INSIGHT EYE MIT
Say goodbye to "finding a needle in a haystack"”
Next generation enterprise intranet audit and traceability system
Insight MIT System Business White Paper
(In-depth version of aggregated search)
Insight Eye MIT System White Paper/ Page 01
1. Executive Summary
In the deep water area of enterprise digital transformation, "full-dimensional audit" has become the standard for intranet security. However, as the number of terminals increases, enterprises fall into a new dilemma: The more complete the record, the more difficult it is to use. Faced with tens of millions of audit logs every day, the traditional "module-by-module search" model is no longer able to cope with sudden security incidents with vague clues.
Insight Eye MIT System The logic of intranet auditing has been redefined. We not only provide monitoring, but also provide a set of Search Engine Based Intelligent traceability platform. This white paper will focus on how to pass X2 aggregate search module , without presetting keywords, it helps security managers lock clues in seconds from billions of data, achieving a leap from "passive storage" to "active intelligence".
2. Industry pain point: the “scale trap” of audit data”
2.1 Data inflation and “finding the needle in the haystack””
Many companies believe that the core of the audit system is "all-in": more than ten types of data such as Web, IM, email, files, USB, etc. must be covered. But when "completeness" meets "quantity", the change in quantity leads to a qualitative disaster.
Conservative estimate: Even if one terminal only generates 300 records per day, for an enterprise with 500 terminals:
150,000Daily new records
4.5 millionNew records per month
13.5 millionQuarterly cumulative record
2.2 Natural bottlenecks of traditional retrieval technology
Most traditional audit systems are based on relational databases (such as SQL Server/MySQL). This type of database is good at structured storage, but has disadvantages when facing "unstructured content retrieval":
- Low efficiency: When performing fuzzy queries on tens of millions of data, the response is extremely slow.
- Feeling of fragmentation: The data is scattered in different tables, and the administrator needs to open the "Mail", "File" and "Chat" modules respectively to check repeatedly.
- The chain of evidence is broken: It is impossible to visually display the flow path of a clue between different channels.
2.3 “Fuzzy clues in real scenes””
When security incidents occur, clues are often non-standardized. The administrator may only receive a string of Leaked mobile phone number ,one Project code , or even a Blurry screenshot . The real problem faced at this time is: "I don't know which channel it was leaked from. I only have this clue. How can I find it?" ”
Insight Eye MIT System White Paper/ Page 02
3. Core Solution (The Solution)
Insight Eye MIT system breaks the traditional logic of "guess the channel first, then check the log" and establishes “Search is the entrance” new interaction mode. We use a search engine-level big data base to replace traditional databases, and use a distributed cluster architecture to ensure that the system can still maintain millisecond-level response speeds when faced with hundreds of millions of records.
4. In-depth analysis: X2 aggregate search—the “intelligent brain” of the audit system”
This is the core competitiveness of the Insight Eye MIT system that distinguishes it from 90% of audit products on the market.
4.1 Subversive investigation process: Take “mobile phone number leakage” as an example
❌ Traditional mode (time-consuming and easy to leak)
1. Guess it may be in the email -> open the email module -> search for mobile phone number -> no result
2. Guess it is in WeChat -> open the IM module -> search for mobile phone number -> turn the page to find...
3. The guess is in the file...
result: Like a headless fly, missing the best time to collect evidence.
✅ Insightful eye mode (second-level positioning)
1. Search directly: Enter your mobile phone number in the aggregation box (no preset conditions).
2. Panoramic presentation: Instantly return all records of this number in Web, email, IM, documents and even screenshots.
3. Lock down the truth: The system automatically converges the scope and locks the "first appearance of the terminal" and the "critical time window".
4.2 Core technology advantages
A. Search engine level base + distributed architecture
- For massive amounts: Designed specifically for unstructured data, the indexing efficiency far exceeds traditional SQL.
- Extremely fast response: Regardless of whether there are millions or tens of millions of data, the retrieval experience is always smooth, shortening the troubleshooting time from "hours" to "minutes".
B. No need to preset keywords (Unknown Threat Detection)
- Facing the unknown: Traditional DLP requires preset policies to alert the police. But real leaks tend to be random (like a curse word).
- Backtrack at any time: Allows you to enter any keywords of interest at any time after the event occurs and review all past historical records.
C. From "Search field" to "Search content" (Content-Aware Search)
Not only can you search for file names, but you can also "see through" file contents. Even if the employee renames "Sales Contract.docx" to "Review Materials.docx", the terms of the contract can still be found.
> Calling OCR engine...
> Identify image content: Found "CONFIDENTIAL" tag
> Associated record: User_A sent a WeChat screenshot containing this text at 10:20.
Insight Eye MIT System White Paper/ Page 03
D. Cutting-edge capabilities: Image-Based Search
This is a major breakthrough in the field of auditing. In many cases, the clue itself is a picture (and the picture may have no or obscured text).
- Function: The administrator uploads a leaked picture (such as a screenshot of a design drawing), and the system uses computer vision algorithms to reversely search for similar pictures in historical screen recordings, chat pictures, and outgoing files.
- significance: Incorporating "picture clues" into the same investigation process as text clues has made up for the last shortcoming.
5. Overview of basic system capabilities
In addition to powerful aggregated search, Insight Eye MIT system still has solid terminal management and control capabilities, building a "prevention-control-investigation" closed loop:
- Full-dimensional behavior record: Screen recording, IM chat, web browsing, application running, USB disk operation, etc.
- Peripheral control: Register unauthorized USB flash drives and Bluetooth devices.
- Sensitive content blocking: Automatically block files or messages containing sensitive words when sent.
- Watermark deterrence: The screen and printed documents are forcibly covered with watermarks to deter the behavior of taking pictures.
- Human effectiveness analysis: Automatically generate employee time utilization reports to identify "fishing" and inefficient behaviors.
6. Conclusion and value (Conclusion)
The ultimate goal of enterprise security construction is not to "stack data" but to "control the truth."
Insight Eye MIT system solves the problem of massive audit environment by introducing aggregate search technology. “Unable to check, cannot check accurately, cannot check completely” of chronic illness. It allows the audit system to evolve from a passive "black box" to a security intelligence center within the enterprise that can not only defend against risks, but also proactively discover problems and efficiently restore the truth.
- To the boss: Protect core assets and quantify employee efficiency.
- To the person responsible for IT/security: Say goodbye to inefficient human flesh investigation and use technical means to solve complex evidence collection problems.
Don’t wait for a clue to appear, only to find that the tools you have cannot use it to find the truth.
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