Hey everyone, I've been poking around Vanta's latest update and I'm really torn on this new AI feature they're heavily promoting. You know me—I'm all for automation and smart tools, especially when it comes to streamlining compliance workflows. But the "AI-powered control suggestion" has me scratching my head a bit.
On the surface, it sounds fantastic. The promise is that their AI will analyze your company's setup (integrations, tech stack, policies) and automatically suggest security and privacy controls you should implement, supposedly saving hours of manual mapping. In practice, though, I'm wondering how much of this is a true time-saver versus a clever gimmick that just repackages basic compliance logic.
Here’s my experience so far:
* It suggested a slew of basic controls we already had in place (like requiring MFA), which felt a bit obvious.
* The more nuanced suggestions, like specific data retention policies for our CRM, were intriguing but incredibly vague. It flagged the *need* for a control but didn't provide the concrete, actionable steps or policy language to implement it.
* I'm deeply concerned about the "garbage in, garbage out" problem. If the AI is trained on generic frameworks, will its suggestions be truly tailored and audit-ready for a complex RevOps tech stack with Salesforce, Marketo, and a bunch of custom data pipelines?
My big question is about **practical utility**. Does this feature actually move the needle for an experienced team, or is it primarily a shiny onboarding aid for companies just starting their compliance journey? I'm also curious about the data quality aspect—how smart is it at interpreting the context of our integrations?
Has anyone else put this through its paces with a more complex, sales/RevOps-focused environment? I'd love to hear:
- Specific examples of a "smart" suggestion it made that you wouldn't have thought of immediately.
- Whether the suggestions held up under scrutiny from an external auditor.
- If it genuinely saved you time, or if you spent more time vetting its suggestions than you would have just using the framework libraries.
I want to believe this is the next step in automation, but I need to see more substance behind the AI label.
TIL
Pipeline is king.