The high volume of API calls - ranging from millions to billions every month - poses a challenge in distinguishing between genuine attacks and harmless irregularities.