Protecting Data in the Age of AI
AI tools like ChatGPT, Google Gemini, and Microsoft Copilot propose great benefits to organizations but also introduce new security risks. The use of these technologies can lead to accidental or malicious exposure of sensitive data, leading to major financial and reputational damage.
Key Risks:
The Solution:
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Granular Data Protection Controls
AI security requires a comprehensive approach that addresses three distinct but interconnected challenges. Control how sensitive data interacts with AI tools through flexible security measures.
Flag Patterns
Monitor and block questions submitted to AI sites based on sensitive data patterns
Block Classified Data
Prevent copying and pasting of classified data.
Outright Block
Restrict all traffic to generative AI sites for maximum security.
Fortra Data Security for AI
Fortra Data Security can block data egress via AI sites right out of the box with our Generative AI Content Pack.
This provides DLP policies and reporting templates to allow users to use generative AI sites while preventing the egress of classified data via copy-and-paste, file upload, or form submission.
Our Generative AI Content Pack also includes a workspace within our Analytics and Reporting Cloud (ARC) to allow for reporting on key data points such as:
- Volumes of events by users
- Types of data egressed (PII, PCI, etc.)
- Most common file types being shared via AI sites
- Operation types such as copy-paste or file upload
- Top sites where egress is occurring
ARC dashboard offers insights on data egress and AI site activity.
Fortra Data Security: 20+ Years Protecting Critical Data
Why "Free" Data Loss Prevention Isn’t Enough
So-called "free" solutions with hidden fees may seem cost-effective at first glance, but their limited capabilities often undercut efforts to protect against the complex risks of AI-driven data loss—that is, unless you pay up for extra features.
Read our datasheet to discover why purpose-built DLP with predictable, transparent pricing and robust features is the best way to protect your data and budget.
We are at the leading edge of not only the use of AI Chatbots but understanding the shortcomings and implications. Since each company has their own tolerance for risk, tools need to provide the flexibility to allow a company to ease their way into these environments. As cases in the US court system have already shown these learning models do not discriminate, be it personal commentary or intellectual property, all data is fair game, and we need to protect what we own.
Director of Product Data Protection, Fortra
See How Fortra Data Security Protects Your Data From AI Risk
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