security-and-hardening

Threat modeling for serverless Go and Terraform architectures uses the STRIDE methodology to identify trust boundaries and potential attack vectors across the entire development lifecycle. This skill provides a structured framework to map out and mitigate injection, unauthorized access, and data leak vulnerabilities before production deployment.

Enforcing least-privilege IAM policies in cloud-native applications involves applying actionable security hardening patterns to infrastructure configuration and secure secret management. This skill offers specific patterns to restrict permissions tightly and satisfy OWASP compliance requirements for serverless environments.

Security hardening for LLM-integrated applications provides specific guardrails designed to prevent prompt injection and excessive agency. This skill includes dedicated controls for AI-integrated applications to ensure large language model interactions remain securely bounded within cloud-native architectures.

Secure supply chain management for Terraform-based cloud configurations is fully supported to prevent vulnerabilities from reaching production. The skill implements comprehensive hardening across the development lifecycle, covering initial design, input validation, and infrastructure configuration to satisfy OWASP compliance.

Validating inputs to prevent injection vulnerabilities in serverless Go applications requires applying actionable security hardening patterns during the development lifecycle. This skill offers structured threat modeling and validation controls to proactively block injection attacks before they reach production.