Redefining SaaS DLP: DoControl Launches Advanced Data Scanning Capabilities

Since we launched in 2020, DoControl has been hard to put in a box – and that’s by design.

We never set out to be just another SSPM or DLP vendor, and we don’t fit neatly into those boxes. Why? 

Because the world of SaaS data security has outgrown legacy categories – and we’re here to lead the charge.

When we started, we set out to build – and successfully delivered – a revolutionary DLP engine for SaaS, offering granular controls for historical exposure and flexible, contextualized policies with end-user engagement to scale with your business. As the market has evolved, so have we, and that’s why we’re excited to announce the next phase of our DLP strategy.

With our latest product update, we’re introducing powerful new Data Loss Prevention (DLP) capabilities purpose-built for modern SaaS environments. This isn’t your typical DLP. 

In this piece, we’ll show you just how DoControl is redefining what it means to protect your most critical SaaS data in 2025.

The Problem with Legacy DLP

Today’s DLP tools are broken. 

They’re clunky. Expensive. Slow. Plagued by poor accuracy, performance bottlenecks, and an avalanche of false positives, they generate more noise than insight.

Worst of all, they lack identity context and real-time adaptability – ignoring the context that matters most: who is accessing the data, why they need it, and how it’s being used.

Legacy DLP tools were designed for a world of static endpoints and on-prem environments. It inspects content in isolation, using rigid rulesets and generic engines. This lack of contextual data leads to compliance gaps, alert fatigue, and intense operational friction for security teams.

In 2025’s cloud-native workplace, data flows across dozens of SaaS applications, users, and devices 24/7. Rigid rule-based out of date DLP tools just can’t protect and enable properly.

While traditional DLP tools have their merits, they aren’t built to handle the scale and flexibility required for SaaS applications.

Main DLP Challenges for Effective SaaS Security 

Securing SaaS data presents a whole new set of challenges that traditional DLPs weren’t built to handle.

• Dynamic Access Controls: Legacy DLP solutions focus on static or predefined patterns – think credit card numbers or social security data. But SaaS security demands adaptable, user-context-aware policies that reflect how access and rules changes over time.
  
  
• Native SaaS Integrations: Traditional DLP tools often require complex setups and aren't optimized for cloud-based data, especially when accessed from various devices and locations. They also require heavy lifting to deploy and maintain.
  
  
• Granular, Risk-Based Policies: Old-school DLP thinks in black and white: it’s either block or allow. That lack of nuance can lead to serious productivity bottlenecks. These binary rules drastically hinder business productivity.
  
  
• Historical Remediation at Scale: Even when you configure DLP correctly (which is no small feat), it rarely helps you go back and fix past exposures – which means all your exposed data from the past is still out there.

Introducing DoControl’s Modern, Identity-Aware DLP

We believe securing SaaS data shouldn't mean sacrificing speed, context, or control. At DoControl, we’ve reimagined DLP from the ground up, not just as a way to block data exfiltration, but as a smarter, more adaptive approach to protecting your most critical assets in a decentralized, identity-driven world.

Forget the old model of clunky agents, rigid rules, and blindspots. 

DoControl redefines DLP for the SaaS-first enterprise. We focus on precision, automation, and context-rich protection – powered by integrations with IdPs, HRIS, and deep SaaS visibility. Our “Just-in-Time” scanning model ensures maximum coverage with minimal disruption.

Now Launching: Advanced Data Scanning in Workflows

Introducing our most powerful DLP upgrade yet – a unified, scalable “Data Scan” Workflow Capability that leaps far beyond PII/regex detection:

Built for security teams who need clarity and control – not noise.

What’s New:

• 200+ Data Classifiers (up from 33) – detect secrets, financials, PHI, IP, and more
  
  
• Intelligent Match Context – see exact matches with offsets, masked snippets, and surrounding text
  
  
• AI Classification Engine – an AI-powered layer that goes beyond traditional patterns to detect sensitive data in context
  
  
• OCR for Images – scan contracts, screenshots, IDs, and more for broader visibility
  
  
• Categorized Findings – flag issues by type (Security, PII, Finance) for faster triage
  
  
• Compliance Drift Detection – align findings with standards like SOC 2, HIPAA, and ISO
  
  
• Custom Regex and Match Logic – set thresholds, match limits, and fine-tune rules
  
  
• Confidence Scoring – probability-based match scoring for smarter decisions
  
  
• Unified UX – one powerful step that replaces multiple clunky ones for drastically improved usability

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A New Era of SaaS-Aware DLP

With this launch, DoControl isn’t just patching the flaws of legacy DLP – we’re setting a new standard. 

This is DLP built for the way SaaS actually works: deeply integrated, context-rich, and relentlessly precise. Smarter signals, deeper scanning, and dynamic controls that empower security teams to act with confidence, not sift through noise.

This is more than an update. It’s a new chapter for SaaS data protection. And we're just getting started!

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