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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.

Newport Beach, United States · HQ
Founded 2025210+ followers
  • Artificial Intelligence
  • Cybersecurity
  • Industrial Automation
  • Software Only
Updated 10 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

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
This profile is AI-generated and may contain inaccuracies.