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Enterprise Security: Modern Challenges and Emerging Measures

Enterprise Security: Modern Challenges and Emerging Measures

Manish Shukla (TCS Research, Tata Consultancy Services, India), Harshal Tupsamudre (TCS Research, Tata Consultancy Services, India), and Sachin Lodha (TCS Research, Tata Consultancy Services, India)
Copyright: © 2022 |Pages: 30
DOI: 10.4018/978-1-6684-3698-1.ch021
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Abstract

As we increasingly depend on technology, cyber threats and vulnerabilities are creating trust issues for businesses and enterprises, and cybersecurity is being considered as the number one threat to the global economy over the next 5-10 years. In this chapter, the authors explain this phenomenon by first describing the changing cyber ecosystem due to extreme digitalization and then its ramifications that are plainly visible in the latest trends in cyber-attacks. In the process, they arrive at five key implications that any modern enterprise needs to be cognizant of and discuss eight emerging measures that may help address consequences of those implications substantially. It is hoped that these measures will play a critical role in making enterprise security more proactive, cognitive, automated, connected, invisible, and risk aware.
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Changing Cyber Ecosystem

To better understand the explosion of cyber-attacks, we have to look at the changes in the cyber ecosystem due to digitalization and hyper interconnectivity.

  • 1.

    Increase in Attack Surface: Traditionally, attack surface of a system is defined as the exposure of an application, its interfaces and objects to an attacker (Heumann, Keller, & Turpe, 2010). However, from an enterprise perspective, a system consists of a combination of hardware and software assets and the humans using them.

It has been demonstrated multiple times that even if the software is bug free, yet it is possible to steal personal and sensitive data by exploiting hardware vulnerabilities (Lipp et al., 2018; Kocher et al., 2018). In a recent paper, researchers have shown systematic degradation in deep-neural-networks (DNN) under bitwise errors that are induced by hardware fault attacks (S. Hong, Frigo, Kaya, Giuffrida, & Dumitras, 2019). According to (Ornes, 2016), only 5 million IoT devices went online in 2016 and it is estimated that 20-50 billion devices will be online by 2020. Thus, the hardware part of attack surface is growing at a rapid pace, and, that too, without security bedded into it.

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