What is Cyber-security?
“Increasingly we are relying on the internet for our day to day lives, things like our cars are becoming connected, and even fridges are becoming connected, so we are connecting together and connecting to the internet all the time. However, we need to protect all the information we put on there and how we operate on-line” Helen L, National Cyber-security Centre, GCHQ
Cyber-security refers to the technologies, processes, and practices designed to protect networks, devices, programs, and data from attack, damage, or unauthorized access. Attacks can be at an individual personal level or right up to National State level. They are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes. Cyber-security is important because government, military, corporate, financial, and medical organizations collect, process, and store unprecedented amounts of sensitive data on computers and other devices.
Cyber-security is a fast growing career field with an estimated 1 million unfilled cyber-security jobs worldwide. Women only make up 11% of the current cyber-security workforce, according to the 2017 Global Information Security Workforce Study.
With the significant rise of daily cyber threats and attacks, this is a significant opportunity for women to enter the field given the severe labor shortages and under-representation of women. Cyber-security is no longer just a technology issue, it is a business one too. Women are welcome from different career sectors and diverse backgrounds.
According to the Women’s Society of Cyberjutsu (WSC), quoted in Forbes,
“50% of professional occupations in the U.S. are held by women, and …… 25% of computing occupations in the U.S. are held by women. That leaves tremendous headroom for women to enter the fast-growing cyber-security market, which is expected to grow from $75 billion in 2015 to $170 billion by 2020."
Job roles in cyber-security:
- Security Analyst
- Security Architect
- Security Engineer
- Security Administrator
- Security Consultant
- Chief Information Security Officer
More at the following two links: https://www.learnhowtobecome.org/computer-careers/cyber-security/
Common types of cyber-security threats:
Ransomware - a type of malicious software designed to extort money by blocking access to files or a computer system until the ransom is paid.
Malware - a type of software designed to gain unauthorized access or to cause damage to a computer system.
Social engineering - a tactic that is used to trick users into revealing sensitive information. They can solicit a monetary payment or gain access to your confidential data. Social engineering can be combined with any of the threats listed above to make you more likely to click on links, download malware, or trust a malicious source.
Phishing – attackers send fraudulent emails or text or copycat websites from reputable sources. The aim is to steal valuable personal information like credit card numbers, social security numbers, account numbers and login IDs and passwords. It’s the most common type of cyber-attack.
 Forbes link
Masters in Data Science have issued a guide for women in STEM fields, with practical advice on why women and girls should pursue STEM careers, closing the gender gap, and some useful resources: see here
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July 29, 2020
Job market data from the second quarter suggests there are increasing opportunities for women and minorities in the world of remote work, but long-standing biases may provide resistance.
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March 5, 2020
Women are emerging as cybersecurity experts, with a much larger influx of women entering the field expected. And, women are ascending into senior or leadership positions within their companies, often through different pathways, according to results of the Women in Cybersecurity Survey to be presented by SANS Institute in two webcasts on March 17 and March 24.
Biased AI Is Another Sign We Need to Solve the Cybersecurity Diversity Problem
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Artificial intelligence (AI) excels at finding patterns like unusual human behavior or abnormal incidents. It can also reflect human flaws and inconsistencies, including 180 known types of bias. Biased AI is everywhere, and like humans, it can discriminate against gender, race, age, disability and ideology.