Robust Cybersecurity Needs More Than Tools and Technology

If money is no object, you can implement as many cybersecurity tools as there are available to secure your organization. But having the latest and greatest security technology doesn’t guarantee your data and applications are safe – you need to manage risk, not rely on cybersecurity tools alone.

More tools bring more complexity, which can be challenging to manage. You’ll have the illusion of being secure, but if you can’t make the most of your cybersecurity tools, you can still fall prey to the latest and greatest vulnerabilities and threats, which are constantly evolving. The best cybersecurity tools can still be misconfigured, underused or not even switched on.

Human error and inside threats can thwart even the best security technology, and the complexity that comes with excessive cybersecurity tool deployment can make for a bad user experience that hinders employee productivity or even spurs them to find workarounds that can put your organization at risk.

Overcompensating by spending a lot on cybersecurity tools that aren’t properly configured or fully used are especially risky for small- and medium-sized businesses (SMBs) because it creates the illusion of robust security – if they aren’t fully optimized, applications and data aren’t protected.

Your risk management strategy should inform you cybersecurity tool investments.

Assess Your Risks First

It’s not a matter of if your organization will fall prey to a cybersecurity threat or data breach, it’s a matter of when. By understanding your risk factors, you can select the right tools and deploy them more effectivity without bogging down the organization with unnecessary complexity that does more harm than good.

The key to establishing and maintaining robust security is to adopt an “assess, protect and respond” mindset. Your cybersecurity tools should be chosen based on an assessment of your organization’s risk, understanding what your critical assets are, and identifying vulnerabilities.

Rather than trying to protect everything, you should do a thorough assessment of your critical assets – mission critical applications, sensitive information and intellectual property, and essential data.

Buying an elaborate cybersecurity platform and telling it to protect everything doesn’t guarantee it will protect your most critical assets. Once you identify them, you can assess how they might be threatened, how you can best protect them, and how you can mitigate any cybersecurity incident through a well-thought out response plan.

The reality is most SMBs can’t afford to deploy elaborate cybersecurity solutions, which means they must prioritize protecting their most critical assets from threats and vulnerabilities.

Risk-Based Cybersecurity Is A Continuum

No matter what cybersecurity tools you opt to deploy, managing security risk an ongoing affair – you can’t set and forget your security platform. Protecting your organization must also include ongoing security training for employees, keeping all applications and systems updated and patched, and continuous assessment and monitoring.

Taking a balanced approach also includes planning for the worst – you must have a response plan in place when a disruption occurs. Having great cybersecurity tools can help bolster your security posture, but they won’t safeguard your organization on their own.  

By evaluating and managing risk first, you can deploy the right cybersecurity tools that can help you to assess, protect and respond to any threats.

There are many ways artificial intelligence (AI) and machine learning already impact cybersecurity. You can expect that trend to continue in 2024 – both as tools for data protection as well as a threat.

Balancing Cybersecurity Innovation Amid Evolving Threat Landscapes

Even as you implement AI and machine learning into your cybersecurity strategy through the adoption of tools like Security Orchestration, Automation, and Response (SOAR), Security Information and Event Management (SIEM) and Managed Detection and Response (MDR), so are threat actors. They will continue to update and evolve their own methodologies and tools to compromise their targets by applying AI and machine learning to how they use ransomware, malware and deepfakes.

With small and medium-sized businesses just much at risk as their large enterprise counterparts, SMBs must take advantage of AI and machine learning as mush possible. AI-directed attacks are expected to rise in 2024 in the form of deepfake technologies that make phishing and impersonation more effective, as well as evolving ransomware and malware.

Deepfake social engineering techniques

Deepfake technologies that leverage AI are especially worrisome, as they can create fake content that spurs employees and organizations to work against their best interests. Hackers can use deepfakes to create massive changes with serious financial consequences, including altering stock prices.

Deepfake social engineering techniques will only improve with the use of AI, increasing the likelihood of data breaches through unauthorized access to systems and more authentic looking phishing messages that are more personalized, and hence, more effective.

Countering Cyber Threats and Harnessing Innovation in 2024

If hackers are keen on leveraging AI and machine learning to defeat your cybersecurity, you must be ready to combat them in equal measure – just as AI and machine learning will create new challenges in 2024, they can also help you bolster your cybersecurity. While regulations are being developed to foster ethical use of AI, threat actors are not likely to follow them.

AI will also affect your cyber insurance as your providers will use it to assess your resilience against cyberattacks and adjust your premium payments accordingly. AI presents an opportunity for you to improve your cybersecurity to keep those insurance costs under control.

Conclusion

There’s a lot of doom being predicted around the growing use of AI and machine learning. And while it does pose a risk to your organization and its sensitive data, you can use it to bolster your cybersecurity even as threat actors leverage AI to up the ante. A managed service provider with a focus on security can help you use AI and machine learning to protect your organization as we head into 2024.

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