Insider Threat Detection and DLP: Stop Employees and AI Agents from Moving Data Without Authorization
Kitecyber is an endpoint-native DLP platform that helps security and IT teams detect and stop insider theft, whether the actor is an employee, a contractor, a GenAI copilot, or an autonomous AI agent moving sensitive data without authorization. One lightweight agent monitors files, clipboard, browser uploads, email, SaaS apps, and GenAI tools, and enforces policy in real time at the endpoint.
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Insider Theft Management Solutions by Kitecyber
Insider Threat Detection and DLP: Stop Employees and AI Agents from Moving Data Without Authorization / Kitecyber is an endpoint-native DLP platform that helps security and IT teams detect and stop insider theft, whether the actor is an employee, a contractor, a GenAI copilot, or an autonomous AI agent moving sensitive data without authorization. AI copilots and agents can now read, copy, and upload sensitive data at machine speed, often without any human action, which is why Kitecyber makes the endpoint the real-time decision point: See, Decide, Enforce, continuously. One lightweight agent covers files, clipboard, browser uploads, email, SaaS and cloud apps, data pasted or uploaded into GenAI tools, removable media, and network channels, across Windows, macOS, and native Linux.
Overview
Simple, Holistic Insider Threat Protection
Stop costly data leaks before they happen without the complexity of legacy tools. Kitecyber Insider theft Management tools deliver everything you need to detect and prevent insider threats through a single, powerful solution.
Stop Insider Data Theft
with continuous user behavior monitoring across endpoints and SaaS
Eliminate Security Blind Spots
with unified visibility into user activity across your entire digital estate
Prevent Data Exfiltration
with real-time blocking of unauthorized file transfers and risky actions
Simplify Incident Response
with automated compliance enforcement, & remote lock/ wipe
Accelerate Risk Mitigation
with seamless integration into your existing security stack
Unlike reactive security solutions, Kitecyber ITM tools stops insider theft at the source, before it escalates into a costly data breach.
How Kitecyber Detects Insider Threats from People and AI Agents
Traditional insider threat tools watch for known bad behavior patterns or inspect network traffic they can see, which misses data moved by AI copilots and autonomous agents operating directly on the endpoint. Kitecyber classifies sensitive data by context, not just regex patterns, tracks real-time data lineage as it moves across files, clipboard, browser, email, SaaS apps, and GenAI tools, and enforces the right action, allow, block, warn, coach, log, or isolate, at the exact point of risk, whether the action was taken by a person or an AI agent.
The Problem
The Insider Threat Management Gap
Most insider threats are hard to detect. They often come from trusted employees, contractors, or partners—people who already have access. Even a small act of negligence, an honest mistake, or malicious intent can open the door to data loss, regulatory fines, and eroded trust.
The problem? Most organizations lack real-time visibility and control to stop insider theft before it happens.
That leaves dangerous gaps—and those gaps lead to costly breaches.
Without the right tools, security leaders face mounting challenges:
AI Agents Change the Insider Threat Model
Autonomous AI agents and copilots running on company devices can read, summarize, and move sensitive data without any human clicking a button, which means insider risk is no longer limited to people. Network tools only see traffic that crosses the network, and legacy DLP enforces static patterns, so neither sees data leaving through an agent acting directly on the endpoint. Kitecyber closes that gap by treating the endpoint as the decision point for both human and machine-driven data movement.
No Clear
Visibility
52% of organizations lack the tools to clearly detect insider risks.
More Incidents, Less Control
83% of companies experienced at least one insider-related breach in the past year.
Complex Work Environments
Remote work and cloud platforms scatter sensitive data across devices and apps, making it hard for IT and security teams to keep pace.
Misplaced Confidence
Many leaders believe they’ve got insider threats under control—but only 36% have fully integrated solutions in place.
Expensive Mistakes
The average annual cost of insider threats reached $17.4 million in 2025. Post-incident response times and expenses continue to rise.
Slow
Recovery
45% of organizations take a week or more to recover from an insider attack.
Solution Overview
Kitecyber: Insider Threat Management Tools & Solutions
Kitecyber detects and stops insider theft, whether the behavior is careless, malicious, the result of a compromised account, or an AI agent acting on a user’s device, through context-aware classification and real-time data lineage tracking.
Kitecyber continuously monitors user activity across endpoints, SaaS apps, and networks, gathering clear, actionable evidence to accelerate investigations, enable cross-team collaboration, and ensure the right response-minimizing business disruption and safeguarding sensitive data.
Secure SaaS Access
See every SaaS app in your business and take back control
Expose every SaaS application in use, including shadow IT often overlooked. Gain full visibility into where sensitive data lives, moves, and risks exposure. Block high-risk user actions like sharing confidential files through unsanctioned platforms, before they cause harm. Enforce granular controls that ensure only trusted apps and behaviors are allowed. Regain control over SaaS sprawl and reduce the chances of data leakage.
