网络安全 (Cybersecurity)

An audio version of this Medium article is available on Spotify and Apple Podcasts.

可以在 Spotify 上获得此中篇文章的音频版本 和 苹果播客 。

Your images are being stolen, monetized and used in AI systems to track and monitor your every movement including over 2,200 companies such as the FBI, NBA, Macy’s and Walmart.

Ÿ我们的图像被偷走，货币化了，AI系统用于跟踪和监视你的一举一动，包括超过2,200个公司 ，如联邦调查局 ，NBA， 梅西百货和沃尔玛 。

All by a little unknown company called Clearview AI.

全部由一家名为Clearview AI的不知名的公司提供。

Until recently when Apple, Google, Facebook, and other companies pulled the plug on their API data access.

直到最近， Apple ， Google ， Facebook和其他公司才取消了他们的API数据访问权限。

As I wrote earlier this month, your Identity and data are at risk, and it seems that no amount of Federal fines and penalties are going to change company behaviors.

正如我在本月初所写的那样，您的身份和数据正处于危险之中 ，似乎没有多少联邦罚款和罚款会改变公司的行为。

In a world where every day is a Data Leak day, the network engineer career has seen one of the fastest-growing revivals in Corporate history. From SOC analysts to network engineers, risk analysts, and cybersecurity analysts, everyone is hiring developers, researchers, and strategists on data privacy and data security.

在每天都是数据泄漏日的世界中，网络工程师的职业经历了企业历史上增长最快的复兴之一。 从SOC分析师到网络工程师，风险分析师和网络安全分析师，每个人都在聘请开发人员，研究人员和策略师来保护数据隐私和数据安全。

This is not a trend — it is a new reality of tech.

这不是趋势，而是技术的新现实。

Cyber NYC¹ has launched in NYC in late 2019 where companies such as Palantir, Goldman Sachs, and Facebook even hire graduates of cybersecurity bootcamps² before they graduate their programs.

Cyber​​NYC¹已于2019年底在纽约启动，在那里， Palantir ， Goldman Sachs和Facebook等公司甚至在其课程毕业之前 雇用了网络安全训练营的毕业生²。

With an estimated 4 billion data files breached in 2019³, all businesses must invest in data security strategy.

在2019³年，据估计有40亿个数据文件被泄露，所有企业都必须对数据安全策略进行投资。

Each breach costs on average $4M⁴.

每次违反平均要花费$ 4M⁴。

The cybersecurity industry will grow 2.5X by 2024 to over $300 billion annually⁵.

到2024年 ，网络安全行业将增长2.5倍，每年超过3,000亿美元 ⁵。

At this rate, we can safely assume that corporate organizations realize that data security is critical to their operations by helping them become competitive.

以这种速度，我们可以放心地假设公司组织通过帮助他们提高竞争力来意识到数据安全对他们的运营至关重要。

What are the potential risks not to invest in cybersecurity for IoT and AI-enabled devices?

不投资物联网和支持AI的设备的网络安全有哪些潜在风险？

How can security tools be developed to effectively protect companies from cyber-attacks?

如何开发安全工具来有效保护公司免受网络攻击？

What I know for sure is that 2020 is turning to be a big year for cybersecurity.⁶

我可以确定的是，2020年将成为网络安全的重要一年。

云端安全 (Cloud Security)

Cloud security promises to safeguard enterprises from ransom and malware attacks. Large cloud-based operators such as Salesforce and Dropbox have facilitated security with new data standards including multi-factor authentication to minimize data leakage.

ç响亮的安全承诺，在维护赎金和恶意软件攻击的企业。 大型的基于云的运营商(例如Salesforce和Dropbox)通过包括多因素身份验证在内的新数据标准来促进安全性，以最大程度地减少数据泄漏。

A cloud strategy can reduce operational costs, boost overall performance and detect malware threats faster while facilitating economies of scale. As companies evolve, the industry will keep growing in the 2020s.

云战略可以降低运营成本，提高整体性能并更快地检测恶意软件威胁，同时促进规模经济。 随着公司的发展，该行业将在2020年代保持增长。

数据加密工具和升级 (Data Encryption Tools and Upgrades)

Enterprises understand the importance of data encryption in their information systems.

Ënterprises了解其信息系统的数据加密的重要性。

To ignore data encryption is similar to inviting hackers into your sandcastle and watching them destroy it in front of your eyes.

忽略数据加密类似于邀请黑客进入您的沙堡，然后看着他们在您眼前摧毁它。

Unicorn start-up Canva experienced one such data leakage that compromised over 140 million user accounts.⁷

独角兽初创公司Canva经历了一次这样的数据泄露，导致超过1.4亿用户帐户受到损害。

Data threats exist everywhere.

数据威胁无处不在 。

And without a team of engineers, companies essentially are left open to the outside world.

由于没有工程师团队，公司基本上对外界保持开放。

AI can help — as malware can be predicted with attributes from cybersecurity texts⁸.

