Safeguarding your business's unique data is more crucial than ever. Traditional Data Loss Prevention (DLP) systems are struggling to keep up. Here’s a clear look at why they don’t suffice and how a “shift-left” approach can benefit your company.
Most DLP systems are designed to protect standard data like personal and payment information because laws require it. But what about the data that's the heart of your business, like your trade secrets or unique processes?
Legacy techniques strictly follow a predefined set of rules, meaning data unique to your organization can slip through the cracks. A robust DLP solution needs to offer both out-of-the-box machine learning (ML) detection models and customer-trainable ML detection models to provide reliable, accurate, and efficient data loss prevention.
What if you could fix a leak before it became a flood?
That’s the advantage of “shifting left” in data security. By constantly monitoring where your data lives and how it's used, you can spot risks earlier and avoid breaches before they happen. This approach is not just about avoiding loss; it's about reinforcing trust in your business’s ability to protect its assets.
At Palo Alto Networks, we understand that one size does not fit all, especially when it comes to protecting sensitive data. Traditional DLP systems have their place, but when it comes to the unique and proprietary information that sets your business apart, you need clarity and cutting-edge capabilities.
That’s where our “shift left” philosophy comes into play, focusing more on recognizing and addressing data security issues earlier in the data lifecycle rather than reacting to incidents after they occur. Here’s how our Enterprise DLP puts this philosophy into action for your business:
Control sensitive data with our proactive “shift left” data security strategy. For a deeper understanding of how our solutions can safeguard your business's most valuable assets, check out our on-demand session from SASE Converge ‘23, “Cover Your SaaS With Next-Gen CASB and AI-Powered DLP.”
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