AI Detection and Response (AIDR)

Unlock AI Productivity Safely

AIDR records and detects prompts, responses, tool calls, MCP calls, and skill calls across employee AI usage, AI coding, AI assistants, and enterprise AI applications, making every AI interaction visible, controllable, and traceable.
customer-logo-0
customer-logo-1
customer-logo-2
customer-logo-3
customer-logo-4
customer-logo-5
customer-logo-6
customer-logo-7
customer-logo-8
customer-logo-9
customer-logo-10
customer-logo-11
customer-logo-12
customer-logo-13
customer-logo-14
customer-logo-15
customer-logo-16
customer-logo-17
customer-logo-18
customer-logo-19
customer-logo-20
customer-logo-21
customer-logo-22
customer-logo-23
customer-logo-24
customer-logo-25
customer-logo-26
customer-logo-27
customer-logo-28
customer-logo-29
customer-logo-30
customer-logo-31
customer-logo-32
customer-logo-33
customer-logo-34
customer-logo-35
customer-logo-36
customer-logo-37
customer-logo-0
customer-logo-1
customer-logo-2
customer-logo-3
customer-logo-4
customer-logo-5
customer-logo-6
customer-logo-7
customer-logo-8
customer-logo-9
customer-logo-10
customer-logo-11
customer-logo-12
customer-logo-13
customer-logo-14
customer-logo-15
customer-logo-16
customer-logo-17
customer-logo-18
customer-logo-19
customer-logo-20
customer-logo-21
customer-logo-22
customer-logo-23
customer-logo-24
customer-logo-25
customer-logo-26
customer-logo-27
customer-logo-28
customer-logo-29
customer-logo-30
customer-logo-31
customer-logo-32
customer-logo-33
customer-logo-34
customer-logo-35
AI security risks

AI redefines security threats

Employees use AI every day, but these risks can remain invisible

Prompts leak sensitive data

Employees paste customer information, finance data, and internal documents into AI chats, moving sensitive data beyond enterprise boundaries.

Shadow AI is invisible and uncontrolled

Employees use unapproved AI tools, leaving security teams unable to see who is using what and what data is being sent.

Code and secrets leak through AI coding

When developers use tools such as Copilot or Cursor, source code, API keys, and architecture details may be sent to third-party models.

AI agents break endpoint security boundaries

Agents use MCP and skills to automate actions. If poisoned or prompt-injected, legitimate automation can be abused for data theft and privilege misuse.

Core Capabilities

Discover · Record · Detect · Desensitize · Block

Discover, record, inspect, mask, and block risky AI interactions across employees, developers, agents, and self-built AI applications.

Employee Scenarios

Employee AI Usage Security

Identifies and governs all AI tool usage within the enterprise across web, client, and browser extension entry points. Eliminates Shadow AI blind spots with real-time interception and masking of sensitive prompts.

Shadow AI Discovery and Risk Classification
Shadow AI Discovery and Risk Classification
Real-Time Detection of Sensitive Prompt Content
Real-Time Detection of Sensitive Prompt Content
Dynamic Desensitization of Sensitive Information
Dynamic Desensitization of Sensitive Information
Employee AI Usage Security
Developer Scenarios

AI Coding Security

Protects against security risks when developers use Copilot, Cursor, and other AI coding tools. Automatically identifies and masks source code, API keys, and internal architecture information before it is sent to third-party models.

Code Exfiltration Detection for IDE Plugins
Code Exfiltration Detection for IDE Plugins
Automatic Desensitization of API Keys and Credentials
Automatic Desensitization of API Keys and Credentials
AI Coding Security
Agent Scenarios

AI Agent Security

Full-chain security monitoring tracks every automated operation executed by AI agents via MCP protocol and Skills in real time. Precisely identifies and intercepts prompt injection attacks, data poisoning, and privilege escalation attempts.

Full Audit of MCP Call Chains
Full Audit of MCP Call Chains
Agent Behavior Baselining and Anomaly Detection
Agent Behavior Baselining and Anomaly Detection
Dynamic Permission Control for Tool Calls
Dynamic Permission Control for Tool Calls
AI Agent Security
Application Scenarios

Self-Built AI Application Security

Builds full input and output protection for enterprise-built AI applications. Blocks prompt injection and jailbreak attacks on the input side. Filters sensitive data leakage on the output side. Ensures AI apps run within secure boundaries.

Prompt Injection and Jailbreak Protection
Prompt Injection and Jailbreak Protection
Safe Filtering of Response Content
Safe Filtering of Response Content
Self-Built AI Application Security
1 / 6

Shadow AI Discovery and Governance

Find unsanctioned AI tools, classify risk levels, and bring usage into policy control.

Shadow AI Discovery and Governance

Release AI productivity safely

Tech Intro

Record every interaction and detect every risk Block leakage before it happens

Primary Icon
Secondary Icon

Full Visibility into AI Usage

Covers employee AI tool use, AI coding, and AI agent scenarios. Eliminates Shadow AI blind spots so every AI interaction is auditable.

Primary Icon
Secondary Icon

Controllable Sensitive Data Leakage Risk

Three-layer protection: prompt semantic detection, dynamic masking, and real-time interception, handling sensitive data before it leaves the enterprise boundary.

Primary Icon
Secondary Icon

Governable Agent Risk

Full MCP call chain monitoring and anomaly blocking prevents AI agents from becoming attack entry points or data leakage channels.

