AWS Security Hub AI Inventory now supports discovering and cataloging AI assets running on self-hosted instances in Microsoft Azure. This expansion extends Security Hub's existing self-hosted discovery capabilities beyond AWS, enabling central security teams to gain a continuously updated, organization-wide view of AI assets and their security posture across multi-cloud environments. Security Hub leverages the software bill of materials (SBOM) analysis from Amazon Inspector, which has been enhanced to identify inference endpoints, models, and AI agents installed on Azure virtual machines, including frameworks such as Ollama, vLLM, Hugging Face TGI, and others. Each discovered AI asset is mapped to its underlying infrastructure and correlated with security findings, enabling teams to filter, group, and query their AI inventory across both AWS and Azure environments. This capability is included with Security Hub Essentials at no additional cost. It is available in all AWS commercial Regions where Security Hub is offered. To learn more, see the AWS Security Hub User Guide and the AWS Security Hub product page.

AWS Security Hub AI Inventory now supports discovering and cataloging AI assets running on self-hosted instances in Microsoft Azure. This expansion extends Security Hub's existing self-hosted discovery capabilities beyond AWS, enabling central security teams to gain a continuously updated, organization-wide view of AI assets and their security posture across multi-cloud environments. Security Hub leverages the software bill of materials (SBOM) analysis from Amazon Inspector, which has been enhanced to identify inference endpoints, models, and AI agents installed on Azure virtual machines, including frameworks such as Ollama, vLLM, Hugging Face TGI, and others. Each discovered AI asset is mapped to its underlying infrastructure and correlated with security findings, enabling teams to filter, group, and query their AI inventory across both AWS and Azure environments. This capability is included with Security Hub Essentials at no additional cost. It is available in all AWS commercial Regions where Security Hub is offered. To learn more, see the https://docs.aws.amazon.com/securityhub/latest/userguide/securityhub-v2-ai-inventory.html and the https://aws.amazon.com/security-hub/.

The AWS Security Hub Extended plan now includes Supply Chain Security as its 10th security category, with Chainguard and Socket as the curated partners. As developers adopt open-source libraries at scale, security teams need confidence that the packages entering their environments are trustworthy and free from malicious code. With this addition, you can detect and block malicious dependencies before they are built into your applications, with the same streamlined activation and pay-as-you-go pricing as every other Extended category. This brings the Extended plan to 23 curated partner solutions. All solutions are on a single AWS bill and no required long-term commitments. Security Hub Extended is a plan within AWS Security Hub that helps simplify how you procure, deploy, and integrate a full-stack enterprise security solution across endpoint, identity, email, network, data, browser, cloud, AI, security operations, and supply chain. Security findings from all participating solutions are emitted in the Open Cybersecurity Schema Framework (OCSF) and automatically aggregated in AWS Security Hub. With the Extended plan, you can combine AWS and curated partner solutions to quickly identify and respond to risks that span boundaries. We will continue to expand the Extended plan based on customer feedback. The two new curated partner solutions are available today in all AWS commercial Regions where Security Hub is available. For a list of supported Regions, see the AWS Region table. For more information about pricing, visit the AWS Security Hub pricing page. To get started, visit the AWS Security Hub console or product page.

The AWS Security Hub Extended plan now includes Supply Chain Security as its 10th security category, with Chainguard and Socket as the curated partners. As developers adopt open-source libraries at scale, security teams need confidence that the packages entering their environments are trustworthy and free from malicious code. With this addition, you can detect and block malicious dependencies before they are built into your applications, with the same streamlined activation and pay-as-you-go pricing as every other Extended category. This brings the Extended plan to 23 curated partner solutions. All solutions are on a single AWS bill and no required long-term commitments. Security Hub Extended is a plan within AWS Security Hub that helps simplify how you procure, deploy, and integrate a full-stack enterprise security solution across endpoint, identity, email, network, data, browser, cloud, AI, security operations, and supply chain. Security findings from all participating solutions are emitted in the Open Cybersecurity Schema Framework (OCSF) and automatically aggregated in AWS Security Hub. With the Extended plan, you can combine AWS and curated partner solutions to quickly identify and respond to risks that span boundaries. We will continue to expand the Extended plan based on customer feedback. The two new curated partner solutions are available today in all AWS commercial Regions where Security Hub is available. For a list of supported Regions, see the/about-aws/global-infrastructure/regional-product-services/?p=ngi&loc=4&refid=d8ec3b19-0f37-4f8c-8c12-189f913e205c For more information about pricing, visit the/security-hub/pricing/. To get started, visit the https://console.aws.amazon.com/securityhub/v2/home or /security-hub/

