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Environments

Defend any production environment with unified identity intelligence

ClearVector seamlessly connects activity across AWS, GCP, GitHub, and Kubernetes environments, providing a unified solution for your entire production infrastructure. While other tools create silos between cloud service providers and workload types, we track identities as they move across platforms - from a GitHub PR approval to AWS Lambda execution to container runtime activity - giving you the complete story of who did what. This unified approach means faster detection, simpler investigations, and the ability to stop the adversary regardless of where they operate in your stack.

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AWS

  • Unified detection and response for AWS
  • Detection across control plane and workloads
    • Detect and stop adversaries within seconds to minutes across the AWS control plane, inside of workloads such as EC2 and Lambda, and inside of data stores such as S3 and RDS, all with unified visibility across all accounts and regions.
  • One-click identity isolation
    • Instantly isolate compromised IAM users, IAM Identity Center accounts, S3 buckets, Lambda functions, and ECR images to prevent further damage while you investigate.
  • Complete identity attribution
    • Track all activity back to the originating human, non-human, or third-party identity, even through complex role assumptions across many accounts.
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GCP

  • Unified detection and response for GCP
  • Detection across control plane and workloads
    • Detect and stop adversaries within seconds to minutes across the GCP control plane, inside of workloads such as Compute Engine, all with unified visibility across all accounts and regions.
  • Complete identity attribution
    • Track all activity back to the originating human, non-human, or third-party identity, even through complex service account relationships across many projects.
  • Organization level deployment in minutes
    • Deploy ClearVector across your entire GCP organization with a single service account and log sink configuration, automatically discovering and monitoring all projects, service accounts, and resources without per-project setup.
  • Detection of lateral movement - Identify when service accounts create new roles, add permissions, or establish persistence mechanisms across your GCP projects
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GitHub

  • Bridge the gap between code and cloud with identity intelligence
  • End-to-end identity attribution
    • Track activity from GitHub pull request approvals through CI/CD pipelines to changes in your AWS or GCP environments, knowing exactly who initiated what.
  • Compromised identities or supply chain attack detection
    • Detect when compromised developer credentials or malicious code changes result in unauthorized cloud infrastructure modifications.
  • Unified DevOps security
    • Connect GitHub Actions, workflows, and developer identities to their downstream impact on production environments for complete visibility
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Kubernetes, container runtimes, and VM’s

  • Runtime security that understands container context
  • Container-aware detection
    • Detect malicious activity inside containers with full attribution to the originating pod, image, and container, whether on EKS, ECS, GKE, or bare meta.
  • Identity-driven container isolation
    • Track activity from stolen credentials through container compromise and instantly isolate affected ECR repositories or container images.
  • Complete runtime visibility
    • Monitor interactive commands, processes, network connections, and file activity inside containers while maintaining the link to the human or non-human identity that initiated the activity.

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Every production action, traced to a specific identity

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