- Access exclusive content
- Connect with peers
- Share your expertise
- Find support resources
As organizations race to adopt Generative AI tools like ChatGPT, Copilot, and Gemini, a critical question emerges: how do you let employees benefit from AI productivity gains without exposing sensitive corporate data?
The answer isn't to block AI apps — that's a losing battle. The answer is to isolate and control what users can do inside them.
Palo Alto Networks Prisma Access addresses this with a natively integrated combination of Remote Browser Isolation (RBI) and Inline Data Loss Prevention (DLP) — giving security teams granular control over every interaction between your users and AI applications, without breaking the user experience.
AI adoption at enterprise scale dramatically expands the attack surface for accidental or intentional data exposure. Every day, employees are:
Integrating AI at a large scale dramatically increases the attack surface for accidental or intentional data exposure. Employees are frequently accessing AI applications from corporate devices, sometimes even logging in with personal email accounts, which bypasses traditional security perimeters. Without strict data protection mechanisms in place, an enterprise-wide AI rollout introduces immense risks, from users casually pasting proprietary code into chat windows to uploading sensitive customer data files directly to public AI models.
To mitigate the risks of a large-scale AI rollout, organizations must implement robust data protection guardrails. Using RBI and Inline DLP, security teams can enforce the following key capabilities:
GenAI adoption is inevitable. Data breaches don't have to be. With Palo Alto Networks Prisma Access, you get a unified SASE platform that lets your organization embrace AI productivity while enforcing the data controls that matter — clipboard, upload, inline inspection, intent analysis — all working together. Your employees get AI. Your data stays yours.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
| Subject | Likes |
|---|---|
| 3 Likes | |
| 2 Likes | |
| 1 Like | |
| 1 Like | |
| 1 Like |
| User | Likes Count |
|---|---|
| 3 | |
| 2 | |
| 2 | |
| 1 | |
| 1 |

