
inColu
inColu is a risk analysis tool that runs on an intentionally air-gapped LLM within OT environments, converting public vulnerability advisories into focused, actionable next steps. It can automatically file tickets with existing tracking systems and set weekly follow-up validations to ensure risks are fully closed out. The platform is designed to help industrial teams manage cyber risk without exposing sensitive operational data.
- Artificial Intelligence
- Cybersecurity
- Industrial Automation
- Software Only
Funding
Founders
Product
Problem
Operational technology (OT) environments face a constant stream of public vulnerability advisories, but most of this information is noisy, generic, and not tailored to the specific systems and risks present in a given industrial setting. Security teams struggle to separate relevant threats from irrelevant ones, leading to delayed responses and unmanaged risk exposure.
Solution
inColu provides a risk analysis tool that runs on an intentionally air-gapped LLM deployed directly within the customer's OT environment, ensuring sensitive operational data never leaves the facility. The platform ingests public vulnerability advisories and correlates them against the local environment to produce highly focused, actionable risk intelligence. It identifies which vulnerabilities matter, what steps should be taken, and prioritizes next actions based on the specific infrastructure. inColu can automatically file tickets with the customer's favorite tracking system and schedule weekly follow-up validations to confirm that identified risks have been remediated and closed out.
Target Audience
Primary customers are OT security teams and industrial cybersecurity professionals managing operational technology environments in sectors such as manufacturing, energy, and critical infrastructure.
Features
- Air-gapped LLM deployment that operates entirely within the OT environment, eliminating data-exfiltration risks
- Automated ingestion and correlation of public vulnerability advisories against local asset and system context
- Prioritized, environment-specific risk recommendations that reduce noise and focus on actionable next steps
- Native integration with popular ticketing systems for automatic issue creation and assignment
- Scheduled weekly follow-up validations to track remediation progress and confirm risk closure