Data centres & AI: Partnering For success

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Data centres & AI: Partnering For success

Traditional data centres weren’t built for the growth in cloud, demand for interconnectivity, or the proliferation of new technologies.

These innovations are why data centre infrastructure is evolving – and why data centre security must also evolve.

Changing nature of security threats

All over the world, cyber security attacks are increasing in volume, variety and velocity. Cisco’s 2017 Annual Cyber Security Report found ransomware is growing at a yearly rate of 350%, while memories of WannaCry are still fresh, following its infection of 200,000+ machines across 150 countries. The fact this took just 72 hours to go global shows the unprecedented scale of the challenge facing companies.

No wonder, then, that demand for cyber security professionals is so high. The skills shortage is such that Forrester believes firms are just not prepared to handle cybersecurity-induced disasters.

Firms may not be ready, but the data centre industry is.

Years ago, common methods of security involved detecting suspicious behaviour and then taking action. For example, too many incorrect password attempts would result in an account being locked. These forms of protection may have been enough for unsophisticated attackers, but nowadays something more is needed.

Artificial intelligence is being in numerous ways to secure data, infrastructure, and other digital assets. From spotting new forms of malware, locating unusual network activity, through to flagging up suspicious user behaviour. AI data centres use cases even include monitoring changes in temperature within the data centre.

These advantages help explain why 99% of security professionals told a Wakefield Research survey they believe AI could improve organisations’ cyber security.

Embedding digital centre-level security

It’s not just new forms of technology which are impacting data centres. It’s also about the wider redefinition of the data centre’s role in modern Industry 4.0-driven economies. As companies partner to deliver more services, the demand for colocation, interconnection and cloud increases, making the data centre a central part of companies’ ecosystems.

The well-documented explosion in data volumes is something that requires AI and machine learning for harnessing the insights within. However, as the world enters the zettabyte era, this data is also leading to new forms of digital products, services and assets. Again, these require AI and machine learning to ensure protection.

Cat and mouse

These are the sorts of threats that AI is perfect for launching – and protecting against. The data centre industry is then faced with a race against time – ensuring defensive AI responds as fast as offensive AI.

Take a look at the future of data centres below…

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