Shieldly

Shieldly is an AI-powered security analysis platform designed specifically for Amazon Web Services (AWS) environments. It leverages advanced machine learning algorithms to continuously monitor cloud infrastructure, detect misconfigurations, identify vulnerabilities, and uncover potential threats in real time. The platform ingests data from various AWS services such as CloudTrail, VPC Flow Logs, and GuardDuty, correlating events to provide a comprehensive security posture assessment. Shieldly’s engine goes beyond rule-based checks by learning normal behavior patterns to highlight anomalies that may indicate account compromise, insider threats, or advanced persistent threats. The tool automates the tedious process of securing cloud resources by offering actionable remediation guidance and, in some cases, automated fix workflows. It provides a centralized dashboard that visualizes risk scores, compliance status against industry standards like CIS AWS Foundations Benchmark, and detailed audit trails for forensic analysis. Shieldly’s AI models are continuously updated to adapt to emerging threats, ensuring that security teams are always a step ahead. Key features include intelligent alerting with context-rich notifications, integration with popular DevOps tools and chat platforms, and API access for custom automation. The platform is designed for scalability, supporting multi-account AWS organizations, and allows security teams to define custom policies and risk thresholds. Shieldly also offers reporting capabilities for compliance audits and executive summaries. By combining cloud-native data collection with AI-driven analysis, Shieldly reduces the mean time to detect (MTTD) and mean time to respond (MTTR) to security incidents. It empowers organizations to maintain a strong security posture without requiring deep security expertise, making advanced cloud security accessible to startups and enterprises alike.

Category: Apis
Pricing: Paid

Problem solved

Many organizations struggle to keep their AWS environments secure due to the complexity and dynamic nature of cloud configurations. Manual security audits are time-consuming, error-prone, and often miss critical vulnerabilities. Shieldly solves this by automating continuous security analysis with AI, providing real-time insights and prioritized alerts, enabling teams to proactively address risks before they lead to breaches.

Use cases

Continuous compliance monitoring against CIS AWS Foundations Benchmark and custom policies.
Detection of overly permissive IAM roles and policies that violate least privilege.
Identification of publicly exposed S3 buckets and other misconfigured storage resources.
Anomaly detection for suspicious API calls or unusual data transfer patterns indicating compromised credentials.
Automated remediation of common misconfigurations like disabling public access for S3 buckets.
Generating compliance reports for auditors and stakeholders.

Audience

Developers
Enterprise
Startups

Pros

AI-driven anomaly detection reduces false positives compared to static rule-based tools.
Deep integration with AWS services provides comprehensive coverage.
Actionable remediation steps simplify incident response.
Scalable across multi-account AWS organizations.
API access enables custom automation and integration with existing workflows.

Cons

Limited to AWS environments; no support for other cloud providers.
AI models may require a learning period to reduce false positives initially.
Pricing could be prohibitive for very small teams or hobbyist projects.

Official website: https://www.shieldly.io/

Canonical LambdaBase page: https://www.lambdabase.com/tools/shieldly

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Shieldly

Paid

★ 1 • Updated Sep 2, 2026, 01:11 AM

Shieldly is an AI-powered security analysis platform designed specifically for Amazon Web Services (AWS) environments.

Use Cases ▼

Continuous compliance monitoring against CIS AWS Foundations Benchmark and custom policies.

Detection of overly permissive IAM roles and policies that violate least privilege.

Identification of publicly exposed S3 buckets and other misconfigured storage resources.

Anomaly detection for suspicious API calls or unusual data transfer patterns indicating compromised credentials.

Automated remediation of common misconfigurations like disabling public access for S3 buckets.

Generating compliance reports for auditors and stakeholders.

What Problem It Solves ▼

Key Features ▼

✓

AI-driven anomaly detection reduces false positives compared to static rule-based tools.

✓

Deep integration with AWS services provides comprehensive coverage.

✓

Actionable remediation steps simplify incident response.

✓

Scalable across multi-account AWS organizations.

✓

API access enables custom automation and integration with existing workflows.

Overview

Full Description ▼

The tool automates the tedious process of securing cloud resources by offering actionable remediation guidance and, in some cases, automated fix workflows. It provides a centralized dashboard that visualizes risk scores, compliance status against industry standards like CIS AWS Foundations Benchmark, and detailed audit trails for forensic analysis. Shieldly’s AI models are continuously updated to adapt to emerging threats, ensuring that security teams are always a step ahead.

Key features include intelligent alerting with context-rich notifications, integration with popular DevOps tools and chat platforms, and API access for custom automation. The platform is designed for scalability, supporting multi-account AWS organizations, and allows security teams to define custom policies and risk thresholds. Shieldly also offers reporting capabilities for compliance audits and executive summaries.

By combining cloud-native data collection with AI-driven analysis, Shieldly reduces the mean time to detect (MTTD) and mean time to respond (MTTR) to security incidents. It empowers organizations to maintain a strong security posture without requiring deep security expertise, making advanced cloud security accessible to startups and enterprises alike.