Considerations for Choosing Third-Party AWS Vulnerability Scanners
Many organizations find that native AWS tools are not enough for their security needs. Here are some considerations for selecting a third-party vulnerability scanning tool for your AWS environment.
1. AWS Integration
When choosing an AWS vulnerability scanner, integration with AWS services is essential for security management. A well-integrated scanner can leverage AWS-native security features, such as AWS Security Hub, Amazon Inspector, AWS IAM policies, and AWS Config, to improve vulnerability detection, reporting, and remediation.
Look for solutions that support AWS APIs and CloudFormation templates, allowing for automated deployments and scans that fit within existing AWS infrastructure. The scanner should also be able to assume IAM roles with the necessary permissions to access and analyze AWS resources without excessive privileges, reducing security risks.
Additionally, integration with AWS Organizations is useful for enterprises managing multiple AWS accounts. A scanner that supports multi-account scanning can provide centralized security insights, improving visibility and compliance tracking across the entire AWS environment. Event-driven security monitoring using services like AWS Lambda automate security responses, triggering remediation actions when vulnerabilities are detected.
2. Coverage Scope
A vulnerability scanner should assess a range of AWS resources to provide security coverage. The scanner should be able to scan all relevant resources running in the target AWS environment, such as:
- Compute resources: EC2 instances, Lambda functions, and containerized workloads (ECS, EKS, Fargate).
- Storage resources: S3 buckets, EBS volumes, and RDS databases.
- Networking components: VPC configurations, security groups, and firewall rules.
- IAM and access controls: Permissions, policies, and access logs.
A good scanner should be able to identify misconfigurations, unpatched software and exposed credentials in compute resources, permission issues and data protection features in storage resources, network security risks such as open ports or improperly configured security groups, and identity risks such as overly permissive IAM policies.
Additionally, compliance with industry standards such as CIS benchmarks, NIST, PCI-DSS, and SOC 2 is a critical aspect of coverage. The scanner should be capable of running compliance checks against these frameworks. For organizations running hybrid or multi-cloud environments, the scanner should support scanning on-premises infrastructure and other cloud providers alongside AWS.
3. Accuracy and Reporting
One of the biggest challenges in vulnerability scanning is minimizing false positives while ensuring that real threats are detected. A high-quality AWS vulnerability scanner should have:
- Detection algorithms that differentiate between real vulnerabilities and benign configurations.
- Context-aware scanning to assess risk based on the specific AWS environment, rather than providing generic results.
- Machine learning and threat intelligence integration to improve accuracy and detect emerging threats.
Reporting capabilities are just as important as detection. A scanner should offer:
- Clear, detailed vulnerability assessments explaining the issue, affected resources, and potential impact.
- Prioritization based on severity (e.g., CVSS scores, exploitability, and business impact).
- Actionable remediation recommendations that guide security teams on how to fix detected vulnerabilities.
Look for scanners that support interactive dashboards, exportable reports (PDF, CSV, JSON), and integration with ticketing systems (Jira, ServiceNow) to simplify vulnerability management.
4. Automation and Continuous Monitoring
Given the dynamic nature of AWS environments, where resources are frequently created, modified, and terminated, traditional one-time scans are insufficient. The AWS vulnerability scanner should support:
- Scheduled scans to ensure continuous security assessments.
- Real-time threat detection that scans resources as soon as they are deployed.
- Event-driven security checks using AWS Lambda, AWS Config, or CloudWatch events to trigger vulnerability scans upon resource changes.
Automation helps organizations maintain a proactive security posture, reducing the window of exposure to vulnerabilities. Additionally, self-healing capabilities—such as triggering remediation workflows using AWS Systems Manager or Lambda—can automatically resolve common misconfigurations, reducing the burden on security teams.
5. Integration with DevOps Workflows
Security should be embedded into the development lifecycle to catch vulnerabilities early and prevent security issues from reaching production. A strong AWS vulnerability scanner should integrate with DevOps and CI/CD pipelines. This enables shift-left security, where vulnerabilities are detected and remediated before deployment.
Key features to look for include:
- Pre-deployment scanning: Scan infrastructure-as-code (IaC) templates (Terraform, CloudFormation) for misconfigurations before provisioning resources.
- Automated security testing: Run vulnerability scans on container images, application dependencies, and cloud configurations as part of CI/CD pipelines.
- Fail conditions and gating: Block deployments if critical vulnerabilities are detected, preventing insecure code from going live.
Vulnerability Management with CyCognito Attack Surface Management
The CyCognito platform addresses today’s vulnerability management requirements, built on the foundation of full discovery of your entire extended IT ecosystem, to help you proactively defend against threats from even the most sophisticated attackers. It operates continuously and autonomously using advanced attacker-reconnaissance techniques to identify attackers' paths of least resistance into your environment so that you can efficiently eliminate them.
Once it identifies potential attack vectors, it prioritizes risks and delivers both actionable remediation guidance and ongoing validation of fixes. The result is a platform that delivers risk-based vulnerability management for your entire attacker-exposed IT ecosystem, closing what is a significant gap in existing attack surface management and vulnerability management processes.
The CyCognito platform uniquely delivers:
- Full discovery of your extended IT ecosystem, including assets that are part of your IT ecosystem, but are unknown or unmanaged by you.
- Sophisticated discovery capabilities that go beyond typical attack surface management or VM tools, which rely on passive data collection within known IP ranges.
- Detection and testing of attack vectors across your entire attacker-exposed IT ecosystem, going well beyond CVEs to include data exposures, misconfigurations and even software zero-day vulnerabilities.
- Prioritization of the attack vectors in your IT ecosystem based on what could impact your organization most from a cybersecurity risk perspective.
- Actionable remediation guidance and reporting to accelerate your remediation and validation.
Learn more about
CyCognito for vulnerability management.