Learning

Learn more about the technology behind the Internet.

Content delivery

A content delivery network (CDN) is a collection of servers in locations worldwide. A CDN can refer to many types of content delivery services, such as load balancing and video streaming.

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  • Top CDN Security Risks to Consider

    Content Delivery Networks (CDNs) are essential for speeding up content delivery and ensuring uptime and availability.

  • What is a reverse proxy?

    A reverse proxy is an application that sits between the client (your users) and your origin servers and receives and responds to requests on your behalf.

  • What is time to live (TTL)?

    Time to live (TTL) is the amount of time a specific object will remain in a CDN’s cache.

Serverless computing

Serverless computing enables developers to write and deploy code without the burden of server management. Discover why developers are choosing serverless architecture.

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  • What is edge AI?

    Learn more about Edge AI, discover its benefits, and see its impact across industries.

  • What is edge to cloud computing?

    Edge computing is computational processing at the edge of the network, at or near the source of the data, instead of processing within a centralized infrastructure.

  • What are KV stores and why do they matter?

    Key-value stores are a type of specialized NOSQL database that allow you to store data in the form of key-value pairs instead of in a table-based structure. It is also referred to in computer science as an “associative array” or “dictionary”.

Web application and API security

Learn how to secure your website, apps, and APIs from constantly evolving cyber-attacks with web application security.

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  • WAF as a Service

    Learn what WAF as a Service is, how WAFaaS works, key features, benefits, and how cloud-delivered WAFs protect web apps and APIs at scale.

  • What Is Cloud WAF?

    Learn what a cloud WAF is, how it protects web apps and APIs, how it differs from traditional WAFs, and which capabilities and providers matter most

  • The different types of DDoS Attacks

    Learn how DDoS attacks work, their types across OSI layers, and how to detect, mitigate, and prevent them with modern security and DDoS protection tools

Bots

A bot is an automated software application that performs repetitive tasks over a network. While some bots can be helpful (like a search engine crawler), others attack websites and apps.

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  • What are AI fetchers?

    Learn what AI fetchers are, how they differ from crawlers, what content they retrieve, and the security risks and controls website owners should understand

  • What are AI Crawlers?

    Learn what AI crawlers do, how they work, how they collect data, and what you can do to detect, control, or block them.

  • What are Headless Bots

    Learn what headless bots are, how they mimic real users, why they pose serious security and business risks, and how modern bot management detects and blocks them

Application attacks and vulnerabilities

Web application attacks are malicious activities that target vulnerabilities in design and implementation, that may lead to unauthorized access and data theft.

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  • What is Vulnerability Scanning?

    Learn what vulnerability scanning is, why it matters, how it works, and best practices for reducing risk across networks, applications, APIs, cloud, and hosts

  • What is a brute force attack?

    A brute force attack is a cyberattack where a hacker uses software to systematically test different password combinations to gain access to an account without authorization.

  • What are credential stuffing attacks?

    Credential stuffing is a type of cyberattack where stolen usernames and passwords are used to gain unauthorized access to multiple websites.

Artificial Intelligence

Artificial Intelligence (AI) is the simulation of human intelligence processes by computer systems. This includes performing tasks such as learning, reasoning, problem-solving, understanding natural language, and perception.

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  • What is machine learning and what does it mean for your business?

    In machine learning (ML), AI systems are trained on vast amounts of data to develop statistical models and algorithms. “Learning” is the algorithm’s ability to adjust its models based on new data, becoming more accurate and efficient over time.

  • What is artificial intelligence?

    Artificial Intelligence (AI) is the simulation of human intelligence processes by computer systems. This includes performing tasks such as learning, reasoning, problem-solving, understanding natural language, and perception.

  • What Are Large Language Models? (LLM's)

    An LLM (Large language model) is a sophisticated AI language model system designed to comprehend and produce human-like text by analyzing enormous amounts of language data.

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