Skill UI

Tetragon, a CNCF project under Cilium, provides advanced, kernel-level runtime security observability and policy enforcement in Kubernetes clusters. By utilizing eBPF, it monitors process execution, file access, and network connections with minimal overhead, enabling detection and prevention of container escapes, unauthorized access, and suspicious activity.

A comprehensive guide for implementing SAML 2.0 Single Sign-On (SSO) using Okta as the Identity Provider (IdP). This skill covers end-to-end configuration, including SP-initiated and IdP-initiated flows, secure attribute mapping, advanced certificate management (SHA-256, AES-256), and security hardening practices required for enterprise-grade identity access management (IAM) deployments. Learn to establish robust and compliant authentication architecture.

This skill guide details how to build a robust, SCIM 2.0-compliant API endpoint to manage user identities automatically. It focuses on integrating this API with Okta as an Identity Provider (IdP), enabling automated provisioning, deprovisioning, and attribute synchronization for seamless user lifecycle management in enterprise environments.

This skill guides the implementation of Gitleaks for robust secret scanning across development lifecycles. It covers setting up pre-commit hooks to prevent secrets from being committed, integrating scanning into CI/CD pipelines (like GitHub Actions), and writing custom regex rules to detect and remediate hardcoded credentials (API keys, passwords, tokens) in Git history, ensuring adherence to secure SDLC practices.

This comprehensive guide details the deployment of HashiCorp Vault for robust, centralized secrets management in hybrid and multi-cloud environments. It covers configuring dynamic secret engines for databases (PostgreSQL) and cloud providers (AWS), integrating diverse authentication methods (OIDC, AppRole, Kubernetes), and securely delivering short-lived secrets to Kubernetes workloads via agents. The primary goal is to enforce zero-trust principles by eliminating hardcoded, long-lived credentials from application code and CI/CD pipelines.

This skill guides the integration of gitleaks and trufflehog into CI/CD pipelines. It automates the detection of hardcoded secrets, such as API keys, passwords, and tokens, preventing their accidental deployment. By integrating scans as a mandatory pre-deployment gate, organizations enforce strong security policies and maintain compliance.

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 guide demonstrates how to programmatically create, validate, and exchange complex structured threat intelligence objects (Indicators, Malware, Campaigns) using the STIX 2.1 standard and the stix2 Python library. It covers the full lifecycle of intelligence sharing, including defining patterns and publishing data via TAXII 2.1, making it essential for building sophisticated Threat Intelligence Platforms (TIPs) and integrating with SIEM/SOAR systems.

This guide details the implementation of comprehensive security monitoring using Datadog Cloud SIEM, Cloud Security Management (CSM), and Workload Protection. It covers deploying the Datadog Agent across hybrid cloud infrastructure (AWS, Azure, GCP), ingesting critical log sources (CloudTrail, VPC Flow Logs, etc.), configuring Workload Protection, and creating custom detection rules to detect threats, enforce compliance, and provide centralized SOC visibility.

Semgrep is an open-source static analysis tool used to find bugs, detect vulnerabilities, and enforce coding standards. This guide covers writing custom rules in YAML format to implement advanced SAST checks, such as detecting SQL injection, hardcoded secrets, or tracking tainted user input. It is essential for building robust DevSecOps pipelines and ensuring compliance.

This guide details how to implement advanced SIEM correlation rules to detect sophisticated Advanced Persistent Threats (APTs). By chaining multiple event types—including Windows authentication events, process execution telemetry, and network connection logs—across hosts, users can surface complex attack sequences that are invisible to single-event detections. It utilizes Splunk SPL and Sigma rule formats for robust security posture enhancement.

Systematically optimizes Security Information and Event Management (SIEM) detection rules in platforms like Splunk and Elastic. This process involves analyzing historical alert volumes, establishing environmental baselines, creating context-aware whitelists, and statistically adjusting detection thresholds to significantly reduce false positives, improving overall security efficacy.