Lexful

Pinar Ormeci 2026 headshot

<body>
The pressure on security and service providers hasn’t changed, but the scale has. More endpoints, more alerts, more tickets, and customers who expect faster answers and fewer outages. Headcount alone can’t solve that.



AI-driven automation is starting to absorb that workload in meaningful ways. For MSSPs, that means faster alert triage and investigation. For MSPs, it shows up in endpoint management, ticket resolution, and catching issues before they escalate into client calls. The underlying goal is the same across both: handle more, with the same team.



That’s achievable. But it doesn’t happen by enabling AI features and walking away. It requires clean data, workflows designed around automation, and a clear view of where human judgment still needs to be in the loop.



This webcast cuts through the noise and gets into how MSPs and MSSPs are actually putting AI to work today, what’s required to do it well, and what tends to go wrong when those conditions aren’t in place.
</body>

What you&#8217;ll learn:
<ul>
<li>What AI can realistically do today, and where its limits are</li>
<li>How to use automation to scale services without increasing costs</li>
<li>Why data management is central to AI performance, not just a backend concern</li>
<li>The security and operational risks worth watching, and how to manage them</li>
<li>Where to start and how to expand AI use as confidence builds</li>
</ul>
This session is for security and service providers who want to move past the hype and build AI into their operations in a way that actually holds up.