Securing the Future: Unveiling Risks and Safeguarding Strategies in Machine Learning-Powered Cybersecurity

Securing the Future: Unveiling Risks and Safeguarding Strategies in Machine Learning-Powered Cybersecurity

Copyright: © 2024 |Pages: 16
DOI: 10.4018/979-8-3693-2691-6.ch005
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

In the meticulously networked world of today, cybersecurity is a primary concern for firms operating in various industries. The cornerstone for protecting sensitive information and fending off cyber threats is administrative compliance. This chapter delves into the important area of risk assessment in cybersecurity, emphasizing administrative compliance as a primary concern. It promotes the use of a robust compliance administration system in order to effectively manage compliance complexity. Through the coordination of such a system, enterprises may competently investigate administrative situations, ready their cybersecurity defenses, and preserve the accuracy of their data. This strategy strengthens firms' overall resilience against evolving cyber threats while also addressing immediate compliance challenges.
Chapter Preview
Top

2. Literature Review

The financial elements of information security are highlighted in this issue advertising the necessity to understand the cost-benefit decisions (Anderson & Moore, 2006). Design techniques of the information systems the security is having a direct impact under the development procedures (Baskerville, 2018). The challenges peculiar to governmental entities are dealt with by customized public sector governance, which is what was designed for the public sector (Bojanc & Jerman-Blazic, 2010).

Complete Chapter List

Search this Book:
Reset