人工智能可以提供帮助-恶意软件可以利用网络安全文本中的属性来预测predicted。

However, enabling encryption is the most powerful action that both consumers and Enterprises can do today.

但是， 启用加密是当今消费者和企业都可以执行的最强大的操作 。

无密码认证 (Authentication without Password)

Passwords are a liability in 2020 as hackers use sophisticated tools to crack passwords and sell them on the black market.

由于黑客使用复杂的工具来破解密码并将其在黑市上出售，因此2020年， P密码是一种责任。

Fortunately, biometric tools and hardware tokens are becoming commonplace everywhere from airports to office buildings.

幸运的是，从机场到办公楼，生物识别工具和硬件令牌已变得司空见惯。

Even master password apps such as LastPass, 1Password and DashLane help users authenticate accounts securely.

甚至诸如LastPass ， 1Password和DashLane之类的主密码应用程序也可以帮助用户安全地验证帐户。

Over 90% of Enterprises are expected to adopt universal authentication procedures with no passwords by 2022.⁹

到2022年，预计超过90％的企业将采用不使用密码的通用身份验证程序。

Passwords represent the largest attack point during malware invasion. It is essential to adopt authentication methods to protect our personally identifiable information.

密码代表恶意软件入侵期间最大的攻击点。 必须采取身份验证方法来保护我们的个人身份信息。

预测分析和物联网风险管理 (Predictive Analytics and IoT Risk Management)

Businesses use analytics to sift through data and discover insights from data patterns.

乙 usinesses使用分析，通过数据进行筛选，发现从数据模式的见解。

With advanced analytics, a business can detect a hacking incident within the shortest time possible by connecting patterns within a data set followed by perceiving and understanding changes within information systems.

借助高级分析，企业可以通过连接数据集内的模式，然后感知并理解信息系统内的变化，在最短的时间内检测到黑客事件。

Cybersecurity + Machine Learning could identify hotspot areas for cyber attacks before hacks takedown systems.

网络安全+机器学习可以在黑客入侵系统之前确定网络攻击的热点区域。

The Minority Report is now real.

少数群体报告现在是真实的。

Powered by Big Data, statistical models enhance data security by predicting and identifying malware threats.

在大数据的支持下，统计模型通过预测和识别恶意软件威胁来增强数据安全性。

5G technology will herald a new chapter in tech advancements, and 5G will create more problems because of massive data that could be attacked.

5G技术将掀起技术进步的新篇章，而5G由于可能遭到攻击的海量数据而将引发更多问题。

Organizations will need to adopt new technologies to counter cyber threats.

组织将需要采用新技术来应对网络威胁。

New risk policies can help address and mitigate tomorrow’s problems in real-time.

新的风险政策可以帮助实时解决和缓解未来的问题。

不断发展的网络安全格局和专业知识 (Evolving Cybersecurity Landscape and Expertise)

There is an urgent need for skilled individuals in cybersecurity as demand increases because of hacking incidents.

Ť这里是网络安全的，因为黑客入侵事件的需求增加技能人才的迫切需要。

Massive losses of data have cost companies billions, and new policies such as cybersecurity training and improved encryption controls will better secure systems.

数据的大量损失使公司损失了数十亿美元，而诸如网络安全培训和改进的加密控制之类的新政策将更好地保护系统。

With over 30% growth in demand for cybersecurity jobs by 2030¹¹, cyber professionals will be pivotal to manage and to predict cybersecurity threats.

到2030年 ， 对网络安全工作的需求将增长30％以上 ，网络专业人员将是管理和预测网络安全威胁的关键。

Hiring skilled professionals in cybersecurity and #DataScience is the first step towards getting hacking and malware attacks under control — leading to real Digital Transformation and business results.

聘请网络安全和#DataScience方面的专业人士是控制黑客和恶意软件攻击的第一步-带来真正的数字化转型和业务成果。

What are your thoughts on the cybersecurity industry? Share your comments below to contribute to the discussion.

您对网络安全行业有何看法？ 在下面分享您的评论，以促进讨论。

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参考文献 (Works Cited)

¹Fullstack Cyber Bootcamp, ²Cyber NYC, ³Norton 2019 Data Breaches, ⁴Cybersecurity Survey, ⁵Cyber Industry Growth, ⁶2020 Cyber Trends, ⁷Canva Data Hack, ⁸Predict Malware, ⁹IHS Markit — Cyber Trends,¹⁰5G Opportunities, ¹¹ Cybersecurity Job Growth

¹ Fullstack网络训练营 ，² 网络NYC ，³ 诺顿2019数据泄露 ，⁴ 网络安全调查 ，⁵ 数码行业增长 ，⁶ 2020网络趋势 ，⁷ Canva数据哈克 ，⁸ 预测恶意软件 ，⁹ IHS麦盖提-网络发展趋势 ，¹⁰ 5G机会 ，¹¹ 网络安全工作增长

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