AWS announces the preview of the AWS Security Hub MCP App, a local Model Context Protocol (MCP) server that brings your Security Hub exposure findings directly into Claude Desktop.  This capability can help accelerates your security investigations by reducing context switching and manual triage, letting you explore and act on your exposures without leaving your AI-assisted workflow. With the Security Hub MCP App, you can investigate your security posture in natural language: view your top exposure findings, drill into a finding’s attack path and expanded network path, examine correlated findings and affected resource configurations, and get remediation recommendations. Each tool call returns both a text summary for your AI agent to reason overover and an interactive visualization for you to verify in the same conversation. The MCP server runs locally on your machine using your existing AWS credentials, and every tool is read-only,-- no changes are made to your environment. The Security Hub MCP App is available at no additional cost to Security Hub customers. This feature is available in preview in all AWS commercial Regions that support Security Hub. To learn more, see the AWS Security Hub User Guide and the AWS Security Hub product page. For the full list of Regions, see the AWS Regional Services List.

AWS announces the preview of the AWS Security Hub MCP App, a local Model Context Protocol (MCP) server that brings your Security Hub exposure findings directly into Claude Desktop.  This capability can help accelerates your security investigations by reducing context switching and manual triage, letting you explore and act on your exposures without leaving your AI-assisted workflow. With the Security Hub MCP App, you can investigate your security posture in natural language: view your top exposure findings, drill into a finding’s attack path and expanded network path, examine correlated findings and affected resource configurations, and get remediation recommendations. Each tool call returns both a text summary for your AI agent to reason overover and an interactive visualization for you to verify in the same conversation. The MCP server runs locally on your machine using your existing AWS credentials, and every tool is read-only,-- no changes are made to your environment. The Security Hub MCP App is available at no additional cost to Security Hub customers. This feature is available in preview in all AWS commercial Regions that support Security Hub. To learn more, see the https://docs.aws.amazon.com/securityhub/latest/userguide/securityhub-v2-mcp-app.html and the https://aws.amazon.com/security-hub/. For the full list of Regions, see the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Today, AWS announces that AWS Security Hub now provides an AI inventory, giving central security teams a continuously updated, organization-wide view of AI assets and their security posture. As organizations rapidly deploy AI agents, models, and pipelines, security teams may lack visibility into what AI assets exist across their organization. Without centralized visibility connecting AI assets to active threats and misconfigurations, organizations cannot secure what they don't know exists. Security Hub AI inventory automatically discovers and catalogs AI workloads across your AWS environment through three discovery methods. For managed AI services, Security Hub inventories AWS Config resources from Amazon Bedrock, Bedrock AgentCore and Amazon SageMaker, with no additional configuration. For self-hosted AI workloads, Security Hub leverages the software bill of materials (SBOM) analysis from Amazon Inspector, which has been enhanced to identify inference endpoints, models and AI agents installed on Amazon EC2 instances and Amazon ECR container images, including frameworks such as Ollama, vLLM, Hugging Face TGI, and others. Security Hub also leverages Amazon GuardDuty DNS telemetry to discover external AI API endpoints (such as calls to third-party model providers) being accessed from your EC2 instances, revealing third-party AI dependencies that may not have been previously identified.  Each discovered AI asset is mapped to its underlying infrastructure and correlated with security findings from across the AWS security stack, including threat findings from Amazon GuardDuty. Teams can filter, group, and query their AI inventory by account, resource type, discovery method, and specific model identity, enabling them to prioritize remediation based on which AI workloads are actively under threat and carry the highest organizational risk. AI Inventory is included with Security Hub Essentials at no additional cost and requires no new enablement. It is available in all AWS commercial Regions where Security Hub is offered. To learn more, see the AWS Security Hub User Guide and the AWS Security Hub product page.

