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Tensor Security

About Tensor Security

Tensor Security provides an AI-driven, code-to-cloud cloud security operations platform. The company describes itself as a new-generation cloud security service provider. The platform is intended to promote security for hybrid cloud and multi-cloud environments. It covers the full CI/CD process to build unified security from code to cloud. It applies zero trust principles of authentication-as-authorization and least privilege to identity management of users, APIs, workloads, and application services. It uses large language models combined with security monitoring points to provide functions such as security knowledge Q&A and automated security orchestration.

Products

  • 领航 · 云原生安全: Builds cloud security observability capability based on cloud-native technology to support an AI-driven code-to-cloud security operations platform.
  • 苇航 · 云安全态势管理: A cloud security posture management platform based on context.
  • 启航 · 零信任微隔离检测平台: A unified zero trust micro-segmentation solution covering east-west and north-south traffic.
  • 云原生特权账号管理: Manages cloud-native accounts across their lifecycle including discovery, custody, password management, distribution, authorization, recovery, deletion, and operation auditing.

Used for

  • Identifying risks in the cloud continuously and automatically
  • Visualizing attack paths based on security context and vulnerability chains
  • Controlling east-west access and segmenting north-south business traffic based on identity
  • Tracing cloud risks back to specific lines of code and developers

From Tensor Security's own website, read 2026-10-24. How we build listings.

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

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

www.tensorsecurity.cn
CategoryCybersecurity
SubcategoryCloud Security & CSPM

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