Analyze browser extension code to uncover hidden risks.

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April 17, 2026

Koi

AI security

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Analyze browser extension code to uncover hidden risks.

Browser Extension Analysis Security Risk Assessment Software Inspection Detailed Software Insights Supply Chain Vulnerabilities

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Overview

Koi is a tool that provides comprehensive risk analysis for browser extension security. It explores the code of browser extensions to identify hidden behavioral patterns, supply-chain vulnerabilities, and broader security implications beyond permissions.

The AI-driven platform operates on a preventive policy module, aiming to minimize marketplace risks. Its core feature, 'Wings', functions as an LLM-first risk engine that assesses endpoint software, giving detailed insights on its functionality, the publisher, and composition.

The tool regularly scans software marketplaces, app stores, and registries to fetch updated information on new software. It examines not just the declared functionality, but also the actual code behind the software, enabling a comparison between promised and actual functionality.

Furthermore, 'Wings' scores the risk associated with the software based upon the indicators detected and updates these scores with software changes and new versions.

This tool is beneficial for security, IT, GRC, and SOC teams requiring critical risk data in their operations. Kois risk engine equips organizations with extensive data about the software, including details about the publisher profile, softwares functionalities, applied vulnerabilities, breach intelligence, and compliance data.

This allows them to make data-driven decisions on endpoint security.

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Initial release

September 11, 2025

Initial release of Koi.

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Pros and Cons

Pros

Comprehensive risk analysis

Browser extension security

Identifies hidden behavioral patterns

Detects supply-chain vulnerabilities

Evaluates security implications

Preventive policy module

'Wings' risk engine

Assesses endpoint software

Detailed functionality insights

Scans software marketplaces

Checks app stores and registries

Updates on new software

Examines declared and actual functionality

Updates risk scores

Beneficial for IT, GRC, SOC teams

Extensive software data

Publisher profile analysis

Identifies applied vulnerabilities

Provides breach intelligence

Generates compliance data

Supports data-driven decisions

Enables endpoint security

LLM-first risk engine

Continuous marketplace scanning

Comparative code analysis

Publisher intelligence

Dynamic analysis on actual code

Software change responsive

Connected to outside world

Provides software categories, history

Populates vulnerabilities, capabilities insights

License and compliance information

View 27 more pros

Cons

No mobile application support

Only browser extension focused

Does not support non-browser software

Limited information on data privacy

Lacks real-time risk notifications

No multilingual support

No indication of integration capabilities

No offline mode available

Inadequate publisher profile analysis

View 4 more cons

Q&A

What is Koi?

Koi is a comprehensive risk analysis tool specializing in browser extension security. It utilizes AI to explore, analyze, and understand the code of browser extensions, aiming to identify behavioral patterns, supply-chain vulnerabilities, and security implications beyond the permission sets.

What are the key features of Koi?

Key features of Koi include the 'Wings' LLM-first risk engine, proactive scanning of software marketplaces, app stores, and registries, analysis of actual code behind software, comparison between declared and actual software functionality, risk scoring, and facilitating data-driven decisions by providing extensive data about the software under inspection.

How does Koi's 'Wings' feature work?

'Wings' is Koi's LLM-first risk engine feature. It reads the code of non-binary software on the endpoint, providing information on what the software was actually programmed to do. It proactively scans marketplaces, app stores, and registries for new software, assesses the publisher based on their online presence and cross-marketplace reputation, compares the actual software with its declared functionality and assigns a risk score based on detected indicators.

Who can benefit from using Koi?

Security professionals, IT, GRC (Governance, Risk and Compliance), and SOC (Security Operations Centre) teams can benefit from using Koi. These teams often require critical risk data in their operations and Koi's extensive data about the software contributes key information for decision-making on endpoint security.

What does Koi's preventive policy module do?

Koi's preventive policy module minimizes marketplace risks by tracking, governing, and enabling software installs across all endpoints. It aids in the discovery and governance of all software, both binary and non-binary.

