1. Human-AI collaboration in cybersecurity risk management
Artificial intelligence is enabling increased proactivity in averting threats and responding to real-time attacks by analysing patterns, preventing repeated attacks, and adapting to changing behaviour.
It also saves organisations time and money by reducing the amount of time and resources they spend dealing with these risks.
Organizations must be mindful, however, that it will not be the panacea for a cyber world free of threats. AI solutions can supplement analyst output, but they won’t be able to completely replace it.
As cyberthreats become more sophisticated, human intelligence, critical and creative thinking, and teamwork will be required to detect new forms of attacks and respond to more complicated crises.
We expect to see a stronger emphasis on human-AI collaboration in 2022 and beyond, where human analysts connect and correlate data from AI output, expedite processes, and provide actionable insights to improve their cybersecurity posture.
2. Data management becomes a differentiation in the marketplace
Organizations will begin to regard data management as a strategic role and source of competitive advantage, rather than just a cornerstone for organisational cybersecurity defence. According to a PwC study, nearly 90% of consumers (87%) would transfer their business elsewhere if they didn’t trust a company to handle their data appropriately.
In light of this, businesses will need to prioritise data governance policies and practices for data management, as well as express their commitment to protecting customer data. They will be able to increase brand trust and loyalty, as well as open up new commercial prospects, as a result of this.
Furthermore, well-established data protection procedures will prevent the theft of important Intellectual Property (IP), allowing businesses to maintain their competitive advantage and stay ahead of the competition.
3. Internet of Behaviour as a form of cybersecurity
The Internet of Behaviour (IoB) seeks to synthesis data from users’ online activities from a behaviour perspective, similar to the Internet of Things (IoT), which allows organisations to acquire and analyse data from billions of linked devices.
While IoB has been widely employed in the retail business to tailor go-to-market plans for e-commerce players, we see a strong use case for IoB in the cybersecurity space.
Security teams can detect unauthorised activity by hackers using behavioural data given through IoB, allowing them to trigger security mechanisms at the earliest point of access.
Organizations will be able to detect non-conformal use or suspicious behaviours in an account by recording more dynamic components of a user’s digital identity, such as typing rhythm, mouse movement, geolocation, type of device used, the regular pages and links the user accesses and walking speed.
Follow and connect with us on Facebook, LinkedIn & Twitter