Today, AWS announces that AWS Security Hub now provides an AI inventory, giving central security teams a continuously updated, organization-wide view of AI assets and their security posture. As organizations rapidly deploy AI agents, models, and pipelines, security teams may lack visibility into what AI assets exist across their organization. Without centralized visibility connecting AI assets to active threats and misconfigurations, organizations cannot secure what they don't know exists. Security Hub AI inventory automatically discovers and catalogs AI workloads across your AWS environment through three discovery methods. For managed AI services, Security Hub inventories AWS Config resources from Amazon Bedrock, Bedrock AgentCore and Amazon SageMaker, with no additional configuration. For self-hosted AI workloads, Security Hub leverages the software bill of materials (SBOM) analysis from Amazon Inspector, which has been enhanced to identify inference endpoints, models and AI agents installed on Amazon EC2 instances and Amazon ECR container images, including frameworks such as Ollama, vLLM, Hugging Face TGI, and others. Security Hub also leverages Amazon GuardDuty DNS telemetry to discover external AI API endpoints (such as calls to third-party model providers) being accessed from your EC2 instances, revealing third-party AI dependencies that may not have been previously identified.  Each discovered AI asset is mapped to its underlying infrastructure and correlated with security findings from across the AWS security stack, including threat findings from Amazon GuardDuty. Teams can filter, group, and query their AI inventory by account, resource type, discovery method, and specific model identity, enabling them to prioritize remediation based on which AI workloads are actively under threat and carry the highest organizational risk. AI Inventory is included with Security Hub Essentials at no additional cost and requires no new enablement. It is available in all AWS commercial Regions where Security Hub is offered. To learn more, see the https://docs.aws.amazon.com/securityhub/latest/userguide/what-is-securityhub-v2.html and the https://aws.amazon.com/security-hub/.

AWS Builder Center turned one year old last week. Launched on July 9, 2025, the platform has grown from a community hub with Wishlist voting, community profiles, and a toolbox into a full ecosystem with sandbox environments, workshops, Spaces, and a Builders’ Library. To mark the anniversary, Rick Suttles published a full feature timeline covering […]

Today, AWS Security Hub introduces Network Scanning, a capability that identifies resources in your environment that are reachable from the public internet.  Network Scanning probes your resources from the internet to detect actual reachability, not just what could be reachable based on security group rules and route tables. It discovers public IP addresses, virtual machines, and load balancers across your AWS and Azure environments, identifies reachable ports, and determines what services are running behind them. This complements Security Hub’s existing network reachability findings, which identify configurations that could make a resource reachable from the internet.  Network Scanning confirms actual reachability from the internet. Each reachable port generates a Security Hub finding with evidence of the port and service discovered. Security Hub Exposures then automatically correlates these findings with other findings and resource configurations to determine broader risk.

Today, AWS Security Hub introduces Network Scanning, a capability that identifies resources in your environment that are reachable from the public internet.  Network Scanning probes your resources from the internet to detect actual reachability, not just what could be reachable based on security group rules and route tables. It discovers public IP addresses, virtual machines, and load balancers across your AWS and Azure environments, identifies reachable ports, and determines what services are running behind them. This complements Security Hub’s existing network reachability findings, which identify configurations that could make a resource reachable from the internet.  Network Scanning confirms actual reachability from the internet. Each reachable port generates a Security Hub finding with evidence of the port and service discovered. Security Hub Exposures then automatically correlates these findings with other findings and resource configurations to determine broader risk.

