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5 cybersecurity trends for 2019

​From a focus on the cloud and edge computing, to the rise and rise of AI-driven security solutions, 2019 is set to be a big year for cybersecurity. 

Steffen Sorrell, Principal Analyst at digital technology research specialists Juniper Research, walks us through what he sees as being the five biggest trends in cybersecurity for the year ahead.

First published on February 12, 2019

1 Demand for cloud security solutions will increase

While the shift of enterprise workloads toward the cloud has been an ongoing trend for some years, security by design principles have not necessarily followed suit. Indeed, improperly configured AWS (Amazon Web Services) buckets that allow data leakage, as well as poor API security, have become key issues concerning cloud security

The emergence of biometrics-as-a-service will lead to the cloud becoming an increasingly attractive target for cybercriminals as theft of biometric information (behavioral or identity) will be tremendously valuable. In turn, this will shift the emphasis on to greater investment in cloud security in order to prevent this kind of cybercriminal activity.

2 Resource constraints will increase demand for AI-driven security

The continued rise in IoT (Internet of Things) devices and connected assets within businesses has meant that the amount of data fed into SIEM (Security Information and Event Management) systems is increasing exponentially. This puts tremendous pressure on security analysts within the business. In addition to this, SMEs (small to medium-sized enterprises) in particular are vulnerable owing to the fact that they are often not in a position to dedicate the proper resources to security analytics.

In turn, this will mean that the use of artificial intelligence (AI) will become critical to the cyber defense strategy of businesses across the globe, acting as a tool to identify potential security events for further analysis.

Discover more about how to safely connect your business to the IoT.

3 AI becomes a weapon in cybercriminals' armory

Just as AI is being deployed as a defensive mechanism to detect anomalous activity or malware, it is inevitable that cybercriminals will weaponize the same tools for their own gains. This may be in the shape of identity impersonation (Deepfakes have already hinted of this; equally, AI can be used as a tool in social engineering attacks), or using AI to identify weaknesses in devices, networks and systems before engaging in more targeted activities.

4 Fileless malware requires more robust defenses

As fileless malware is often difficult, if not impossible, for traditional anti-malware tools to detect, it is inevitable that cybercriminals will increase their efforts to exploit networks in the form of fileless malware. In turn, this will drive organizations to emphasize the need for multi-layered security solutions in order to protect devices, networks, applications and the cloud. 

Additionally, as many fileless malware attacks involve code injection to interfere with normal system processes, the use of code and firmware signing will increase in importance as a mechanism to mitigate such approaches.

5 The rise of edge computing will drive demand for secure identity

Edge computing will undoubtedly form a key part of the IoT moving forward, owing to, among other things, its distributed architecture and ability to enable real-time applications. Nevertheless, edge computing within the context of the IoT will inevitably lead to potentially sensitive data being processed by edge computing devices. 

Maintaining a secure identity for these devices will become a critical part of ensuring network trust which, in turn, will lead to an increase in secure hardware solutions for device cryptographic processing and data storage.

TAGGED IN security; cybersecurity; biometrics; cloud