The Human Factor in Cybersecurity

To avoid cyber security risks or at least reduce the significant impact on an organization, investing is cybersecurity training and awareness programs is important. Companies which implement these programs and cybersecurity awareness training has reduced up 78% of the risk being attacked or hacked.
Prioritize Training and Awareness:
I will allocate around 60% of the budget in cybersecurity training and awareness programs as a chief information security officer. These programs will include cybersecurity awareness training, social engineering, phishing simulations, awareness campaigns and other training programs. To target these programs the organizations like employees, vendors, assets, information and partners.
Invest in Technology Wisely:
For additional mitigation of risks of cybersecurity, it is important to invest in technology and align it with the needs of the organization and their risk profiles. So, I would allocate 40% of the budget to technology of cybersecurity that will address the significant risk of the organization. The measures will include investing in prevention of system data loss or solution to the problem and also in endpoint protection.
Seek Cost-Effective Solutions:
Budget is constraints so I will try to find cost-effective solutions to investment for the best value. For this purpose, I will consider third-party outsourcing platform who can handle the more technical aspects of the cybersecurity and protect the organizations objectives and goals.
Monitor and Evaluate:
To make these changes effective regular monitoring and evaluating the organization’s cybersecurity measures. The evaluation is important to check the implemented cybersecurity measures. To adjust the balance between training and technology is important. The key indicators should check the performance, analyze the incident reports and
The organization will be able to identify threats more quickly and effectively if these technologies can give a more proactive and automated approach to cybersecurity. For instance, machine learning algorithms can examine network traffic patterns to find odd activity that might be a sign of a cyberattack. To identify insider threats or account compromise, behavioral analytics can track user activity.

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