Preparing Your Security Program for Amazon Web Services Security Hub Extended

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TL;DR

  • AWS Security Hub Extended lets customers bring AWS native detection and partner tools together, with findings normalized for correlation
  • Results depend on what sits underneath: architecture and risk priorities, a secure AWS foundation and a plan for AI
  • GuidePoint joined as a services partner to help customers settle those fundamentals first

Security teams often manage products that were selected at different times for different problems. Each can generate useful data, but connecting findings across endpoint, identity, data, cloud and other domains often falls to the people operating them.

Amazon Web Services Security Hub Extended addresses part of that challenge by giving customers a single AWS experience to review and subscribe to curated partner solutions. Participating solutions emit findings using the Open Cybersecurity Schema Framework (OCSF) and AWS Security Hub aggregates those findings so teams can examine risks that span domains.

GuidePoint Security recently joined AWS Security Hub Extended as a services partner. Our role is to work with customers on how those capabilities fit their environments, prepare the AWS foundations that support them and integrate selected technologies into day-to-day security operations. We start with each customer’s architecture, existing investments, risk priorities and operating model.

Security Hub Extended can simplify several parts of adopting security technology. AWS serves as the seller of record for participating partner solutions and customers can review offerings and initiate subscriptions from the Security Hub console.

It creates a shared way to bring findings together. Standardizing data in OCSF reduces the translation work required to examine activity across tools and gives security teams more context when a risk crosses traditional product boundaries.

A broader set of integrated tools also introduces choices about coverage, overlap, deployment and ownership. Customers need to confirm that each addition addresses an actual gap, fits the current technology stack and sends new findings into established response processes.

Start With Architecture and Risk

Security technology decisions are most useful when they are tied to defined risks and use cases. Before selecting additional tools, organizations should establish a current view of their AWS environment and the controls already in place.

Start by mapping:

  • Sources of security findings
  • AWS and third-party technologies already deployed
  • Overlaps and gaps in coverage
  • Ownership of investigation and response

Planned cloud migrations and AI adoption belong in the same view because they can change identity, data and governance requirements. AI is one of 10 security domains in Security Hub Extended, which makes it a practical place to start a readiness conversation. An AI readiness assessment evaluates AI security and governance considerations and sets priorities before adoption expands.

The result should be a prioritized set of security requirements that gives security, cloud and procurement teams a common foundation for evaluating the options available through AWS Security Hub Extended.

Build on a Secure AWS Foundation

Identity, logging, account governance, network controls and configuration standards shape how reliably tools can be deployed across AWS and how much context is available when a finding needs investigation. Confirm account governance, access management and telemetry collection, then check that guardrails apply across workloads. This matters most during migration, when inherited configurations and compressed timelines can create uneven controls.

GuidePoint helps customers build this layer with services such as AWS Control Tower, Amazon GuardDuty and Amazon Security Lake. Addressing it early gives partner technologies a stable environment and can reduce rework during deployment.

Where GuidePoint Fits

GuidePoint supports this work through four AWS-focused services:

  • AI Readiness Assessment: Evaluates AI security and governance considerations, identifies gaps and establishes priorities before expanding AI adoption.
  • Cloud Assessments: Evaluate cloud architecture, controls and operational readiness to identify risks and develop a prioritized improvement plan.
  • Secure Landing Zone: Establishes a secure AWS foundation with governance, identity, logging and security controls aligned to the organization’s requirements.
  • Secure Migration: Embeds security into cloud migration planning and execution so workloads and data stay protected throughout the transition.

Getting Started with AWS Security Hub Extended

Organizations considering AWS Security Hub Extended can begin with a current architecture and control assessment, paired with clear risk priorities and response workflows. That baseline identifies the tools worth adding and the foundation work that comes first — and gives findings a direct path to action.

Learn more about GuidePoint Security’s services for AWS environments or read the full announcement.

FAQs

AWS Security Hub aggregates findings from AWS-native services. Security Hub Extended adds curated third-party partner solutions that emit findings in OCSF format. That gives teams a single console to review risks across both AWS and partner tools

No. Security Hub Extended is designed to layer on top of existing investments. Participating partner solutions integrate alongside what you already have and OCSF normalization lets findings from different tools correlate without replacing any of them.

Start with a current view of your AWS architecture, existing security controls and coverage gaps. Confirm that identity, logging, account governance and network controls are consistent across workloads before adding ne

New tools deployed on an uneven foundation generate findings without enough context to act on them. Gaps in identity, logging or account governance mean alerts lack the detail needed for investigation and response.