Today, AWS announces that AWS Security Hub now monitors Microsoft Azure resources, extending risk analytics, cloud security posture management, vulnerability management, and security response management across both clouds. Many AWS customers running workloads in AWS and Azure have had to operate separate security tools for each environment, making it difficult to prioritize risks holistically or respond consistently. Security Hub now provides a single, unified experience to detect and respond to risks across your AWS and Azure environments. Security Hub automatically discovers Azure resources, including Azure Virtual Machines (VMs), Azure Container Registry (ACR) container images, Azure Function Apps, and Azure identities, and evaluates them for misconfigurations, internet exposure, and software vulnerabilities. You receive posture checks against security standards including the CIS Benchmarks™ for Microsoft Azure Foundations, unified resource inventory, risk and exposure analysis, and automated response through existing EventBridge integrations. AWS and Azure findings appear in the same prioritized view with the same finding formats and automation workflows, so security teams can operate from one console rather than switching between tools. Security Hub includes an independent 30-day free trial to monitor Azure resources that begins once you create your integration with Microsoft Azure. After the trial, you pay the same price for monitoring Azure resources and equivalent AWS resources. You can create an integration to Azure from all AWS Regions where Security Hub is available except Middle East (UAE), Middle East (Bahrain), Asia Pacific (Taipei), and Asia Pacific (New Zealand). You can also create integrations to Microsoft Azure for AWS Security Hub CSPM for posture management checks and Amazon Inspector for vulnerability management independently from AWS Security Hub. To learn more, see AWS Security Hub Pricing and AWS Security Hub documentation.

Today, AWS announces that AWS Security Hub now monitors Microsoft Azure resources, extending risk analytics, cloud security posture management, vulnerability management, and security response management across both clouds. Many AWS customers running workloads in AWS and Azure have had to operate separate security tools for each environment, making it difficult to prioritize risks holistically or respond consistently. Security Hub now provides a single, unified experience to detect and respond to risks across your AWS and Azure environments. Security Hub automatically discovers Azure resources, including Azure Virtual Machines (VMs), Azure Container Registry (ACR) container images, Azure Function Apps, and Azure identities, and evaluates them for misconfigurations, internet exposure, and software vulnerabilities. You receive posture checks against security standards including the CIS Benchmarks™ for Microsoft Azure Foundations, unified resource inventory, risk and exposure analysis, and automated response through existing EventBridge integrations. AWS and Azure findings appear in the same prioritized view with the same finding formats and automation workflows, so security teams can operate from one console rather than switching between tools. Security Hub includes an independent 30-day free trial to monitor Azure resources that begins once you create your integration with Microsoft Azure. After the trial, you pay the same price for monitoring Azure resources and equivalent AWS resources. You can create an integration to Azure from all AWS Regions where Security Hub is available except Middle East (UAE), Middle East (Bahrain), Asia Pacific (Taipei), and Asia Pacific (New Zealand). You can also create integrations to Microsoft Azure for AWS Security Hub CSPM for posture management checks and Amazon Inspector for vulnerability management independently from AWS Security Hub. To learn more, see https://aws.amazon.com/security-hub/pricing/ and https://docs.aws.amazon.com/securityhub/latest/userguide/what-is-securityhub-v2.html.

Today, AWS Security Hub adds impact analysis to exposure findings, helping security teams understand the full scope of what an attacker could reach if an exposure is exploited. Impact analysis extends exposure findings by mapping the downstream resources that could be compromised beyond the initially exposed resource, giving teams deeper visibility into organizational risk. Security Hub analyzes the effective permissions of IAM principals associated with exposed resources to identify privilege escalation paths to other resources in your account. The resulting scope of impact is displayed in the potential attack path graph, and a new Impact Assessment tab shows the prioritized chains of resources an attacker could traverse along with the specific permissions at each step. Security Hub factors the scope of impact into its severity scoring for exposure findings, and adjusts existing exposures as their scope of impact is identified or changes, so that exposures with greater downstream reach are prioritized appropriately. To learn more, see Understanding exposure findings in the AWS Security Hub User Guide and the AWS Security Hub product page. For the full list of AWS Regions where Security Hub is available, see the AWS Regional Services List.

