Insider Risk Management (AI-IRM)

See Insider Risk Earlier

AI-IRM connects first-party SASE data, third-party signals, knowledge graphs, and LLM reasoning to discover suspicious insider behavior earlier and turn investigations into executable response workflows.

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Product Highlights

Full-Scope Sensing × Intelligent Triage × Evolving Skills

Correlate first-party SASE data, third-party signals, knowledge graphs, and AI reasoning to detect and investigate insider risk earlier.

Data Advantage

Full-Scope Data Foundation

Built on Eagle Cloud SASE-native capability, first-party data is ready to use with no additional build-out. Open to rapid integration of mainstream third-party systems and log sources. Unified cleaning, normalisation, and correlation analysis forms a traceable full-chain risk evidence base.

Native SASE first-party data is ready to use without extra integration

Integrate and standardize rich third-party data sources to activate isolated legacy data

Automatically correlate multi-source data to reconstruct the person-device-behavior chain

Model Advantage

Intelligent Triage Brain

Continuously trained on massive real-world risk events with built-in systematic industry domain knowledge. Combines AI intelligent reasoning and SQL evidence retrieval to identify genuine risk events within complex behaviour patterns.

Trained on large volumes of real cases so specialized models understand insider-risk behavior

Enterprise reasoning engine identifies behavioral intent, covers common tactics and variants, and mines risk events deeply

AI reasoning plus SQL retrieval cross-checks support autonomous aggregation and analysis of employee risk signals

Skill Advantage

Threat Sensing Skill Library

A combat-tested threat detection skills library, continuously optimised via business feedback and the data flywheel effect, enabling rapid response to and precise identification of new types of insider risk.

Continuously accumulated knowledge graph covering mainstream data theft scenarios and attack methods

Business-feedback iteration quickly adapts to domain knowledge and workplace changes

Connect enterprise-built skills through Yunshu skill-library standards to improve business fit

Operations Advantage

Lightweight Automated Operations

Built on a complete clue and evidence chain. Risks can be auto-remediated rapidly, reducing human effort while achieving fast loop closure and continuously evolving governance.

Provide complete clues and evidence, combined with collaborative investigation, to attribute risk precisely

Orchestrate automated response, link the full evidence chain, and generate incident reports automatically

Use response feedback to iterate policies automatically and build lightweight routine operations while reducing manual effort

1 / 5

Leak Prevention for Departing and High-Risk Roles

Monitor high-risk periods and sensitive roles for abnormal downloads, copying, or private-channel transfers.

Unified data lake + knowledge graph + LLM semantic layer Build an explainable and executable AI-IRM engine

Lower false positives, faster investigations, provable governance Move insider risk management from after-the-fact explanation to proactive control

Clearer Risk Prioritization

Risk scoring and anomaly consolidation free the security team from alert overload so they can focus on genuinely high-impact events.

More Efficient Collaborative Investigation

Auto-links contextual evidence with a unified view for security, legal, and HR collaboration, shortening the cycle from investigation to remediation.

Reviewable Compliance and Operations

Full-process audit trail and automated report generation. Privacy-first, minimum-collection design supports audit evidence, policy iteration, and cross-quarter governance comparison.

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.

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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

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

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

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

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

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

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

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

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

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

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

IT Infrastructure Manager, SUPCON

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 AI-IRM?
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Review positioning, privacy compliance, integrations, rollout timeline, and value measurement for risk governance.

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Traditional SIEM/UEBA relies on rule engines and statistical models with high alert volume and high false positive rate, requiring extensive manual analysis. Eagle Cloud AI-IRM adds an LLM semantic layer combined with an enterprise knowledge graph for deep behavioural intent interpretation, outputting actionable conclusions rather than just alert lists.

Via Eagle Cloud SASE-native capability, behaviour data from ZTNA, XDLP, XDR, SWG, and other modules feeds in directly with no additional integration. Also supports rapid ingestion of HR systems, email systems, OA platforms, and third-party SaaS logs.

Yes. AI-IRM can configure dedicated policies for high-risk identities such as contractor accounts and partner access, integrating them into the unified behaviour analysis and risk assessment system at the same governance level as internal employees.

Eagle Cloud AI-IRM uses a privacy-first, minimum-collection design: only collecting behaviour data directly relevant to risk analysis, masking sensitive personal information during analysis, with full data accessible only to authorised personnel after a risk threshold is triggered.

The system automatically generates an incident report with a complete evidence chain, triggers a response ticket, and pushes to the relevant security, HR, and legal teams for coordinated response. Resolution results automatically feed back to the system, driving policy iteration and risk model optimisation.

AI-IRM detects abnormal AI tool usage and sensitive prompt content sent to GenAI tools. When sensitive content is identified, it can automatically alert, block, or redact based on risk level and policy settings.

Yes. AI-IRM connects natively with SASE modules and supports standard integration with DLP, EDR, HR, IAM, and SIEM systems through connectors and APIs.

Rollout can be phased, starting with the highest-risk scenarios such as departing employees and third-party accounts. Most organisations see measurable results within four weeks of the initial deployment cycle.