What personal data we collect and why we collect it
Comments
When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.
An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.
Media
If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.
Contact forms
Cookies
If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.
If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.
When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select “Remember Me”, your login will persist for two weeks. If you log out of your account, the login cookies will be removed.
If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.
Embedded content from other websites
Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.
These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.
Analytics
Who we share your data with
How long we retain your data
If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.
For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.
What rights you have over your data
If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.
Where we send your data
Visitor comments may be checked through an automated spam detection service.
Your contact information
Additional information
How we protect your data
What data breach procedures we have in place
What third parties we receive data from
What automated decision making and/or profiling we do with user data
AI 驅動與雲端交付的網路安全平台領導廠商 Check Point Software Technologies Ltd旗下威脅情報部門 Check Point Research 報告指出,今年前三季全球平均每週網路攻擊次數為 1876 次,相較去年同期增加 75%,台灣以每週 4129 次的平均攻擊次數位居亞太地區榜首,並發佈2025年網路安全趨勢預測。
Check Point表示,愈來愈多的網路犯罪分子將瞄準社群媒體平台,利用個人資訊實施精準詐騙和身份冒充;資訊安全監控中心將利用 AI 助手處理大量資料並對威脅進行優先順序劃分,進而縮短回應時間;資訊長和資安長的角色將逐步整合,轉向全面風險管理;組織將遷移至整合式雲端安全平台,採用雲端原生安全平台等工具來監控並保護多雲環境。
Check Point技術長Dorit Dor指出,2025 AI 將同時助長網路攻擊與強化安全防護—安全團隊將依賴為其獨特環境量身打造的 AI 驅動工具,攻擊者則會以日益複雜的AI驅動網路釣魚和深度偽造攻擊予以回應。攻擊者將利用被忽視的漏洞、服務帳戶和機器對機器存取金鑰在網路內橫向移動,進一步增加防禦難度。隨著網路衝突逐漸擴展到社交平台,各組織必須更主動地採取預防措施,以確保其維運不受新興威脅影響。