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Guarding Containerized Applications: Overview of Rampart™ Container Runtime Security

Picture of Rampart AI™ Team

Rampart-AI™'s Container Runtime Security (CRS) is adept at detecting and mitigating application misbehaviors, ensuring robust protection against potential exploitation. Unlike traditional methods, Rampart CRS operates on behavior-based analysis, offering unparalleled security without relying on prior knowledge of attack vectors or threat signatures.

Introducing Rampart CRS Agent

The Rampart CRS agent serves as a sentinel, continuously monitoring Kubernetes deployments with precision. Here's a glimpse into its capabilities:

  • Attack Surface Exploration: Gain insights into the current and historical attack surface of deployed applications, including CVE analysis down to individual Docker image layers.

  • Real-time Anomaly Detection: Leverage machine learning algorithms to identify abnormal system behaviors, irrespective of specific threat vectors.

  • Telemetry Support: Seamlessly integrate with various telemetry sources to capture and analyze application interactions in real time.

Rampart in Action

Watch the full demo below to witness the Rampart CRS agent in action, safeguarding a Kubernetes deployment of a Quake III Arena stack on AWS EKS. For technical details please refer to our GitHub Repo on quake-formation.

 

Rolling out Rampart CRS Agent

  1. Rolling out the Rampart CRS agent to all the nodes in your cluster can be undertaken with a single command

    download copy

  2. Roll out the demo app
    The containerized version of Quake used in this scenario, will serve clients an experience that closely mirrors the original Quake III Arena desktop application entirely in-browser.

  3. Interact with the Quake endpoint
    The endpoint is exposed to remote clients via an Elastic Load Balancer URL

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Exploring Rampart Use Cases

  1. Operational Attack Surface: Quickly identify and mitigate CVEs in production environments, ensuring timely response to emergent threats.

  2. Bills of Material Management: Simplify management of Docker image bills of material with support for SPDX and CycloneDX formats.

  3. Real-time Anomaly Tracking: Detect and address anomalies using ML-driven event generation, offering contextual and image-oriented views of issues.

  4. And More: Delve deeper into Rampart CRS's extensive capabilities, including DevOps integration, image and application minimization, library scanning, and threat mitigation techniques.

Connect with Rampart-AI™

Ready to fortify your application security with Rampart CRS? Reach out to the Rampart-AI™ team at contact@rampart-ai.com or fill out the form below for comprehensive information on deploying Rampart CRS in your environment.

At Rampart-AI™, we're committed to making software safer and deployment processes smoother. Join us in our mission to safeguard digital assets and mitigate cybersecurity risks effectively.