Data Security

Managed Insider Threat

AI-powered behavior analytics flagging insider risk across identity, endpoint, and data activity with structured case management.

  • AI-scored Correlates identity, endpoint, and data telemetry into a unified insider risk score.
  • Monthly Insider risk report delivered to your team
  • Privacy-respecting Design aligned with HR, legal and privacy requirements

The challenge

Insider risk rarely looks like an external attack. A departing employee downloading files, a compromised account behaving just slightly differently, an honest mistake that exposes data anyway, all of it blends into normal-looking activity that rule-based monitoring was never built to catch.

Approach

How the engagement works

01 · Monitor with behavior analytics

AI-driven user and entity behavior analytics track identity, endpoint, and data activity across your organization.

02 · Score and investigate

Activity is risk-scored automatically, with a structured investigation workbench for confirmed concerns.

03 · Escalate with care

Cases are escalated through HR, legal, and privacy-aligned workflows, with a monthly insider risk report to your team.

How it works

From normal-looking activity to a scored, investigated case

What’s included

  • AI-driven behavior analytics across identity, endpoint and data telemetry
  • Automated risk scoring of insider activity
  • Investigation workbench and case management
  • HR, legal and privacy-aligned escalation workflows
  • Monthly insider risk report
  • Privacy-respecting programme design

Outcomes

  • Malicious, compromised and careless insiders identified before damage spreads
  • Cases escalated through the right teams, not left to security alone
  • A defensible, privacy-respecting programme your legal team can stand behind

Why Gruve

Rule-based monitoring flags what breaks a rule
AI-driven behavior analytics flags what breaks a pattern

Most insider risk never trips a static rule. It looks like normal access from a normal account, just slightly off from how that person usually behaves. Gruve's behavior analytics model what normal looks like for every user, so the deviation gets scored and investigated instead of blending into the noise.

Gruve Differentiator

Gruve Managed Insider Threat
Rule-Based Monitoring
Business Requirements

Organizations that want insider risk scored by behavior, not static rules

Relying on fixed rules and thresholds to catch insider activity

Service Model

Behavior analytics and case management operated end-to-end

Internal team builds and maintains detection rules manually

Technology & Expertise

Activity automatically risk-scored across identity, endpoint and data

Alerts fire only when a specific rule threshold is crossed

Approach & Capabilities

Malicious, compromised and careless insiders all in scope

Typically tuned for one insider type at a time

Governance & Assurance

Structured investigation workbench and case management

Findings tracked ad hoc, outside a formal case system

Data Security

Often deployed together

Managed DSPM & AI Data Governance

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

Learn more

Managed Data Protection & DLP

Continuous policy administration and AI-assisted content detection for data loss prevention.

Learn more

DLP / DSPM Implementation

Discovery, classification design and phased rollout of DLP and DSPM platforms.

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.

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Start with a clear programme design before monitoring begins

Not every threat wears a mask. Catch the ones already inside with managed insider threat detection.

  • Programme design aligned with HR, legal and privacy requirements upfront
  • Escalation paths defined before monitoring begins
  • A privacy-respecting approach built into the programme from day one

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