For years, TPRM has been about creating clarity, a structured way to understand and manage vendor risk.
But as ecosystems expand and AI systems become part of the stack, that clarity is getting harder to maintain. Reviews start lagging, evidence goes out of date and it gets harder to see risk clearly across vendors.
Then AI vendors get added to the mix. With it comes new kinds of risk around data usage, privacy and compliance without a consistent way to monitor them over time.
And that’s where traditional TPRM starts to break down. Because what worked for a handful of vendors and periodic reviews was never designed for dynamic risk and continuous change.
That’s exactly what we’re unpacking in this session.
Join
Guensie Fisher, JD, CISA (Sr. Technical Risk Analyst,
GitHub) and
Aditya Kaushish (Sr. Solutions Engineer, Sprinto) as they cover how AI is changing the nature of vendor risk and what a more scalable, continuous approach looks like in practice.
Register here👇