Today, AWS Security Hub adds impact analysis to exposure findings, helping security teams understand the full scope of what an attacker could reach if an exposure is exploited. Impact analysis extends exposure findings by mapping the downstream resources that could be compromised beyond the initially exposed resource, giving teams deeper visibility into organizational risk. Security Hub analyzes the effective permissions of IAM principals associated with exposed resources to identify privilege escalation paths to other resources in your account. The resulting scope of impact is displayed in the potential attack path graph, and a new Impact Assessment tab shows the prioritized chains of resources an attacker could traverse along with the specific permissions at each step. Security Hub factors the scope of impact into its severity scoring for exposure findings, and adjusts existing exposures as their scope of impact is identified or changes, so that exposures with greater downstream reach are prioritized appropriately. To learn more, see Understanding exposure findings in the https://docs.aws.amazon.com/securityhub/latest/userguide/what-is-securityhub-v2.html and the https://aws.amazon.com/security-hub/. For the full list of AWS Regions where Security Hub is available, see the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Today, AWS Security Hub CSPM announces the AI Security Best Practices standard, a set of 31 automated security controls that detect when your deployed AI resources do not align with security best practices. Developed by AWS security experts, this standard helps you continuously evaluate your Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon SageMaker workloads against recommended security configurations—without requiring manual assessments or custom rule authoring. The AI Security Best Practices standard covers critical security domains including but not limited to network isolation, encryption at rest and in transit, VPC placement, KMS key usage, private container registry requirements, and authorization controls. Controls span the breadth of AI infrastructure: from Bedrock AgentCore runtimes, gateways, memory stores, and custom browsers to SageMaker notebook instances, endpoints, models, monitoring jobs, and feature groups. Each control is assigned a security category and generates findings when resources deviate from best practices, enabling security teams to quickly identify and remediate misconfigurations across their AI workloads. The AI Security Best Practices standard is available in all AWS Regions where Security Hub CSPM is currently available, including AWS GovCloud (US) and the China Regions. The standard identifier is standards/ai-security-best-practices/v/1.0.0. To learn more, see the AWS Security Hub CSPM User Guide. You can also try Security Hub CSPM at no cost for 30 days with the AWS Free Tier.

Today, AWS Security Hub CSPM announces the AI Security Best Practices standard, a set of 31 automated security controls that detect when your deployed AI resources do not align with security best practices. Developed by AWS security experts, this standard helps you continuously evaluate your Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon SageMaker workloads against recommended security configurations—without requiring manual assessments or custom rule authoring. The AI Security Best Practices standard covers critical security domains including but not limited to network isolation, encryption at rest and in transit, VPC placement, KMS key usage, private container registry requirements, and authorization controls. Controls span the breadth of AI infrastructure: from Bedrock AgentCore runtimes, gateways, memory stores, and custom browsers to SageMaker notebook instances, endpoints, models, monitoring jobs, and feature groups. Each control is assigned a security category and generates findings when resources deviate from best practices, enabling security teams to quickly identify and remediate misconfigurations across their AI workloads. The AI Security Best Practices standard is available in all AWS Regions where Security Hub CSPM is currently available, including AWS GovCloud (US) and the China Regions. The standard identifier is standards/ai-security-best-practices/v/1.0.0. To learn more, see the https://docs.aws.amazon.com/securityhub/latest/userguide/what-is-securityhub.html. You can also try Security Hub CSPM at no cost for 30 days with the https://aws.amazon.com/free/.https://aws.amazon.com

There’s something genuinely energizing about working with startups — something I’ve been doing intensely for more than two years now. Startups operate at a different frequency: the urgency is real, the constraints are tight, and the stakes are personal. Helping them navigate the challenge of proving their business model requires not just technical depth but […]

Today, AWS Security Hub brings identity risk into the same unified console where central security teams already manage threats, exposures, and posture findings. Security Hub now detects unused IAM permissions, roles, and credentials across your AWS organization, helping central security teams identify and reduce identity risk at scale. Until now, managing identity risk across hundreds of accounts required toggling between multiple tools, with no unified view connecting unused permissions to actual resource exposure. Security Hub now surfaces these identity risks alongside threats, exposures, and posture findings in a unified console, enabling teams to prioritize remediation based on actual organizational risk. When you enable Security Hub for your organization, a service-linked IAM Access Analyzer is automatically created in each member account with no additional configuration required. Security Hub evaluates IAM principals against 90 days of actual access activity, detects unused access, and correlates identity findings with exposure context so teams can focus on the risks that matter most. Security Hub also provides on-demand generation of recommended least-privilege policies based on actual usage patterns, helping teams refine IAM permissions and reduce their attack surface. These capabilities represent a foundational step toward broader cloud infrastructure entitlement management in Security Hub, delivered with consistent workflows, automation rules, and downstream integrations. These capabilities are included with Security Hub Essentials at no additional cost. To learn more, see Understanding unused access findings in Security Hub in the AWS Security Hub User Guide and the AWS Security Hub product page. For the full list of AWS Regions where Security Hub is available, see the AWS Regional Services List.