Secure Internet Access (SIA)
Enforce web security that starts at the source
Inspect web traffic directly on the device without relying on external gateways. Block data theft attempts by preventing uploads to malicious or unauthorized sites. Stop phishing pages and web-based threats in real time, before they ever reach the network. Inline inspection ensures users stay protected, whether on corporate machines, personal devices, or working remotely.
Stop sensitive data from slipping away and keep your secrets safe
Monitor, discover and control the movement of sensitive data across endpoints, SaaS apps (Gen AI or Non Gen AI), email, and the internet. Leverage User Entity Behavioral Analytics (UEBA) to track high-risk user actions that can lead to sensitive data loss like Copy-paste, USB transfer, Airdrop usage, etc. Adapt policies quickly to meet compliance goals and reduce the risk of insider data leaks.
Zero Trust Privilege Access (ZTPA)
Let only the right people in and keep your private apps truly private
Apply least-privilege or Just-in-time access across all internal public or private cloud resources. Restrict users to only what their roles require, preventing lateral movement and privilege creep. Replace legacy VPNs with identity-based, context-aware access that adapts to user behavior and device posture.
Unified Endpoint Management (UEM)
Manage every device from one place and lock down your data everywhere
Manage device management and security into one streamlined dashboard. Manage multi-OS devices, including BYOD from a single place. Enforce security policies, monitor device health, and instantly lock or wipe devices when threats are detected. Keep every endpoint compliant, updated, and secured, no matter where teams work.
Benefits
Key Solution Benefits
Proactive Security
Stop threats before they cause harm.
Effortless Compliance
Stay audit-ready with automated tools.
Scalable Control
Manage thousands of devices with ease.
Time Savings
Automate routine tasks to free up IT resources.
Use-case
Put Insider Risk on Lock. Defend Data Exfiltration with Ease.
User Entity Behavior Analysis (UEBA)
Detects user behavioral activity like Data Upload, Copy-paste, etc to keep track of data usage.
Intellectual Property Protection
Prevents theft of proprietary code, designs, or trade secrets by insiders.
Data Exfiltration Prevention
Protects organizations records and sensitive information from unauthorized access or exfiltration.
Remote Workforce Security
Manages risks introduced by remote access and BYOD (Bring Your Own Device) policies.
Compliance & Audit
Maintains detailed logs and evidence for regulatory requirements and investigations.
Zero Trust Implementation
Blocks anomalous user behavior and enforces least-privilege access
FAQ's
Frequently asked questions
Insider threat management involves proactive measures to mitigate sensitive data loss risks from individuals called as insiders who could intentionally or unintentionally expose compromised information. These insiders may include employees, contractors, or partners.
Kitecyber is a hyperconverged network and endpoint security solution designed to detect and prevent insider threats by monitoring user behavior, securing sensitive data, and enforcing compliance policies across devices, cloud apps, and remote work environments. It identifies anomalous activities such as unauthorized data access, sharing, or movement, providing full context to mitigate risks from malicious or careless insiders.
Kitecyber continuously tracks data movement across endpoints, email, SaaS applications, and networks in real time. Its Data Shield solution leverages both endpoint and network signals to detect suspicious actions like copy-paste, rogue uploads, email attachments, or unauthorized sharing, stopping data exfiltration before it happens.
Unlike legacy network-based DLP tools, Kitecyber operates at the endpoint and identity level, offering visibility into shadow IT and encrypted data that traditional solutions often miss. It provides unified monitoring, granular activity tracking, and automated enforcement without relying on perimeter controls, making it effective for remote and hybrid workforces.
Yes, Kitecyber automates compliance by discovering, classifying, and securing sensitive data according to regulations like PCI DSS, GDPR, HIPAA, and SOC-2. Its reporting tools and policy templates simplify compliance management and reduce regulatory risks associated with insider data misuse.
Kitecyber leverages AI to improve the accuracy of data discovery and classification, reducing false positives and enabling more precise application of security controls. Automation features allow IT teams to enforce policies, manage device privileges, and proactively resolve security issues, streamlining insider threat prevention and response
Kitecyber's endpoint-native DLP classifies sensitive data by context and tracks its lineage across files, clipboard, browser, email, SaaS apps, and GenAI tools. It enforces the right action, allow, block, warn, coach, log, or isolate, at the point of risk, whether the actor is a person or an AI agent.
Teams are moving enforcement to the endpoint, since AI agents and copilots operate directly on the device where network and SaaS-only tools have no visibility. Kitecyber follows a See, Decide, Enforce model that runs continuously, so data movement is classified and acted on in real time regardless of whether a human or an agent initiated it.
No. Kitecyber does not read, store, or log the text of a user's prompt. It classifies the sensitive data in the paste or upload payload at the moment it enters a GenAI tool and enforces policy at that point.
