Intruder Announced the Release of Container Image Scanning

New Capabilities Automatically Scan for Vulnerabilities to Provide Clear, Actionable Insights into Container Risk with out Additional Setup or Configuration

Intruder, a pacesetter in publicity administration, right now introduced the launch of Container Image Scanning — a brand new improve to its cloud safety capabilities that routinely scans container photos for vulnerabilities, granting prospects clear, actionable perception into container danger with out deploying and sustaining scanning brokers throughout their estates.

Leveraging current integrations with main cloud suppliers, Intruder now helps Amazon Web Services Elastic Container Registry, Google Cloud Artifact Registry and Azure Container Registry. New photos and up to date variations are scanned day by day for vulnerabilities, and customers can view ends in a single, prioritized checklist alongside different vulnerabilities, assault floor points and misconfigurations detected by Intruder.

The replace is obtainable for all platform customers throughout Cloud, Pro and Enterprise tiers in addition to in the free trial. New prospects would require extra setup when including cloud integrations. Key advantages embody:

  • No brokers required: Using registry stage integrations with cloud suppliers, prospects gained’t have the operational overhead related to deploying brokers to nodes, sustaining and debugging them.
  • Detection earlier than execution: Unlike agent primarily based approaches, registry stage scanning permits prospects to detect points earlier than the picture runs in manufacturing.
  • Noise discount: Rather than scanning each picture in a registry, Intruder makes use of tags to concentrate on photos which can be truly in use throughout your cloud environments — slicing out noise from previous, unused, or deprecated photos and surfacing solely the dangers that matter.
  • Coverage throughout all environments: Agent-based configurations are generally utilized in environments like Kubernetes, however containers are additionally used throughout many parts in cloud infrastructures, similar to Functions as a Service (AWS Lambdas), Containers as a Service (AWS ECS), or immediately inside digital machines that additionally should be scanned to keep away from dangers.
  • Managed service picture scanning: Coverage extends to photographs deployed to managed container providers, the place prospects don’t have entry to the underlying nodes with these providers and consequently, couldn’t beforehand deploy an agent.

Addressing A Common Exposure Gap in Modern Infrastructures

As half of the wider shift to cloud infrastructures, a big and rising proportion of digital workloads now happen on containerized, cloud-native platforms with the complete market rising 33.5% per 12 months (Grand View Research). However, these workloads face distinctive safety challenges that go away them weak.

Businesses constructing and deploying purposes in containers typically have restricted visibility into vulnerabilities inside their container photos. This means points similar to weak open supply packages, outdated dependencies, and recognized Common Vulnerabilities and Exposures (CVEs) are sometimes left undetected. This leaves a serious hole in assault floor protection for contemporary, containerized environments. The downside is simply rising worse as containerized infrastructure turns into extra widespread whereas outdated, agent-based options are sometimes advanced to configure and preserve.

“Containerized environments are all over the place and safety options must adapt accordingly,” mentioned Andy Hornegold, vp of product at Intruder. “Containerized environments are a giant, difficult assault floor and this launch extends our assault floor and cloud protection into one of the most important elements of trendy infrastructure, giving groups steady visibility into container vulnerabilities with minimal effort and robust signal-to-noise management.”

The put up Intruder Announced the Release of Container Image Scanning first appeared on AI-Tech Park.

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