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Cloudflare 2023 Year in Review

This post is also available in 한국어, 日本語, Português. The 2023 Cloudflare Radar Year in Review is our fourth annual review of Internet trends and patterns observed throughout the year at both a global and country/region level across a variety of metrics. Below, we present a summary of key findings, and then explore them in more detail in subsequent sections.

Cloud Threats Memo: Extracting Training Data from Generative AI Language Models

This year will probably be remembered for the revolution of ChatGPT (the website was visited by 1.7 billion users in October 2023, with 13.73% of growth compared to the previous month) and for the widespread adoption of generative AI technologies in our daily life.

Unwrapping the Threat: AI-Powered Phishing Attacks Take Center Stage in 2023 Holidays

As the holiday season approaches, so does the annual surge in online shopping and holiday package tracking. Unfortunately, this joyous time has also become a prime hunting ground for cybercriminals. In a concerning development, cybersecurity experts are sounding the alarm about a new weapon in the phishing attackers' arsenal: generative artificial intelligence (AI).

The Future of Call Center Solutions: Embracing Cloud-Based Innovations

In customer service, call centers play a crucial role. Call centers serve as vital intermediaries between businesses and customers. Traditional call center methods are being transformed by innovative cloud-based solutions. This transition leads to smoother, faster operations and easier scalability. Looking to the future, we are excited about how these cloud-based changes will make customer service more personal and friendly.

How Self-Learning AI Has Helped CARIAD Build An Automotive Software Powerhouse

CARIAD has been building one unified software platform for all Volkswagen brands to provide them with reliable software and digital best practices. In recent years, CARIAD and the rest of the automotive software sector faced extensive industry regulation and an array of dangerous and costly vulnerabilities. By introducing feedback-based fuzzing, an advanced white-box testing method that uses self-learning AI to uncover deeply hidden bugs and security vulnerabilities, CARIAD was able to find and fix potentially dangerous issues early in the development process.

Have you accounted for AI risk in your risk management framework

Artificial intelligence (AI) is poised to significantly influence various facets of society, spanning healthcare, transportation, finance, and national security. Industry practitioners and citizens overall are actively considering and discussing the myriad ways AI could be employed or should be applied.

Leveraging OpenAPI as a Core Element of API and Application Security

An application’s attack surface is the sum of all the areas of an application which could be attacked by malicious attackers. This includes the application’s APIs, the underlying code, supporting infrastructure, and any other components which could be compromised. The goal for any organization is to reduce the attack surface area by discovering and minimizing potential vulnerabilities.