6 Reasons Why You Need Outsourced 24/7 Monitoring

Proactive 24/7 Monitoring

In the long run, the benefits outweigh the costs. And the good news you don’t have to do it yourself. Monitoring your IT infrastructure, including your network and applications, is something that’s easier than ever to outsource. Here’s six clear reasons why you need to monitor your always-on business:

Find problems right away: 24/7 monitoring provides real-time information as to how your infrastructure is performing, and gives immediate notification of any abnormalities – it’s not buried in a weekly or monthly report long after it makes an impact on your operations.  Round the clock monitoring means you or your service provider can respond immediately.

Fix problems right away: There’s a reason why people don’t like Mondays – they’re often full of nasty surprises, like a key part of your infrastructure going down over the weekend. Always-on, real-time monitoring means troubleshooting begins as soon as a problem is discovered and before it disrupts your workflow. Or worse still, your customers.

Go with flow: Today’s network and application monitoring tools can be tweaked and tuned to fit your infrastructure.  This customization eliminates false positive alerts and ensures accurate reporting, so you really know what’s going on.

It’s a learning experience: Done correctly, 24/7 monitoring works together with your IT service ticketing system to identify trends or patterns in the alerting to more accurately identify issues and provide recommendations to build a stronger infrastructure for your services.

It’s an early warning system: Not all alerts will mean a system is down.  Some are symptoms of a larger problem that can be resolved proactively before it becomes a major disruption to business operations.

Increase accountability: Putting in place 24/7 monitoring backs up any Service Level Agreement (SLA) you have in place with your service provider and helps you avoid finger pointing if something goes wrong.

If your technology partner has full visibility into your infrastructure, they can better live up to their commitments. Proactively monitoring your infrastructure 24/7 means you can see any bumps in the road and avoid them with time to spare.

Blair Lantz is a senior engineer at Supra ITS who helps customers proactively monitor their infrastructure 24/7 so they can keep their customers in business.

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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