Cofide provides a platform that automatically discovers and inventories machine identities across multi‑cloud, Kubernetes, and AI model registries, then secures them through automated credential rotation, policy‑driven access controls, and real‑time anomaly detection. The solution integrates with native cloud IAM services and CI/CD pipelines, delivering continuous compliance reporting and a centralized dashboard for governance and incident response.
Funding
Funding not disclosed

Founders
Product
Problem
Enterprises deploying cloud‑native and AI workloads generate thousands of machine identities (Non‑Human Identities, NHIs) that are often unmanaged, lacking visibility, automated lifecycle control, and governance. This unmanaged sprawl creates misconfigurations and privileged‑access breaches, representing a critical but overlooked IAM risk.
Solution
Cofide delivers a unified platform that discovers, inventories, and secures NHIs across multi‑cloud and AI environments. It automates credential rotation, enforces policy‑driven access controls, and provides continuous compliance reporting. The service integrates with native cloud IAM services and CI/CD pipelines to embed identity hygiene into development workflows. Real‑time risk scoring and anomaly detection surface misconfigurations before they can be exploited. A centralized dashboard gives security and DevOps teams actionable insights and audit trails for governance and incident response.
Target Audience
The primary customers are enterprise security, cloud operations, and DevOps teams that manage large volumes of machine identities in multi‑cloud and AI‑centric infrastructures.
Features
- Automated discovery of machine identities across AWS, Azure, GCP, Kubernetes, and AI model registries
- Credential lifecycle automation with scheduled rotation, revocation, and secret injection into runtime environments
- Policy engine that enforces least‑privilege rules and supports role‑based access control for NHIs
- Native integrations with CI/CD tools (Jenkins, GitHub Actions, GitLab) for seamless secret management during deployments
- Continuous compliance monitoring with exportable audit logs and pre‑built reports for standards such as SOC 2, ISO 27001, and PCI‑DSS
- Machine‑learning‑based anomaly detection that flags abnormal credential usage or privilege escalation attempts
- RESTful API and SDKs for custom orchestration and integration with existing security information and event management (SIEM) systems
- Role‑based governance console offering granular visibility, approval workflows, and incident response playbooks