Artificial Intelligence Will Bolster Data Security in the Long Term

Artificial intelligence (AI) is a threat to your organization’s data security, but it also a critical tool for defending it.

Just as business intelligence has become embedded in software tools and enables you to ride the ups and downs of your industry, AI is getting embedded in cybersecurity solutions to combat increasingly sophisticated threat actors.

This sophistication combined with evolution of connected organizations, including remote work, means attack surfaces are getting larger. Hybrid environments where people are working from home and office via different networks are appetizing targets for hackers. When there are so many devices operating on your network, there’s bound to be some that go unmanaged, and hence are unsecured.

Generative AI is making phishing scams harder to detect, and most data breaches are already due to employees not recognizing fake emails. Even though AI helps threat actors be more deceptive than ever, it can help to automate security so that you can more quickly respond, mitigate, and recover from a data breach.

Detecting patterns has always been a core capability of security solutions, and AI makes this capability more robust so that it can be more preventative – it will advise you of potential breaches, as well as help you set policy and automate tasks to lessen the burden for your IT staff, including the onboarding of new employees and managing their access. AI can even help you set policy as to how your employees are allowed to use AI, including ChatGPT.

If you’re nervous about AI and how will affect your business, including its data security, there’s good news in that it can be a net positive thanks to the many productivity gains. Already it’s become clear that security analysts can’t keep up with every alert and every security threat, so AI and automation are necessary to handle them at scale.  

In the longer term, AI is going to be an essential tool for discerning between legitimate activity and security threats. As generative AI becomes more sophisticated and bad actors exploit it to fool unsuspecting users, AI is also going to be able to detect these attempts and allow for immediate, decisive action to prevent data breaches before they happen.

Organizations will also need to deploy fewer security tools as AI capabilities will be consolidated into interoperable security platforms that will reduce the number of vendors and policies that must be managed.

Even as AI streamlines and fortifies your security, it’s still not going to be your core business. A managed service provider can help you navigate the dynamic changes ahead so you can effectively leverage AI to bolster your data security.

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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