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Get Comprehensive Visibility into AWS, Azure, and GCP

Instant-on, workload-level visibility—without agents 

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Shared Responsibility Model

Shared Responsibility Model

 Cloud service providers adhere to a shared security responsibility model, which means your security team maintains some responsibilities for security as you move applications, data, containers, and workloads to the cloud, while the provider takes some responsibility, but not all. Defining the line between your responsibilities and those of your providers is imperative for reducing the Risk of introducing vulnerabilities into your public, hybrid, and multi-cloud environments  

Cloud Security & Compliance Management

Cloud is the preferred solution for data storage, infrastructure and services on demand today. Most enterprises migrate to the Cloud following different models as alternatives; Public, Private or Hybrid and also service models of choice SaaS, IaaS or PaaS.


The vulnerabilities faced by the data stored on the Cloud or applications hosted there are self-explanatory, justifying the increasing importance of the penetration testing of cloud based applications, services and infrastructure. With a increasing number of enterprises migrating to the Cloud, the chances of breaches, threats and vulnerabilities increase day by day. Enterprises face unique challenges in protecting their resources over the various models of the Cloud.

 

Cloud security & compliance management comes with a unique challenge. The test strategy changes if the testing is to be done for the cloud service provider versus the Tenant. Since a Cloud is essentially a multi-tenant model; when the Cloud testing needs to be done for a particular tenant, it should avoid putting others at unease and also be conducted within the legal limits.

 

Cloud Security Essentials:


  • Combination of identities - Humans & Machines in the Cloud
    • Saas 
    • IaaS


  • Multi-Cloud Posture through {Single Pane of glass}

 

  • Tailored for Cloud Environments {IAAS, SAAS}
    • Configuration Hardening
    • Data Protection
    • Identity Access Management
    • Cloud Visibility and Discrepancy Detections


  • Niche features
    • Contextually Assess, Detect & Remediation of vulnerabilities
    • Hyper automation for plugging security holes
    • Compliance check against global standards & benchmarks like CIS, NIST, CCM, GDPR, PIC etc.
    • Zero Trust Access through least privilege roles/permissions


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Why CyberQ Shield?

CyberQ Shield uniquely solves the cloud security problem by automatically identifying and remediating misconfigurations & vulnerabilities in the multi cloud environment

Key Features

Compliance Management

Compliance Management

Compliance Management

CyberQ Shield assesses enterprises cloud resources for policy violations with in-built security rules based on  CIS AWS foundation benchmark, ATT&CK, ISO 27001, NIST 800-53, NIST CSF, CSA-CCM, AWAF etc. 

Fix Misconfigurations

Compliance Management

Compliance Management

Remediation steps for each and every security policy and auto-remediation for a subset of the most critical security policies can be applied with audit and reference along with historical analytics and reporting

Cloud Inventory

Compliance Management

Cloud Inventory

CyberQ Shield delivers comprehensive visibility and control over the security of every asset deployed within the cloud environment and historical trends

Agentless

Identity Anomaly Detection

Cloud Inventory

CyberQ Shield is built on a novel approach which enable the identification of misconfigurations & vulnerabilities in cloud environments and helps meet compliance mandates without installing an agent

IaC scanning

Identity Anomaly Detection

Identity Anomaly Detection

CyberQ Shield is built on shift-left approach to scan IaC templates for misconfigurations & vulnerabilities which enables discovery of threats both at the time of build and runtime

Identity Anomaly Detection

Identity Anomaly Detection

Identity Anomaly Detection

CyberQ Shield monitors cloud environments for unusual identity behavior and can detect unusual activities by human and machine identities and provide recommendation for over privileged accesses as enabled

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