DLP That Doesn't Make You Choose: Introducing Menlo AI Adaptive DLP

There's a conversation happening in security teams right now that nobody wants to have out loud.

It goes something like this: DLP is technically enforced. But the false positive rate is so high that the help desk is overwhelmed, users have learned to work around it, and somewhere along the way — quietly, without fanfare — enforcement was paused for "most workflows." The CISO still reports it as active. The GRC team still cites it for compliance. And the IT admin knows it's barely running.

This is the dirty secret of legacy DLP: the organizations that need it most are often the ones enforcing it least.

Today, we're changing that. Menlo AI Adaptive DLP is now generally available. It was built from the ground up to protect sensitive data without stopping work.

Why Every Organization Is Losing the DLP Battle

Traditional DLP forces a rigid "block or allow" decision. When a legacy tool detects a sensitive keyword, it blocks the entire file and halts the workflow. Users find themselves guessing which word triggered the block, manually deleting content just to get their work done. Hours are lost to troubleshooting instead of productive work.

The root problem is accuracy. Legacy DLP relies on pattern matching that averages 70% accuracy according to enterprise security studies. That means nearly one in three alerts is noise. At scale, that translates to hundreds of false positive tickets per week flooding your help desk.

The predictable result: administrators, under pressure from users and leadership, quietly disable enforcement. The compliance posture that looked solid on paper erodes in practice.

Meanwhile, the threat surface has shifted. Most enterprise users now spend the majority of their day in a browser, accessing SaaS applications, collaboration tools, and increasingly, generative AI portals. Endpoint DLP wasn't designed for this environment. It can't inspect web content in real-time, can't reach contractor or BYOD devices, and remains completely blind to what gets uploaded to ChatGPT or Claude.

AI Adaptive DLP: The Shift from Block to Deliver

Menlo AI Adaptive DLP changes the fundamental approach. Instead of rigid dictionaries, it uses machine learning to understand data context, achieving 92% detection accuracy in our testing across enterprise environments. Help desk tickets drop. Enforcement stays on. And the security team stops being the department that breaks things.

The core difference is real-time data masking. Where traditional DLP says "no" and halts work, AI Adaptive DLP says "yes, but safely." It detects sensitive data, masks it character-by-character in real-time, and delivers the file to the user. Workflows continue. Data stays protected.

Delivered from the Menlo Cloud with no endpoint agents required, AI Adaptive DLP works immediately for managed devices, BYOD, contractors, and M&A targets. Policies deploy in days, not months. A single framework covers browsers, email, Microsoft Teams, Slack, OneDrive, SharePoint, Box, and AWS S3, all managed from one console.

Three Problems It Solves

1. Sensitive data leaking into GenAI tools: Your employees want to use ChatGPT and Claude to accelerate their work. That creates Shadow AI risk when users inadvertently upload proprietary files or paste sensitive information into prompts. Since most AI access happens through browsers, AI Adaptive DLP intercepts these actions, automatically masking sensitive information before it reaches external AI services.
2. Accidental exposure in collaboration tools: Modern work happens in Microsoft Teams, Slack, and Office 365. Traditional DLP blocks these workflows entirely when it detects sensitive data in attachments or shared files. AI Adaptive DLP integrates directly into these channels, masking sensitive data before accidental internal exposure occurs while keeping collaboration moving.
3. Regulatory compliance without workflow friction: Balancing data protection regulations like GDPR, HIPAA, and PCI-DSS with business speed is expensive and complex. AI Adaptive DLP scans and masks data in motion across storage systems like Amazon S3 and OneDrive, maintaining compliance while preserving business velocity. This approach can reduce audit scope and prevent penalties without slowing operations.

Five Core Capabilities

1. Global cloud delivery with no agents: Delivered through the Menlo Cloud infrastructure, the solution provides low-latency protection without heavyweight endpoint software. This makes it immediately effective for hybrid workforces, including contractors and BYOD scenarios where installing corporate software isn't feasible.

2. Machine learning detection across 50+ languages: The system detects PII, PHI, and financial data using AI-based analysis that recognizes context across languages and regional data formats. Organizations can also create custom detection rules for proprietary data types, so your unique intellectual property receives the same protection as regulated data.

3. Real-time masking preserves workflows: Instead of blocking files, the system sanitizes content in motion, masking only the sensitive elements. This positions your DLP team as business enablers rather than workflow blockers, fundamentally changing how the organization views data protection.

4. Rapid enterprise deployment: Traditional DLP implementations take months of tuning and configuration. AI Adaptive DLP streamlines deployment into a days-long process, so organizations achieve enterprise-wide data protection without extended project timelines.

5. Unified policy management: A single policy framework protects data across your entire technology stack — from web browsers and email to collaboration applications and cloud storage — all controlled through one management interface.

Looking Ahead

The future is already here. AI agents are either already operating in your organization or soon will be. According to this report, the next billion users in the enterprise will not be human – they will be agents. Fortunately, Menlo Agent Runtime Security creates a secure environment for autonomous agents and bridges the data gap preventing the agents from fulfilling their promises, and AI Adaptive DLP prevents sensitive data from accidental AI Agent exposure.

Security That Enables the Business. Now Available.

For too long, DLP has forced a false choice: protect sensitive data, or let the business run efficiently. Organizations that chose productivity often ended up with enforcement that existed on paper but not in practice. Organizations that maintained strict enforcement paid the price in help desk costs, user frustration, and workflows that moved slower than their competitors.

Menlo AI Adaptive DLP eliminates that trade-off. By shifting from reactive blocking to proactive masking, it ensures your data remains secure, your users remain productive, and your organization maintains compliance. Your security team becomes known for enabling work, not preventing it.

From here, you can read more about the product, download the data sheet, or read how AI Adaptive DLP works with Menlo Browser DLP to secure data across your organization’s modern workflows.