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Implements comprehensive security controls for the entire API key lifecycle, including secure generation, hashing, storage, rotation, and revocation. This skill involves designing keys with sufficient entropy, enforcing per-key scoping, setting rate limits, and building automated workflows to prevent leakage and unauthorized access. Essential for robust server-to-server authentication.

This guide details how to implement multi-layered API threat protection using Google Apigee. It covers critical security policies including JSON/XML content validation, OAuth 2.0 enforcement, SpikeArrest rate limiting, and advanced regex patterns to defend against OWASP Top 10 threats. Ideal for establishing robust API security controls and meeting compliance requirements.

Amazon Macie is a fully managed data security service that automatically discovers, classifies, and protects sensitive data (PII, financial records, credentials) stored in Amazon S3. It uses advanced machine learning and pattern matching to identify compliance risks and enforce data governance policies. Ideal for organizations needing automated data discovery for regulatory compliance and improving overall cloud security posture.

This utility implements comprehensive Cloud Workload Protection (CWPP) by monitoring compute workloads on cloud instances (EC2/GCE). It provides runtime security controls, detecting process anomalies, unauthorized binary execution, cryptomining activity, and suspicious network connections using AWS and Google APIs. Ideal for establishing robust security postures and meeting compliance requirements.

This tool guides the deployment and configuration of the Dragos Platform for critical Operational Technology (OT) and Industrial Control System (ICS) network monitoring. It leverages over 600 industrial protocol parsers and advanced threat intelligence to detect sophisticated attacks (e.g., VOLTZITE, GRAPHITE). Use it for building an OT Security Operations Center (SOC), asset discovery, and vulnerability management in industrial settings, integrating alerts with enterprise SIEMs.

This skill guides the implementation of envelope encryption using AWS Key Management Service (KMS). Envelope encryption is a robust security pattern where data is encrypted locally using a Data Encryption Key (DEK), and the DEK itself is protected by a master Key Encryption Key (KEK) managed by AWS KMS. This approach overcomes the limitations of direct KMS encryption, enabling unlimited data size encryption, reducing latency, and allowing offline encryption capabilities by keeping the master key secure in an HSM.

This skill provides a structured framework for implementing patch management in Operational Technology (OT) and Industrial Control Systems (ICS) environments. It addresses the critical balance between cybersecurity remediation and maintaining continuous operational safety and availability. Key components include risk-based patch prioritization, vendor compatibility testing, staged deployment through test environments, managing maintenance windows, and implementing compensating controls for unpatchable assets.

Learn how to implement Runtime Application Self-Protection (RASP) agents for Java and Python web applications. This skill covers deploying OpenRASP, detecting OWASP Top 10 attacks (SQLi, XSS, RCE), configuring security policies, and integrating real-time security alerts with SIEM platforms for comprehensive defense in depth.

This skill guides the implementation of security chaos engineering experiments. It involves deliberately degrading or disabling security controls (like WAF, firewalls, or log pipelines) in a controlled environment to rigorously verify the detection, alerting, and response capabilities of the Security Operations Center (SOC). Users learn to use tools like boto3 and Python to simulate failure scenarios and assess system resilience and compliance posture.

This skill guides the process of designing, implementing, and validating advanced security detection use cases for Security Information and Event Management (SIEM) platforms like Splunk, Elastic, and Microsoft Sentinel. It focuses on mapping organizational threat profiles to the MITRE ATT&CK framework to build formal, high-fidelity detection rules, thereby strengthening Security Operations Center (SOC) coverage and reducing blind spots.

In-toto is a CNCF standard project used to verify the integrity of software supply chains. It generates cryptographically signed attestations (link metadata) at every stage of the CI/CD pipeline, proving exactly what artifacts were produced and who authorized the process. This is crucial for securing container builds and ensuring compliance against tampering.

This skill outlines how to configure rsyslog for robust, centralized log collection. It covers establishing high-availability syslog infrastructure using TLS encryption, X.509 certificate authentication, and reliable disk-assisted queuing. Learn to generate and deploy both server and client configurations for secure, segregated, and reliable security operations logging.