As innovation continues to grow and evolve, so do the possible risks to your network. Anticipating these risks and adopting a preventative strategy is key to protecting your network’s infrastructure. The question is, which investments are really worth it for your cybersecurity strategy? What risks are the most prevalent in your current cybersecurity outlook?
We’re going to highlight the top three risks to be aware of in 2023, as outlined and aggregated by industry leaders such as Deloitte, the IDC and Forbes.
Data compromisation
As the virtual world continues to expand by the day, so does the risk of your data being stolen or otherwise abused by companies, vendors and exterior third parties. Adopting a preventative strategy around data security will protect not only those in your native network, but also your organization’s overall brand perception and trust – especially if you’re transparent about your strategies.
We’ve listed this first on our list of possible compromisation areas, as Mulesoft has found that over 72% of an organization’s customer relationships and engagements are done digitally. This means that there are near-endless strings of sensitive user data that are at risk at any given time, requiring a custom and comprehensive security approach that mitigates your risk without slowing or limiting your network reach.
Supply chain limitations
The exterior global supply chain isn’t the only area of management that’s been disrupted by global events! Deloitte has found that there is intense interdependence and a strong dichotomy between the actual components of the smart devices, and the ability to run businesses and services. This means that if there is a failure in one area, there is likely to be a failure in the other – whether or not the root cause is third-party compromisation or simply the result of shortages and economic instability. Because of this, adopting a domestic or “local” sourcing strategy is critical, keeping roadblocks and risks to a minimum.
Algorithmic compromisation
Whether intentional or unintentional, human error can pose a serious risk to the quality and function of AI-based algorithms. This can result in the system having an inherent bias, relying on incorrect information and seriously compromising the output – which can then impact hundreds or thousands of end-users. If you manage anything AI-related, finding ways to instill failsafe measures in your process and anticipatory defense systems is critical to preserving your brand’s presence and competency in the global market.
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Technology is the tool that will drive your business to the next level – you just need to determine how to best leverage it. At CHIPS, we’re here to help you do exactly that, offering custom solutions and consultation to help you get the most out of your current tech stack. For more information and to get started today, please visit our website.
