Cloud posture security across AWS, Azure, and GCP — IAM least privilege, public exposure, encryption, logging coverage, landing-zone guardrails. Use when auditing a cloud account, before a production launch, or after a scan.
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Cloud posture security across AWS, Azure, and GCP — IAM least privilege, public exposure, encryption, logging coverage, landing-zone guardrails. Use when auditing a cloud account, before a production launch, or after a scan.
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Implementing Cloud Security Posture Management (CSPM) to continuously monitor multi-cloud environments for misconfigurations, compliance violations, and security risks using Prowler, ScoutSuite, AWS Security Hub, Azure Defender, and GCP Security Command Center.
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Investigate suspected data theft from AWS S3 by comparing access logs, GuardDuty findings, and Macie classifications. Identify unusual bulk downloads and transfers across accounts, assess sensitive data exposure, and build automated detection rules.
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Review application permissions and consent audit logs in Microsoft Entra ID using Microsoft Graph API. Identify overly broad access, unverified publishers, and suspicious consent patterns, then produce a JSON risk report with remediation recommendations.
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Audit Azure Storage settings for public containers, encryption, access permissions, network restrictions, and logging gaps. Use command-line checks and monitoring alerts to produce findings and remediation guidance across subscriptions.
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Use Stratus Red Team to simulate attack techniques across AWS, Azure, GCP, and Kubernetes. Prepare test resources, run and repeat simulations, check logs and alerts, and remove resources to assess whether security detections work.
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Analyze proxy, DNS, and firewall traffic logs to uncover unapproved SaaS and cloud services. Group usage by domain, compare it with approved applications, and produce a report with traffic volumes, user counts, risk scores, and remediation recommendations.
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Investigate lateral movement, where attackers expand access across Azure identities and tenants. Correlate audit logs and unusual sign-ins, build Microsoft Sentinel detection queries, and report affected identities with recommended containment actions.
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Analyze AWS CloudTrail logs against normal activity patterns to spot unusual API calls, IP addresses, errors, and sensitive changes. Produce a JSON report with anomaly scores, suspicious users, and suggested investigation steps.
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Investigate compromised credentials across AWS, Azure, and GCP by correlating security alerts and audit logs. Examines unusual API activity and suspicious sign-ins, helps assess the affected scope, and guides containment actions such as disabling keys and revoking sessions.
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Scan code, configuration files, and Git history for exposed AWS credentials with TruffleHog. Checks whether detected keys remain active and guides key replacement, incident investigation, and automated checks before commits and during CI/CD.
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Audit Kubernetes RBAC, the rules that assign access through roles, to identify excessive permissions, risky role assignments, and paths to gaining higher privileges. Review service accounts and produce findings with recommended permission changes.
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Audit AWS S3 buckets for public exposure, excessive permissions, and gaps in encryption or versioning settings. Use AWS CLI, Prowler, and access analysis to compile findings, prioritize issues, and plan or apply configuration fixes.
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Audit Microsoft Entra ID identity settings to uncover weak authentication policies, excessive administrator privileges, inactive accounts, and guest access risks. Review conditional access rules and sign-in logs, then organize findings into a prioritized security report.
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Audit Terraform infrastructure definitions and planned changes for excessive permissions, public exposure, and missing encryption. Use security scanners and custom rules to produce actionable findings and add automated checks before cloud infrastructure is deployed.
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Audit Google Cloud access permissions to find overly broad roles, unnecessary service account keys, public access, and impersonation risks. Use gcloud CLI, Policy Analyzer, and IAM Recommender to document findings and plan more limited permissions.
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Investigate suspicious Azure activity by querying administrative and sign-in logs. Create KQL queries, Azure's log search language, to examine role assignments, resource changes, unusual access, and other signals for cloud security monitoring.
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Analyze access logs from AWS S3, GCS, and Azure Blob Storage to spot unusual downloads, unfamiliar IP addresses, and request spikes. Compare activity with normal patterns and prioritize findings for suspected data theft investigations.
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Review cloud permissions, public storage access, network rules, and infrastructure definitions for security gaps. The skill helps identify risky configurations, rank findings by severity, and suggest narrower permissions, with fuller coverage for AWS than Azure or GCP.
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ISO 27001:2022 ISMS implementation and cybersecurity governance for HealthTech and MedTech. Use for ISMS design, risk assessment per Clause 6.1.2, Annex A controls, ISO 27001 certification, security audits, and incident response.
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Cross-framework infrastructure security audit across cloud, network, and CI/CD. Use for infrastructure and cloud security audits, security posture assessment, and validating technical controls for SOC 2, ISO 27001, and NIST CSF.
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AWS/Azure/GCP security auditing, container and Kubernetes hardening, Infrastructure as Code scanning, and cloud compliance assessment
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Use when attacking AWS/Azure/GCP cloud — IAM/identity privilege escalation, IMDS/metadata SSRF, Entra device-code & PRT theft, GCP impersonation chains, Kubernetes/container escape, IaC/CI-CD federation abuse
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Run targeted AWS, Azure, or GCP security and compliance audits when an agent needs actionable cloud findings instead of a generic cloud-security platform overview.
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