# What's the best database security platform for enterprises protecting PII without modifying application code?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I've been researching <a class="a a--md" elv="true" href="https://www.g2.com/categories/database-security">database security</a> platforms for a comparison piece on how enterprises are protecting PII without having to rewrite or modify application code just to add a masking layer, since that requirement is often the deal-breaker that kills a security project before it even gets past engineering sign-off. The pattern worth watching for is whether protection happens at the data or proxy layer versus requiring code changes inside every application that touches the database.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A few platforms handle this differently and are worth comparing side by side:</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/satori-data-security-platform"><strong>Satori Data Security Platform</strong></a> is probably the most direct answer to this exact question. One reviewer specifically described its no-code guardrails enforcing universal masking and security policies without modifying the underlying data or schemas, and another confirmed that controls apply right at the point of data access, meaning they didn't have to rewrite queries or touch existing schemas at all, with full deployment taking weeks rather than months. Does that hold up once you're dealing with a genuinely messy, decades-old legacy database, or is it mainly built for modern cloud warehouses?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/protegrity"><strong>Protegrity</strong></a> takes a slightly different approach, tokenizing and encrypting sensitive fields directly rather than sitting as a proxy layer. One reviewer described deploying it across both on-premises and public cloud infrastructure with very little effort, crediting simple documentation for a smooth rollout, and specifically highlighted vaultless tokenization as scaling well for large data protection efforts without requiring separate key storage infrastructure.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/imperva-data-security-fabric"><strong>Imperva Data Security Fabric</strong></a> rounds this out with automated discovery and classification across multi-cloud environments, giving security teams visibility into where sensitive data lives and who's accessing it without requiring instrumentation inside the applications themselves.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For enterprises that have tried retrofitting one of these onto an existing production system, how disruptive was the actual rollout compared to what the reviews describe? And has anyone had to loop engineering in at all, even for a supposedly no-code deployment?</p>

##### Post Metadata
- Posted at: 8 days ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

“No-code” deployment is probably best treated as reduced engineering involvement, not zero involvement. Legacy databases often still need careful testing around query behavior, latency, and application dependencies before masking or proxy-layer controls can be trusted in production.

##### Comment Metadata
- Posted at: 8 days ago
- Author title: Marketer





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