Koi

Koi Overview

What is Koi?

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. Help other people by letting them know if this AI was useful. Add your own prompts and outputs to help others understand how to use this AI.

A Professional Framework to Evaluate Koi

When considering Koi for integration into your organizational workflow, we recommend deploying a structured score card across three critical operational pillars: Security & Compliance, Integration Friction, and long-term Price Scalability. Rather than looking only at basic feature lists, modern procurement teams must assess how a software platform behaves under high load and how well it fits into the team's data security guidelines.

1. Security and Database Compliance

Depending on your operating region and field, ensure that Koi supports standard security layers such as SOC 2 Type II certifications, GDPR compliance, or HIPAA-compliant database encryption. If the tool connects directly to client database tables or handles user passwords, verify that they implement multi-factor authentication (MFA), single sign-on (SSO) integrations, and end-to-end data encryption in transit and at rest.

2. API Coverage and Custom Integrations

Siloed data is the primary cause of operational friction. Evaluate if Koi has native connectors for your current project trackers, messaging hubs, and customer communication channels. For custom developer requirements, check if they provide a fully documented REST API with reasonable rate limits, comprehensive Webhooks support, and robust SDK packages in your language. A flexible API layer saves hundreds of hours of manual copy-paste overhead.

3. Total Cost of Ownership (TCO)

SaaS pricing packages are often deceptively simple. When reviewing Koi's billing structure, map out your team's projected expansion over the next 12 to 24 months. Determine how costs scale as your customer database increases or as you add team members. Factor in setup costs, mandatory support plan upgrades, API access fees, and storage overage rates to understand the true cost before committing to a contract.

By combining verified user reviews from our directory with internal workflow pilot tests, your procurement team can make an informed decision that drives productivity without creating capital waste.

Features of Koi

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

Pricing

Where can Koi be deployed?

• Cloud, SaaS, Web-Based