We're currently navigating a tricky situation at my workplace. While the leadership is pushing for increased productivity through AI, the compliance team is adamant about zero risks, and employees just want quick answers. Has anyone implemented a system that effectively blocks sensitive data from being input into AI tools like ChatGPT, without entirely restricting access to those tools? What strategies or policies do you have in place for managing GenAI use at your organization? Are you applying a strict ban, allowing open use, or implementing guardrails?
4 Answers
Using tools like Netskope can provide real-time data protection while still allowing some flexibility with AI applications. If employees try to copy sensitive data, you can set up alerts or even automatic redactions to prevent leaks.
Agreed! Plus, if you set up a system that alerts users violating data policies, it adds a layer of accountability.
If you're in a Microsoft ecosystem, consider using CoPilot with appropriate Purview rules for data protection. This keeps your data in-house and sets boundaries for what can and cannot be shared. You might want to also look into implementing Data Loss Prevention (DLP) tools that can monitor pasted content.
Yup! DLP can be a game changer. We implemented it and saw a significant drop in incidents.
But be aware, DLP tools can sometimes block legitimate work, which might frustrate users. So balance is key.
One way to address this is to establish clear policies on allowed AI tools. If there are restrictions, make sure they're enforced at the browser level—block unauthorized AI sites and allow only vetted services like Microsoft CoPilot. If someone gets around the blocks, that's a management issue that needs to be handled firmly. You can't fix every mistake, but you can create an environment where following the rules is easier.
Exactly! And educating employees is key. Regular trainings on risks related to data security could help open eyes and reduce these mistakes.
Right, but I think stricter measures need to be in place too. Just issuing guidelines is not going to cut it.
Ultimately, it's about finding the right balance between enabling productivity and maintaining compliance. Implement guardrails rather than outright bans. If users feel empowered with the right tools and policies, they’re less likely to take risks like pasting sensitive info into AI tools.
Yep, a balance is crucial. We also created a list of tools available to staff so they know what’s safe to use.
Absolutely! A well-rounded approach fosters a more secure yet productive environment.
This method sounds effective! I’ve heard about organizations adopting similar tools to manage their data risks.