Innovative companies choose Eagle Cloud to move faster

Leading customers in intelligent manufacturing, fintech, internet, and global business are building future-ready, efficient, and secure workplace platforms with Eagle Cloud.

Swipe horizontally to view more customer testimonials
logo
Ten security products that each score 90 may not add up to a perfect score, and may even only reach a passing grade. With one unified platform that connects data across modules, each module may score 80 on its own, but the combined result can be much better than several isolated 90-point tools.

CIO Executive Assistant, Geely Holding

logo
Without changing our business or network architecture, we quickly reached a consistent security baseline across scenarios. It helps defend against malicious attacks, protect core data, and reduce overall security investment. Comprehensive data adaptation also makes operations simpler and more convenient.

WeBank-affiliated Fintech Customer

logo
Security is not a shackle. It is Deli's foundation for efficient work. Build it well, and work moves one step faster.

Zero Trust Project Manager, Deli Group

logo
As a digital construction platform company with more than 20 years of industry experience and a global strategy, we operate over 30 branches nationwide and employ more than 10,000 people, most of them technical staff. Many endpoints run around the clock, so workplace and business security are critical. In early 2022, while improving our traditional VPN, we tested several zero trust solutions. After thorough evaluation, we were very satisfied with Eagle Cloud's technical strength and reliability, including its functionality, user experience, elastic scaling, and admin operations. We plan to test and adopt more capabilities on Eagle Cloud Yunshu.

Glodon Security Team

logo
Workplace employees and devices are difficult to manage uniformly, and security awareness varies widely. Eagle Cloud's endpoint all-in-one product provides multi-dimensional endpoint protection and stands out strongly.

Security Lead, TAL

logo
Workplace security is about protecting critical business operations. It continuously discovers, evaluates, and improves network and data risks through technology, training, and management around people as the active participants in information activity.

Security Lead, ACM Research

logo
The baseline of workplace security is not device security or network security. It is whether data always stays in the hands of trusted people and moves through controlled paths.

Endpoint Security Lead, Beike

logo
As an intelligent EV company with full-stack self-developed capabilities, Leapmotor takes core data protection very seriously. After testing and careful evaluation, we chose Eagle Cloud. Together with our IT planning needs, we built an integrated endpoint solution based on the Eagle Cloud Yunshu SDK, covering remote access, peripheral control, data security management, compliance checks, antivirus, and endpoint detection. The platform also delivered lower-than-expected security operations costs and improved office efficiency.

Leapmotor

logo
Security is a bottom line that must be upheld, not a peak to climb over. Like the barrel effect, system security cannot tolerate any weak link. Only when everyone strengthens the defense and prevention comes first can essential safety be achieved.

Enterprise Security Technology Management Lead, Seres Group

logo
After deeply analyzing our business needs and security challenges, we believe integration is the best direction for endpoint security. After testing, comparison, and evaluation, we chose Eagle Cloud as our security partner. Its product capabilities, technical strength, and compatibility can more comprehensively cover our needs across remote access, data protection, desktop management, and network security.

CVTE

logo
The breakthrough point in homogeneous security product competition is how to achieve greater operational results with less investment.

IT Infrastructure Manager, SUPCON

logo
Several scenarios worked well after using Eagle Cloud Yunshu. In particular, after business systems were accessed through zero trust, operation behavior and access records could be synchronized into the data platform for analysis and management, saving time and effort. As a global company, we also need compliant cross-border access, and Eagle Cloud Yunshu lets employees access resources quickly and compliantly from anywhere. Compared with previous coarse-grained access control, permissions are now much more refined and security policies are centralized. Because of the DLP capability, we replaced our original DLP product. Integrated deployment saves us more than 100,000 RMB in annual security operations costs. We also hope the product continues to refine details and expand capabilities.

Security Director, Tiger Brokers

FAQ

Evaluating AIDR?
Get the key details.

Assess AI usage visibility, permission governance, and sensitive data protection maturity.

AIDR stands for AI Detection and Response. It covers four scenarios: AI tools, AI coding, AI assistants, and enterprise AI apps, with full recording and real-time detection of prompts, responses, tool calls, and MCP call chains. It intercepts and masks sensitive data before leakage occurs.
Traditional DLP focuses on file and channel-level data loss prevention. AIDR specialises in full-chain security for AI usage scenarios, understanding prompt semantics, detecting MCP protocol calls, and identifying code exfiltration through AI coding tools, all of which are beyond traditional DLP scope.
Covers mainstream AI chat tools including ChatGPT, Claude, and Qwen, AI coding assistants including GitHub Copilot, Cursor, and Windsurf, browser AI extensions, and enterprise-built AI applications and agents.
AIDR records and analyses every tool call made by AI agents via MCP protocol, identifying anomalous patterns. When poisoning attacks, prompt injection, or privilege escalation are detected, it intercepts in real time and generates alerts.
AIDR tracks every MCP call and Skill execution by AI agents, establishes normal behaviour baselines, detects privilege escalation, data exfiltration, and poisoning attacks, and auto-blocks on anomaly, preventing AI agents from being weaponised.
Dynamic masking identifies and replaces sensitive fields such as customer names, ID numbers, and source code in real time as employees send content to AI tools, using placeholders before transmission. The AI experience is essentially unaffected.
Yes. Differentiated AI tool usage policies can be configured by department, role, and personnel tags. For example: allow the engineering team to use Copilot while restricting the types of code that can be sent, or disable unapproved AI chat tools for the finance team.