How does Koi's AI analyze a software's code?

Koi's AI analyzes a software's code through a combination of AI and LLMs (Low-Level Matchers). It reads and examines the software's code, providing insights into its intended functionality.

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What kind of information does Koi provide about the software it evaluates?

Koi provides extensive details about the software it evaluates including information about its functionality, the publisher, and composition. It also identifies vulnerabilities, presents breach intelligence and gives compliance data. Basically, it provides all crucial risk data needed for security, IT, GRC, or SOC teams.

What does Koi's risk scoring capability entail?

Koi's risk scoring capability involves assigning a risk score to software based on detected indicators. These scores are dynamic and updated with every new software version or change detected.

In what ways does Koi support data-driven decision making?

By providing extensive and specific data about the software, including its functionalities, the publisher profile, and breach intelligence, Koi supports data-driven decision making. The risk score assigned to the software, reflecting the measured risk, further aids this purpose.

How does Koi help with endpoint security?

Koi aids in endpoint security by analyzing and providing insights on endpoint software. By leveraging it's 'Wings' feature, it proactively scans for new software in marketplaces, app stores, and registries, assesses the software, and provides a risk score based on detected vulnerability indicators.

What kind of vulnerabilities can Koi identify?

Koi can identify a wide range of vulnerabilities in software codes, from hidden behavioral patterns to supply-chain vulnerabilities that could pose security risks beyond the software permissions.

How does Koi's breach intelligence work?

Koi's breach intelligence feature works by researching software online. The AI agents search for pertinent information such as categories, history, known vulnerabilities, capability insights to enrich the software data, aiding in governance using actionable data.

What compliance data does Koi provide?

Koi provides compliance information in terms of license & compliance data associated with software. This helps teams understand regulatory compliance attached to the software.

How regularly does Koi scan software marketplaces and app stores for updated information?

Koi regularly scans software marketplaces, app stores, and registries to fetch up-to-date information on new software. However, the exact frequency of these scans isn't specified on their website.

What is the difference between declared functionality and actual functionality as examined by Koi?

Declared functionality is what the software is presented or marketed as being able to do. Actual functionality, as examined by Koi, is about what the software is programmed and can actually do as revealed by its actual code. Koi serves to identify discrepancies between these two, indicative of possible risks or malintent.

How does Koi's software inspection method work?

Koi's software inspection method involves the use of AI, and LLMs to critically examine the software at the code level. It not just assesses the declared functionality, but delves deeper to understand the actual code behind the software. Moreover, it factors in the software's runtime behavior, captures network and endpoint activity, contributing further to the risk assessment.

What does Koi's publisher profile analysis involve?

Koi's publisher profile analysis involves assessing the publisher based on their online presence, geographical region, reputation across multiple marketplaces, and open-source knowledge. It provides a comprehensive view of the publisher, thereby aiding risk assessment.

How does Koi aid in risk assessment of browser extension security?

Koi aids in risk assessment of browser extension security by giving detailed insights about the browser extension, including functionality, the publisher, and composition. It analyses the actual code, identifies potential risk indicators, assigns a risk score, and updates these scores with changes and new versions of the extension.

How does Koi uncover hidden risks in browser extension code?

To uncover hidden risks in browser extension codes, Koi comprehensively analyses the code behind extensions. It not just considers the declared functionality, but scrutinizes the actual code to identify hidden behavioral patterns, supply-chain vulnerabilities, and broader security implications.

What are supply-chain vulnerabilities and how does Koi identify them?

Supply-chain vulnerabilities refer to potential risks that occur within the extensions' code, its dependant libraries or software components it relies on. These vulnerabilities can result in security breaches and unauthorized accesses. Koi identifies such vulnerabilities by analyzing the browser extension's code thoroughly, and running comparisons between the promised functionality and the actual functionality as indicated by the code itself.

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