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in keeping business data safe. However, it can’t be fully relied upon, and some responsibility should still lay with the user. But innovations such as AI, ML and Treat Intelligence can improve existing processes and provide additional layers of security. Machine Learning is a subset of Artificial Intelligence, and is
focused on training machines to learn from past and present data to identify threats, where they originate and where they’re likely to strike, instead of relying solely on vendor programming. In particular, ML is useful for recognising patterns and detecting threats based on their behaviour by comparing it to previous examples of threats – over time learning what is both good and bad. A specific application of this is to identify never-before-
seen, zero-day, or ever-changing polymorphic threats, helping organisations keep up with the evolving and dangerous threat landscape. A behavioural detection engine powered by Machine Learning can examine a threat’s behaviour and determine if it is malicious or not based on what it has seen before. While traditional scanning and email protection tools can
help secure emails from many threats and establish a baseline for protection, today’s sophisticated attacks require a far more rigorous defence. AI and ML technologies are also key components in email and endpoint security services, for example, email security attachment and URL sandboxing solutions, where an email attachment or link is opened and tested via Artificial Intelligence in an isolated environment away from a customer’s network. Such services, including VIPRE’s Email Link Isolation, help increase email security by neutralising possible attacks in email URLs by rescanning and sandboxing links once clicked on, protecting business’ vital communication tool – email. But the solution to a truly secure environment shouldn’t stop
there. Te user should be educated on the spot – once they have made a mistake. Simply stopping the threat isn’t enough. Instead, businesses need to retrain their users, ideally at the point of error.
A Collaborative Approach As important as both human and technological layers are to an organisation’s cybersecurity approach, businesses can’t rely on just one. Instead, technology and the workforce work better collaboratively. For example, Artificial Intelligence may provide computers with human capabilities, but humans can still perform intricate decision-making and complex tasks better than some technologies can. An example of this is VIPRE’s SafeSend tool that prompts the user to check their recipient and attachment list when sending an email. In this situation, the human is oſten the best person to decide if that specific
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file should go to that particular recipient, rather than relying on AI intervention – which can struggle to interpret this type of nuanced decision-making. Additionally, innovative tools shouldn’t be implemented
without educating users and embedding a cyber security-aware culture throughout the workforce. Machine learning has to work in tandem with other processes, including antivirus, firewalls, intrusion detection, application allow-listing and email filters, to deliver the best protection. And with human intervention, these technologies can reach their full potential. For example, in order to make Machine Learning successful, the algorithms need lots of data from a variety of sources to provide accurate, actionable results – which requires human expertise and analysis to feed the right types of data to the models. Tis combination is crucial to ensure the right digital solutions are in place – as well as increasing workforces’ understanding of the critical role they play in keeping the organisation safe. No single layer delivers all the results organisations need to
stay secure, hence the need for multiple layers of detection. Te best systems are built around a partnership between humans and machines, where businesses let technologies such as AI and ML work on the functions that we as humans may find hard or time consuming, while also utilising the strengths of the workforce on the front line of defence. Organisations need to ensure that they have both the next
generation human and technology protection in place. A cyber- aware culture with continuous training is essential, and so is having access to the right technology to ensure maximum protection. By taking a layered approach to cybersecurity, businesses can develop a holistic view of their defence strategy, accounting for the multitude of vectors by which modern malware and threats are delivered.
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