学習

コンテンツ配信ネットワーク (CDN) は、コンテンツ配信を高速化し、稼働時間と可用性を確保するために不可欠です。

リバースプロキシは、クライアント (あなたのユーザー) とオリジンサーバーの間に位置し、あなたに代わってリクエストを受信し応答するアプリケーションです。

有効期限 (TTL) とは、特定のオブジェクトが CDN のキャッシュに保持される時間のことです。

エッジ AI の詳細、メリット、さまざまな業界に対する影響をご紹介します。

エッジコンピューティングは、一元化されたインフラストラクチャ内で処理する代わりに、ネットワークのエッジやデータソース (またはその近く) で実行される演算処理のことを意味します。

キーバリューストアは、テーブルベースの構造ではなく、キーと値のペアの形式でデータを保存できる特殊な NOSQL データベースの一種です。コンピューターサイエンスでは「連想配列」または「ディクショナリ」とも呼ばれます。

Learn API security testing best practices, common API risks, how often to test APIs, and how to detect abuse, bots, and vulnerabilities across the API lifecycle.

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.

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

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

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

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

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

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.

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

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.

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.

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.