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Tensor Security

About Tensor Security

Tensor Security provides an AI-powered cloud security platform designed to secure the entire software development lifecycle from code creation to cloud deployment. Their solutions address complex security challenges in hybrid and multi-cloud environments by integrating continuous risk detection, automated remediation, and zero trust micro-segmentation. The platform leverages advanced technologies such as graph-based attack tracing, big data correlation, and eBPF-based kernel-level data collection to deliver comprehensive visibility and rapid response capabilities.

Targeted at large enterprises managing cloud-native applications and multi-cloud infrastructures, Tensor Security’s offerings enable unified security management across CI/CD pipelines, container runtimes, cloud hosts, and privileged accounts. The platform supports diverse operating systems and CPU architectures, ensuring compatibility with domestic and international cloud environments. By automating security operations and reducing manual labor through AI, Tensor Security helps organizations improve their security posture while minimizing operational friction and accelerating incident detection and response.

How to evaluate Cloud Security & CSPM

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Tensor Security. It comes from our Cloud Security Posture Management (CSPM) buyer guide.

25%
Risk Prioritization & Attack-Path Analysis
Context graph that correlates misconfiguration, internet reachability, identity/permissions, vulnerabilities, secrets, and data sensitivity into ranked attack paths to crown-jewel assets; toxic-combination detection; quality of the “fix these 10” output versus raw finding volume; false-positive rate in your own accounts
20%
Coverage Model: Agentless Breadth vs. Runtime Depth
Agentless snapshot/API scanning for fast 100%-estate visibility versus agent/eBPF runtime for in-production threat detection (CDR); container, serverless, and Kubernetes (KSPM) coverage; how the two models combine without double-counting; performance impact and deployment friction
20%
Multi-Cloud & Platform Consolidation (CNAPP)
Depth and parity across AWS, Azure, GCP, OCI, and Kubernetes from one console; how many of CSPM, CIEM, CWPP, DSPM, KSPM, and code/IaC security are genuinely unified on one data model versus bolted-on acquisitions; single policy and one risk score across domains
15%
Identity & Entitlements (CIEM)
Effective-permission analysis across human and machine identities, cross-account and federated role mapping, detection of unused and over-privileged entitlements, least-privilege right-sizing recommendations, and privilege escalation / lateral-movement path discovery
10%
Remediation, Automation & Developer Workflow
Guided and auto-remediation, IaC and pull-request fixes (shift-left to code), guardrails that prevent drift, ticketing/SOAR integration, ownership routing to the right team, and API/Terraform coverage for security-as-code
10%
Compliance, Reporting & SOC Integration
Out-of-the-box frameworks (CIS, PCI DSS, HIPAA, SOC 2, FedRAMP, NIST) with custom policy authoring, audit-ready evidence and drift history, RBAC/SSO on the console, and clean export of correlated cloud risk into the SIEM/SOC rather than a siloed dashboard

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Quick Facts

www.tensorsecurity.cn
FoundedNot on file
HeadquartersNot on file

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