Mikyal provides an AI-native malware analysis lab that security teams deploy within their own infrastructure, enabling in-house investigation of suspicious files while retaining control over data and investigative context. The platform integrates with existing SIEM, SOAR, endpoint, and threat intelligence tools, and is tailored for high-risk sectors like banking, payment processing, telecommunications, and energy utilities.
Funding
Funding not disclosed
Founders
Product
Problem
Security teams in high-risk industries often rely on external malware analysis platforms, which can expose sensitive data, slow down investigations, and limit the ability to incorporate organization-specific context. This dependency creates friction between the need for fast, detailed malware investigation and the requirement to maintain strict control over data, environments, and intelligence outputs.
Solution
Mikyal builds and deploys a dedicated, AI-native malware analysis lab within an organization's own environment, designed around its existing security operations, workflows, and infrastructure. The lab provides an isolated environment for analyzing suspicious files, applies AI across technical evidence and organizational security context, and connects findings directly into systems like SIEM, SOAR, threat intelligence, ticketing, and detection workflows. This approach enables security teams to conduct advanced malware analysis in-house, retaining full control over the data, environment, and investigative context while integrating seamlessly with their current tooling.
Target Audience
Primary customers are security operations, DFIR, and threat intelligence teams in high-risk industries such as banking, payment processing, telecommunications, and energy utilities that require fast, controlled, and context-rich malware investigations.
Features
- Dedicated, isolated malware analysis environment that runs separately from the organization's production systems
- AI-driven analysis that incorporates both technical evidence and the organization's own security context and intelligence
- Native integrations with SIEM, SOAR, endpoint, threat intelligence, ticketing, and detection workflows
- Deployment tailored to the organization's infrastructure, data requirements, and security policies
- Designed for high-risk sectors including banking, payment processors, telecommunications, and energy utilities