Comprehensive Comparison Overview
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Management Mode | Decentralized management via multiple consoles | Centralized management via a unified platform |
Asset coverage | Primarily focused on hosts/networks | Full coverage of hosts + containers + AI assets + cloud products |
Protection Stage | Single-phase with limited coverage | Prevention, detection, and response across the entire lifecycle |
Shift Security Left | Not supported. | CI/CD, IaC, and container image security |
Deployment Complexity | Independent deployment and maintenance for multiple products | Cloud-native SaaS with a lightweight Agent |
Compliance Support | Evidence collection across disparate systems, resulting in low efficiency. | One-click compliance check |
Operations Threshold | Reliant on a large amount of specialized manpower. | Reduces operational costs |
Event Correlation | Lack of cross-product correlation analysis. | Unified alarm center |
New Asset Types | Limited coverage capability | AI assets and native Kubernetes support |
Strength One: Unified Platform, Breaking Down Security Silos
Issues with Traditional Point Products
Enterprises typically procure multiple independent security products. These products are deployed and managed separately, resulting in isolated data that cannot be shared. Consequently, security teams must frequently switch between multiple consoles. Assets, events, and policies cannot be correlated, leading to numerous security silos and an invisible overall security posture.
CSC Approach
Centered on the Unified Asset Foundation, the platform integrates hosts, containers, AI assets, and cloud products for centralized management. A single console provides visibility into the security status of all assets across the network. Vulnerabilities, alarms, and baseline issues are aggregated and displayed within the same platform, eliminating security silos.
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Number of consoles | Multiple independent consoles for different products | A unified console |
Asset Management | Decentralized and fragmented | Unified management of hosts/containers/AI assets/cloud products |
Security Situation | No global view | A unified security health score |
Policy Management | Independent configuration for each product | A unified protection configuration center |
Strength Two: Full Lifecycle Coverage, Building a Defense-in-Depth Strategy
Issues with Traditional Point Products
Point security products typically cover only a single link in the security chain. For example, a firewall only provides perimeter protection, and vulnerability scanning only performs preemptive detection. This results in a lack of comprehensive coverage from "prevention to response". Once an attack breaches a single layer of defense, it can penetrate deeply without further obstruction.
CSC Approach
Centered on the "Prevention → Detection → Response" security lifecycle as the core framework, the three stages are seamlessly connected:
Preventive Measures (Risk Governance)
└─ Vulnerability Governance / Cloud Security Posture / Compliance Baseline / Image Risk / Data Security Posture
↓
Detection and Response (Detection and Response)
└─ Alert Center (Host Intrusion Detection / Container Intrusion Detection / APIServer Exception Detection, and so on)
↓
Post-Incident Forensics (Security Operations)
└─ Log Analysis
Point security products can only address issues within a single stage, whereas Tencent CSC enables the three stages to form a complete closed loop.
Strength Three: Shifting Security Left, Eliminating Risks at the Budding Stage
Issues with Traditional Point Products
Traditional security tools primarily focus on "post-incident remediation", meaning they can only detect and respond after an event occurs. Security risks present in R&D-delivered images, code, and infrastructure configurations are often only discovered after deployment, resulting in extremely high remediation costs.
CSC Approach
Shift security capabilities to the R&D side to achieve true R&D security operations (DevSecOps):
Container Image Scanning: Checks for vulnerabilities, malicious samples, and sensitive data before images are stored in the repository and deployed.
CI/CD Pipeline Integration: Embeds security scanning into the R&D build process, triggering a security scan upon code commit.
IaC Security Check: Performs security scans on infrastructure-as-code (IaC) and similar code to prevent misconfigurations from being introduced into production.
Snapshot Offline Scanning: Performs vulnerability, baseline checks, and sensitive data detection on cloud host snapshots to achieve offline assessment without impacting business operations.
Traditional tools can only detect issues during runtime, whereas Tencent CSC can intervene at the code, image, and configuration stages to reduce remediation costs.
Strength Four: Deep Cloud-Native Integration, Ready to Use Out of the Box
Issues with Traditional Point Products
Traditional security products mostly adopt a "lift-and-shift to cloud" architecture, resulting in low (or insufficient) coupling with cloud infrastructure. This necessitates cumbersome manual asset configuration, agent edition maintenance, and TencentCloud API integration, leading to high Ops complexity. Newly added assets often cannot be automatically managed, creating asset blind spots.
CSC Approach
As a Tencent Cloud Native product, it is deeply integrated with cloud infrastructure, specifically including:
Automatic Asset Synchronization: Automatically detects the addition/release of cloud resources and updates the asset ledger in real time.
Multi-Cloud Unified Access: Enables unified management of multi-cloud accounts and assets with a single click through the access management feature in system settings.
No Hardware Dependency: CWPP is deployed via a lightweight agent, while its other capabilities are provided as SaaS services, eliminating the need for additional hardware procurement.
Integrated Response: Deeply integrates with Tencent Cloud products such as VPC, CVM, TKE, and Security Groups to achieve an automated closed loop from alarm to remediation.
Strength Five: Covering Emerging Assets, Addressing Security Threats in the AI Era
Issues with Traditional Point Products
Traditional security products are designed with a focus on VMs and Web applications, lacking native support for new cloud-native assets such as containers, Kubernetes, AI Agents, and large model inference services. This results in significant gaps in protection coverage.
CSC Approach
Building upon traditional asset protection, it is the first to cover new asset security in the AI era:
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AI Assets | Specialized asset visibility and risk identification for AI Agents and inference services |
AI Agent Security | Specialized risk governance capability module for AI agents |
Containers and Kubernetes | End-to-end protection across images, clusters, and runtime environments |
TencentCloud API | API exposure surface identification, authentication risk detection, and sensitive data leakage detection |
Data security | Data asset sorting out and data security posture (DSPM) management |
Strength Six: Compliance Checks Ready to Use Out of the Box
Issues with Traditional Point Products
Center for Internet Security (CIS) and industry regulatory requirements span multiple security domains such as network, host, and data. When point products are used, evidence must be collected separately across multiple systems, making compliance reviews time-consuming and labor-intensive, and it is difficult to form a complete chain of evidence.
CSC Approach
Unified management of all security domains, with built-in compliance check baselines and audit capabilities:
Center for Internet Security (CIS) Compliance Baseline: Covers core inspection items such as host configuration, network access control, and vulnerability management.
Cloud Product Security Configuration Check: Automatically checks for cloud product misconfigurations and compliance gaps through the CSPM module.
Complete Log Retention: Logs of all types, including host and container logs, are uniformly retained, supporting log auditing and tracing as required by regulations.