October is Cybersecurity Awareness Month!

Cybersecurity Awareness Month

As Cybersecurity Awareness Month marks its 21st year, after the President of the United States and Congress had declared it to be in October in 2004, it’s clear that this year especially stands out. As phishing emails have become more convincing and fraud has increased, this allows cyber-attacks to increase by the minute!

Even amidst large-scale data breaches and cyberattacks, Cybersecurity Awareness Month reminds everyone that there are simple, effective ways to keep yourself safe online, protect your personal data, and ultimately help secure our world.

Do what you can by reserving dedicated time and space for your team to be equipped with effective best practices to fight against pesky cyber threats!

You can find free resources to support Cybersecurity Awareness Month activities through the support of CISA- https://zurl.co/VOW9

Remember, if you have questions or need help finding the right cybersecurity solution, we are always ready to help!

Learn more about our Cybersecurity solutions!

AI merging into IT Disaster Recovery Planning

AI and IT Disaster Recovery

AI is everywhere these days, and disaster recovery is no different.

IT disasters are unpredictable events that can severely affect businesses, causing loss of data, productivity and revenue. While traditional IT disaster recovery methods provide a reasonable amount of planning, business leaders are still wondering how they can use AI for more efficient recovery...

We provide six ways that demonstrate just how AI can help businesses prevent, mitigate, and respond to crises:

1. Continuous Learning and Adaptation

AI can automatically analyze the effectiveness of the recovery strategy implemented and suggest improvements. Over time, the system becomes better equipped to handle and recover from disasters, making the overall recovery strategy stronger.

2. Predictive Analysis

AI, combined with machine learning algorithms, can predict potential IT failures by analyzing patterns in historical data. Simply put, AI-enabled predictive capabilities can significantly reduce downtime by alerting IT departments to issues before they become critical, allowing them to address problems proactively.

3. Data Service Recovery

AI can expedite data and service restoration processes by identifying the most important systems that need to be restored first, ensuring that businesses can get up and running quickly.

4. Automated Response

AI-driven systems can automatically trigger a series of predefined recovery actions when an anomaly is detected, with appropriate safeguards. The response might include backing up data to alternative locations, rerouting network traffic or even initiating failover procedures.

5. Cybersecurity Enhancements

A significant portion of IT disasters are due to cyberthreats. AI and machine learning can help mitigate these issues by continuously monitoring network traffic, identifying potential threats, and taking immediate action to mitigate risks.

6. Optimized Resource Allocation

AI can optimize the use of available resources, ensuring that critical functions receive the necessary resources first. This optimization can greatly increase the efficiency of the recovery process and help organizations working with limited resources.

The integration of AI into IT disaster recovery is not just a trendy addition; it's a significant enhancement that can lead to quicker response times, reduced downtime, and overall improved business continuity.

Have a strong IT Disaster Recovery Strategy?

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Ceca & GCD

October GCD

We would like to congratulate our client/friend, Ceca Foundation, for being named a Finalist for McKnight’s Excellence in Technology Awards!

Have questions about managed services, cybersecurity, or other IT solutions? We have answers!www.gcdus.com

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