The female labour force participation rate (FLFPR) in India portrays the working women in a distorted manner in the economic market. The FLFPR, which is normally conducted by the proportion of women in the disposed employment state, fails to take into consideration women’s house and care work. Many women are engaged in marginal farming, or in farming at all are measured in common last figures as merchants, artisans, mostly in family run businesses, and millions are involved in home-based work in various capacities, yet most of these are invisible and unrecognized in the contributions to Gross Domestic Product.

Note also the point that the demographic characteristics of the society where the FLFPR is being conducted affects it too and particularly cultural Beliefs and practices. It is typical in numerous regions to pay inadequate attention to women’s employment and most cultures women practice are biased toward more emphasis on homemaking as opposed to employment. In addition to that, norms such as security risks, absence and inflexibility of work from home possibilities and the lack of child care facilities make it difficult for many women to hold a paid employment in the country.

In addition, the women that do get involved in the workforce face severe discrimination and are likely to be paid less and never have a good opportunity to be promoted thus forcing them to quit work. Thus, while the FLFPR provides the information about the women’s employment, the same does not paint the actual picture of the contribution of each woman towards the GDP of India. It is crucial to underline that expanding the vision of woman’s economic engagement means focusing on these aspects as well.

Information accessibility is a task which has to be achieved coupled with high level of protection of the information; this is one of the key issues in the digital context which cannot be sacrificed. Organizations can achieve this by adopting a few key practices:

1. User-Friendly Security Measures: It should be easy for the various users to notice as well as implement the various security measures put in place. This includes building on the ISO and MFA so as to increase the level of security while at the same time not making things more complicated than they need to be.

2. Regular Training and Awareness: Organize seminars with the employees concerning the threats of cyber criminal activity, and the proper conduct of the instruments in question. It is crucial for the workforce in the organization to have security awareness should the organization not wish to be attacked.

3. Adaptive Security Policies: Design security policies which can be useful and which can allow for modifications such as those that may be needed regarding the question of access. This implies permissions on the basis of organizational roles and the ability of the employees to make use of only that information which is essential for organizational tasks cum responsibilities.

4. Utilizing Advanced Technologies: Utilize such technologies as artificial intelligence and the machine learning to constantly monitor and detect the threats in the real time. There are tools that can enhance the security of a project but they do not have to reduce the convenience level equally.

5. Continuous Monitoring and Improvement: Like most dangers that may befall a facility and employees, security should not be static; it’s best that it is reviewed from time to time and altered if needs be. This ensures the constant improvement of the security as well as the accessibility of the given systems.

The combination of these practices enables an organization to protect the organizational assets that are in the digital realm but ensuring that the assets are availed to every user who is authorized.

Current technologies in the field of information technologies and cybersecurity are the best guarantee for the protection of the digital space. Here are a few key ones to keep an eye on:

• Zero Trust Security: This approach assumes that threats could be located anywhere in the organization including the internal network and the external network. It especially pays a lot of attention to electronic identification and authentication of each request, no matter the origin, to the desired high level of security.
• AI and Machine Learning: They are being applied in identify threats, and dealing with them in a better manner. This means that AI can help organizations by using big data to search for the signs that a more extensive security breach might be in the pipeline and respond namely to these.
• Cloud Security: Considering that data is moving more towards the cloud, this particular type of data needs protection. This option entails data storage security, data access control, and compliance with the stipulated legal requirements.
• IoT Security: More IoT connected devices are being developed from home appliances to business sensors; security becomes inevitable. They are most of the time designed without secure access control measure; as such, the can easily be breached.

Hence, it is crucial to constantly learn the different emerging trends that characterize sufficient IT and cyber security in today’s technological environment.