Today, AWS Security Hub brings identity risk into the same unified console where central security teams already manage threats, exposures, and posture findings. Security Hub now detects unused IAM permissions, roles, and credentials across your AWS organization, helping central security teams identify and reduce identity risk at scale. Until now, managing identity risk across hundreds of accounts required toggling between multiple tools, with no unified view connecting unused permissions to actual resource exposure. Security Hub now surfaces these identity risks alongside threats, exposures, and posture findings in a unified console, enabling teams to prioritize remediation based on actual organizational risk. When you enable Security Hub for your organization, a service-linked IAM Access Analyzer is automatically created in each member account with no additional configuration required. Security Hub evaluates IAM principals against 90 days of actual access activity, detects unused access, and correlates identity findings with exposure context so teams can focus on the risks that matter most. Security Hub also provides on-demand generation of recommended least-privilege policies based on actual usage patterns, helping teams refine IAM permissions and reduce their attack surface. These capabilities represent a foundational step toward broader cloud infrastructure entitlement management in Security Hub, delivered with consistent workflows, automation rules, and downstream integrations. These capabilities are included with Security Hub Essentials at no additional cost. To learn more, see Understanding unused access findings in Security Hub in the https://docs.aws.amazon.com/securityhub/latest/userguide/what-is-securityhub-v2.htmland the https://aws.amazon.com/security-hub/. For the full list of AWS Regions where Security Hub is available, see the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

This past week, I’ve been deep in the trenches helping customers transform their businesses through AI-DLC (AI-Driven Lifecycle) workshops. Throughout 2026, I’ve had the privilege of facilitating these sessions for numerous customers, guiding them through a structured framework that helps organizations identify, prioritize, and implement AI use cases that deliver measurable business value. AI-DLC is […]

AWS Security Hub is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. Security Hub is a unified cloud security solution that prioritizes critical security issues and helps you respond at scale, reduce security risks, and improve team productivity. Security Hub detects critical risks by correlating and enriching security signals from Amazon GuardDuty, Amazon Inspector, and AWS Security Hub CSPM, enabling you to quickly surface and prioritize active risks in your cloud environment. The service delivers near real-time risk analytics and advanced trends, transforming correlated security signals into actionable insights through enhanced visualizations and contextual enrichment. You can enable Security Hub for individual accounts or across your entire organization with centralized deployment and management. Capabilities include exposure findings, security-focused resource inventory, attack path visualization, and automated response workflows. The service automatically visualizes potential attack paths by showing how adversaries could chain together threats, vulnerabilities, and misconfigurations to compromise critical resources. Streamlined pricing consolidates charges across multiple AWS security services for improved cost predictability. To get started, visit the AWS Security Hub console or the AWS Security Hub product page. For the full list of AWS Regions where Security Hub is available, see the AWS Regional Services List.

AWS Security Hub is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. Security Hub is a unified cloud security solution that prioritizes critical security issues and helps you respond at scale, reduce security risks, and improve team productivity. Security Hub detects critical risks by correlating and enriching security signals from Amazon GuardDuty, Amazon Inspector, and AWS Security Hub CSPM, enabling you to quickly surface and prioritize active risks in your cloud environment. The service delivers near real-time risk analytics and advanced trends, transforming correlated security signals into actionable insights through enhanced visualizations and contextual enrichment. You can enable Security Hub for individual accounts or across your entire organization with centralized deployment and management. Capabilities include exposure findings, security-focused resource inventory, attack path visualization, and automated response workflows. The service automatically visualizes potential attack paths by showing how adversaries could chain together threats, vulnerabilities, and misconfigurations to compromise critical resources. Streamlined pricing consolidates charges across multiple AWS security services for improved cost predictability. To get started, visit the https://console.aws.amazon.com/securityhub/ or the https://aws.amazon.com/security-hub/. For the full list of AWS Regions where Security Hub is available, see the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

AWS announces the general availability of AWS Security Hub Extended, a unified, full-stack enterprise security solution. It brings together AWS detection services and curated partner solutions through a single, simplified experience.