Data Security

Managed Data Protection & DLP

Continuous administration, tuning and incident triage of data loss prevention, information protection, and digital rights management, powered by AI-assisted content detection.

  • Continuous Policy administration and tuning across endpoint, email, cloud and SaaS
  • AI-assisted Content detection reduces false positives before they reach an analyst
  • Monthly Service review and policy optimization

The challenge

Sensitive data now moves continuously across cloud, SaaS, endpoints, collaboration tools, and Generative AI services, and traditional DLP's static policies and keyword matching can't keep up, resulting in excessive false positives, policy drift, and inconsistent enforcement. Without AI-powered classification, contextual analysis, and continuous tuning, organizations are left with alert fatigue, unmanaged data risks, and growing compliance gaps.

Approach

How the engagement works

01 · Administer and tune

We take over policy administration across endpoint, email, cloud, and SaaS, tuning detection to your environment from day one.

02 · Detect with AI assistance

AI-assisted content classification reduces false positives, flagging genuine sensitive-data movement instead of every partial match.

03 · Triage and report

Incidents are triaged, exceptions are managed, and you receive monthly policy-effectiveness reporting.

How it works

From a policy library to a tuned, working control

What’s included

  • Continuous DLP policy administration
  • Information protection and sensitivity label management
  • Digital rights management (IRM/EDRM) policy administration
  • Endpoint, email, cloud and SaaS DLP monitoring
  • Incident triage and false-positive tuning
  • Monthly service review and policy optimization

Outcomes

  • Fewer false positives reaching your team
  • Genuine data movement caught across every channel, including AI tools
  • A policy library that stays tuned, not set once and forgotten

Why Gruve

Most DLP deployments are tuned once, then left alone
Gruve keeps tuning as your data movement changes

Static policies drift out of step with how your business actually works. Gruve pairs continuous policy administration with AI-assisted content detection, so tuning happens every month, not once at go-live, and new data movement patterns get caught instead of missed.

Gruve Differentiator

Gruve Managed Data Protection & DLP
Set-and-Forget DLP License
Business Requirements

Organizations that want DLP operated and tuned continuously

A DLP licence configured once and left running

Service Model

Policy administration, tuning and triage operated end-to-end

Internal team owns ongoing tuning alongside everything else

Technology & Expertise

AI-assisted detection reduces false positives before they reach you

Every partial match reaches an already-overloaded queue

Approach & Capabilities

Coverage extended to AI-enabled productivity tools

Coverage limited to channels configured at initial rollout

Governance & Assurance

Exception and policy lifecycle management included

Exceptions handled ad hoc, undocumented

Data Security

Often deployed together

Managed DSPM & AI Data Governance

Continuous discovery, classification and exposure analysis across data and AI stores.

Learn more

Managed Insider Threat

AI-driven behavior analytics scoring insider risk across identity, endpoint and data activity.

Learn more

Data Security & EDRM Assessment

AI-aware data exposure assessment paired with rights-managed document protection.

Learn more

Testimonials

Security that scales with you

The partnership with Gruve brings significant value to customers by combining thought leadership, delivery, and execution of services. Leveraging AI/ML and Cloud tools in delivering software integrations and services can significantly ease transitions for large enterprise organizations.

Book your assessment

Start with a clear policy baseline before continuous tuning begins

DLP Protect your most sensitive data, wherever it lives. Get a managed data protection program running.

  • Existing policies and sensitivity labels reviewed upfront
  • Channel coverage confirmed across endpoint, email, cloud and SaaS
  • A monthly tuning cadence agreed before the engagement begins

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