Norton Security estimates that by 2023 nearly 33 billion records per year will be stolen by cybercriminals, highlighting the growing threat of cyber attacks. So, how do businesses and communities protect themselves?
In response to these evolving cyber-attacks, cyber security has continued to develop responses that can protect you.
Here are five 2019 cyber security trends that you need to know.
1. Smarter use of machine learning (ML) and artificial intelligence (AI) modelling
ML’s multiple capabilities are not only now used to procure business insights in terms of ROI or KPIs, but they can also be used for more effective cyber security protocols.
For example, a regression (prediction) model such as a recurrent neural network can be used for fraud detection. It does so by analysing irregular transactions and locations to discover patterns of concern. Classification modelling can also be used for cyber security; this is commonly seen in spam filtering that separates harmful and non-harmful email content.
2. Tighter cloud security in the modern workplace
A Cloud Vision 2020 survey conducted by LogicMonitor predicts that 83 per cent of enterprise workload will be on the cloud by 2020, with 41 per cent on public cloud platforms. By staying up-to-date with this cloud migration trend, cyber security protocols being adapted for the variety of cloud platforms in use.
ML also has a function to play here, enhancing cyber security in the cloud through automation and alert features, which can give businesses a better understanding of data logs. With remote working environments predicted to equal if not surpass fixed office employment by 2025, businesses need to have more unified security protocols for those working in the office and remotely.
3. The integration of unsecured endpoints
The Internet of Things (IoT) has allowed for a wide variety of ‘smart’ devices to become available for exciting uses. However, this has also increased the number of unsecured endpoints that lack significant security.
With 23 billion IoT endpoints today (and that number is expected to triple by 2025), hackers are able to use DDoS (distributed denial of service) attacks to devastating effects. By using the IoT endpoints, hackers can bombard websites with large amounts of traffic requests, which causes the sites to crash.
In response to this, AI and ML are contributing to intelligent security systems and risk-based authentication (RBA) software. RBA analyses multiple factors to determine whether users should or shouldn’t be accessing specific information, limiting their exposure to DDoS attacks.
4. Responses to the GDPR
The General Data Protection Regulation (GDPR) – implemented by the European Union in May 2018 – has had major ramifications on the regulation of personal data. This means that businesses are needing to implement multiple international regulations to satisfy customers that their personally identifiable information (PII) is safe, along with the other streams of business data.
Rather than being seen as a threat, the GDPR can be used as a guide to help define your cyber security practices and better protect your data.
5. Application of biometric security
Facial and fingerprint recognition is becoming more accessible and commonplace, with reports from Gartner expecting 40 per cent of global midsize and larger organisations using biometric solutions to fulfil most needs by 2022.
According to MarketsAndMarkets, the biometric security market is currently valued at approximately $16.8 million, which is expected to increase to $41.8 billion by 2023. With this growth expected, biometrics are set to be a trend not only in 2019 but beyond.
How can you learn more?
These trends only scratch the surface of what cyber security improvements can be made. Become an innovator in this truly exciting and innovative field of study with a Master of Cyber Security at Edith Cowan University online. By studying this two-year part-time course online, you can balance your current work with a pathway to professional leadership in the cyber security field.