theCUBE Research

Principal Analyst - Security

Cribl

Senior Market Strategy Manger

Headshot for Jackie McGuire from PPWorks

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Security teams are under constant pressure to defend against rapidly evolving threats, but many are forced to rely on static controls, legacy policies, and broad compliance checklists that were never designed to adapt to their unique risk environment. The result? Gaps in protection, misallocated resources, and a false sense of security.



This webcast will challenge conventional wisdom and offer a blueprint for building a security posture that aligns to the specific risk profile of your organization. We’ll explore how leading teams are moving beyond generic security strategies to deploy adaptive, risk-informed defenses that reflect the real-world behavior of today’s adversaries — and we’ll share practical steps to help your team do the same.
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Attendees will learn:
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<li>Why traditional, one-size-fits-all security frameworks fail to address modern, dynamic threats</li>
<li>How attackers are exploiting gaps created by static policies and generic controls</li>
<li>What a tailored, risk-informed security approach looks like in practice — and how to get started</li>
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Security Operations

Cybercast

Archived: Your Risks Are Unique — So Why Isn’t Your Security?

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ChatGPT, Copilot, Claude — AI tools are everywhere, and are shaping the future of almost every industry. Many organizations are pushing their teams to adopt AI tools in the name of efficiency and productivity, not to mention using them to tackle cybersecurity threats.



But are these AI tools actually undermining data security efforts? Are AI tools a ‘Trojan Horse’ that is facilitating the exposure and leakage of sensitive data? And what can MSSPs do to stop it?



In this live, interactive webcast, experts will discuss the proliferation of AI tools, the data security risks involved, how organizations can address them and how MSSPs can become a first line of defense to make sure DLP solutions are getting the job done.
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You&#8217;ll learn:
<ul>
<li>How AI tools like ChatGPT, Copilot, Claude and others are used today</li>
<li>Their inherent strengths and weaknesses</li>
<li>How inappropriate use by insiders can undermine data loss prevention and protection initiatives</li>
<li>How MSSPs can address the issue and ensure data is secure</li>
<li>And more!</li>
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