AI-Powered leap forward in security benchmark remediation

Modern security teams drown in scan results that arrive in dozens of formats, each demanding manual effort before any real fixing can begin. RemediateIQ reframes that pain point as an opportunity: a single, intelligent orchestration layer that ingests any benchmark output, reasons over it with deep AI, and drives every remediation task through to closure.

Currently in Development: We're in the early phase of transforming this concept into a working product, with plans to offer RemediateIQ as either a fully managed SaaS or a self hosted deployment, whichever fits your needs.

Why RemediateIQ Matters

  • Universal intake – PDFs, XML, JSON, CSV or proprietary exports all land in one pipeline and are normalised by an NLP engine
  • Context-aware risk scoring – Dynamic AI models blend CVSS, EPSS, KEV data, asset criticality and live threat intel
  • Actionable guidance, not just alerts – Large-language models generate concrete, environment-specific fix instructions
  • Dependency-smart scheduling – Graph analysis uncovers patch order, service impacts and maintenance-window clashes
  • C-suite clarity – Dashboards translate technical progress into measurable risk-reduction and estimated dollar exposure saved

Product Showcase

These are early concept screenshots that illustrate how the platform might look. The final product may differ, though our goal is for it to be even more refined and visually polished.

How It Works

  1. Ingest any benchmark report through API, file drop or email
  2. Normalise with AI/NLP into a unified data model
  3. Analyse for contextual risk, remediation type and effort estimate
  4. Plan an optimised schedule that respects dependencies and resource limits
  5. Orchestrate tasks through automated workflows, integrating with ITSM tools
  6. Report continuously on progress, compliance and quantified risk reduction