OpsMx offers an AI‑driven security remediation platform that automatically detects and fixes vulnerabilities across code, open‑source dependencies, infrastructure‑as‑code, and cloud resources within the developer workflow. Its unified knowledge graph and AI agents provide real‑time risk assessment, prioritization, policy enforcement, and continuous supply‑chain compliance for both traditional and AI‑generated software.
Funding
$22M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CVFounders
Product
Problem
Software development teams face fragmented security tooling that requires manual effort to detect and remediate vulnerabilities across code, dependencies, infrastructure-as-code, and cloud environments. This fragmentation leads to delayed fixes, inconsistent compliance, and increased risk from supply chain attacks and AI model misuse.
Solution
OpsMx provides an AI-driven security remediation platform that integrates directly into the developer workflow to automatically identify and fix vulnerabilities in code, open-source components, IaC configurations, and cloud resources. A unified knowledge graph links security and compliance data across the entire software stack, enabling real-time risk assessment, prioritization, and policy enforcement. AI agents automate onboarding, diagnostics, remediation, and compliance actions, delivering machine-speed fixes for both traditional and AI-generated software. The platform also generates software and AI bill-of-materials (SBOMs/BOMs) and offers continuous policy enforcement to ensure supply chain integrity. Integrations with CI/CD, cloud, security, observability, and collaboration tools consolidate execution context, making remediation decisions transparent and auditable.
Target Audience
Primary customers are enterprise software development and DevSecOps teams that need automated, end-to-end security and compliance across code, cloud infrastructure, and AI workloads.
Features
- Automated detection and remediation of vulnerabilities in code, dependencies, IaC, and cloud configurations within the developer pipeline
- Unified context engine that creates a living knowledge graph linking code, tickets, documentation, and runtime behavior for comprehensive risk insight
- AI agents that perform continuous onboarding, diagnostics, remediation, compliance checks, and deployment automation
- Generation of SBOMs and AI BOMs with continuous policy enforcement for supply chain compliance
- Seamless integration with CI/CD, cloud platforms, security scanners, observability tools, and collaboration systems via a single indexing layer
- Real-time risk assessment, prioritization, and policy enforcement across the entire software lifecycle