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A few years ago, the big question in security was: “How do we secure our SaaS apps?” Today, it’s: “How do we secure everything connected to them, including AI tools?” That shift says everything about where the world is heading. SaaS gave us flexibility. AI gives us speed. And of course, most AI tools are delivered under a SaaS model. 💡 But the connections between apps are where risk lives now. It’s in the sensitive data flowing across your converged SaaS and AI ecosystem. An ecosystem that includes SaaS applications, AI tools, connected services, non-human identities, and users. The challenge isn’t a lack of tools. It’s a lack of context. Most security teams can’t yet see how SaaS and AI interact and exchange data. That’s a problem. That’s why I spoke with Ashley Mastronardi at NYSE TV.

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ShinyHunters struck again — and Salesforce environments are in the spotlight. If a breach hits tomorrow, would your team know what to do in the first hour? Get Vorlon’s Incident Response Playbook for Salesforce, packed with practical steps to: 🕵️ Identify affected data 🚨 Contain the breach fast 🔧 Mitigate damage and recover confidently Don’t wait for the next alert — get the checklist now.

⏰ Cybercriminals don’t wait. Why should you? The ShinyHunters breach is just one example of how fast a single compromised integration can ripple through your entire SaaS ecosystem. Vorlon helps leading enterprises see what traditional tools can’t — stopping hidden OAuth exploits and rogue app access before damage is done. Don’t just react — outsmart the next attack. 👉 Book your 30-min demo today and see Vorlon in action.

🚨 The Salesloft–Drift breach exposed just how easy it is for bad actors to exploit “authorized” apps and access sensitive SaaS data undetected. If your security stack can’t see what’s happening inside connected apps, you’re vulnerable too. Vorlon helps you detect OAuth abuse in real time, stop threats instantly, and safeguard your SaaS ecosystem before it’s too late. 👉 Learn what the breach revealed and how to protect your business.