Versetal

By 2030, preemptive cybersecurity will account for 50% of IT security spending. Why? Because reactive security doesn’t work anymore. ?? Ransomware is evolving, using AI and advanced attack vectors ?? Traditional antivirus & firewalls can’t keep up ?? Businesses need AI-driven security that stops threats before they happen That’s where MDR/EDR solutions come in. They combine: ? Threat hunting & AI automation ? 24/7 response & containment ? Proactive defense, not just detection Learn how MDR/EDR can keep your business secure in our latest blog, written by SOC Analyst Justin Butler. ?? Read more: https://hubs.li/Q03cx0Gp0 #Cybersecurity #MDR #EDR #ThreatDetection #AI

AI is a game-changer, but it’s only as strong as the data it’s built on. Make sure your data is AI-ready with the 4 Pillars of AI Readiness. With the right strategies in place, you’ll ensure your AI investments pay off. Read our latest blog to learn how you can kickstart your organization's AI journey: https://hubs.li/Q03chnJS0 #DataQuality #AI #BusinessStrategy #AIReadiness #Innovation #TechTrends

AI projects shouldn’t rely on luck, but too many do. ?? By 2026, 30% of generative AI projects will be abandoned due to poor data quality, inadequate risk controls, and unclear business value. That means: ? Bad data = bad AI outcomes ? Weak governance = compliance risks ? No clear strategy = wasted investment Don’t leave your AI success to chance this St. Patrick's Day. A strong data strategy is your pot of gold. Learn how to make your data AI-ready from Practice Director, James Alvord, here: https://hubs.li/Q03c3_q80 #StPatricksDay #AI #DataQuality #CyberSecurity #RiskManagement

Through 2026, GenAI will reduce manually intensive data management costs by up to 20% per year while enabling four times as many new use cases. What does this mean for IT and data teams? ? Less time spent on manual data tasks ? More automation, accuracy, and efficiency ? New opportunities for AI-driven innovation But as AI takes over data management, governance and security must keep pace. Organizations need scalable, structured data ecosystems that are built for automation. How is your business preparing for AI-driven data automation? Learn how we can help here: https://hubs.li/Q03bx1Hh0 #AI #DataManagement #Automation #ITInnovation

AI is only as powerful as the data it has access to, but that comes with major challenges. ?? 70-90% of enterprise data is unstructured—and AI will use whatever it can access. ?? 40% of organizations cite lack of data as a top challenge in AI adoption. ?? Sensitive and personally identifiable information (PII) is at risk if not properly governed. Is your data strategy AI-ready? Learn more in our latest blog: https://hubs.li/Q03bvQL10 #AI #DataManagement #CyberSecurity #ITLeadership

AI/ML is transforming our world and creating tremendous business opportunities to innovate and thrive. But here’s the catch: the success of AI/ML solutions for your business depends heavily on having a well-managed enterprise data management framework. In our latest blog, Practice Director, James Alvord, dives into the four key pillars of AI Data Readiness and the challenges that come with them. Learn what the 4 pillars are here: https://hubs.li/Q03bcS5g0 #AI #CIO #Security #Cybersecurity #MSSP #MSP

Generative AI isn’t just transforming content, it’s reshaping IT infrastructure. What does this mean for IT teams? ?? AI-driven automation will streamline network setup and management ?? Human oversight will shift toward strategic governance rather than manual configuration ?? Network security policies must adapt to AI-managed environments How is your team preparing for AI in network management? Let’s discuss. ?? Learn more: https://hubs.li/Q039JH9n0 #AI #Networking #CloudComputing #EnterpriseIT

AI is only as good as the data that fuels it. With AI and GenAI pulling from data across the enterprise, leaders must take a strategic approach to data management, not just to power AI, but to govern and secure it. The challenges are clear: ?? 70-90% of enterprise data is unstructured—and AI will use whatever it can access. ?? 40% of organizations cite lack of data as a major AI challenge. ?? Sensitive data exposure is a growing risk in AI-driven environments. Organizations can’t afford to take a "rip and replace" approach. They need an iterative, scalable data strategy that aligns AI-ready data with business outcomes. At Versetal, we help organizations design secure, scalable data ecosystems to support AI transformation. Is your data AI-ready? Let’s talk. ?? Learn more: https://lnkd.in/e3gycpCK #AI #DataStrategy #DataManagement #DataGovernance #DigitalTransformation

AI is moving beyond just automation, it’s becoming agentic. And by 2030, 50% of AI software providers will support agentic AI capabilities (like unsupervised automation and task completion). That means: ?? AI won’t just process tasks, it will think and execute with minimal oversight ?? Security, data integrity, and cloud strategies must adapt for autonomous AI systems ?? Businesses that prepare now will have a competitive edge in automation and efficiency How is your company preparing for AI-driven automation? Learn how we can help you here: https://hubs.li/Q03955Jv0 #AI #Automation #CyberSecurity #CloudComputing

And the answer is… Preemptive Cybersecurity (PCS)! By 2030, 50% of IT security spending will go toward PCS, up from less than 5% today. The shift is clear, reacting to threats simply isn’t enough anymore. As cyberattacks become more sophisticated, businesses need proactive security strategies to stay ahead. At Versetal, we help organizations transition to a proactive security model, because waiting for a breach isn’t a strategy. Did you guess correctly? What are your thoughts on this shift? Let’s discuss. Leave a comment below. ?? #CyberSecurity #ThreatManagement #MSSP