Results for “produktsicherheit”

Secure Django applications against common vulnerabilities with production-ready settings, authentication, authorization, and input validation.

Detects fail-open insecure defaults (hardcoded secrets, weak auth, permissive security) that allow apps to run insecurely in production. Use when auditing security, reviewing config management, or analyzing environment variable handling.

Simulate and detect software supply chain attacks including typosquatting via Levenshtein distance, dependency confusion testing, package hash verification, and vulnerability scanning with pip-audit.

Hardens Django applications against common vulnerabilities with production settings, authentication, authorization, SQL injection and XSS prevention, and secure deployment configurations.

Assess software supply chain security by generating SBOMs, scanning dependencies, auditing CI/CD pipelines, analyzing container images, and verifying vulnerability reachability.

Deploy Llama Guard, NeMo Guardrails, and LLM Guard as runtime input/output scanners to block jailbreaks, prompt injection, and toxic content in production LLM applications.

Routes security, compliance, and threat-intelligence tasks to specialized sub-skills for threat modeling, penetration testing, incident response, and vulnerability scanning.

Generate CycloneDX and SPDX SBOMs from container images and filesystems, scan them for vulnerabilities with Grype, and sign attestations with Cosign for supply-chain trust.

Implements container security with image scanning, runtime protection, image signing, and security policies using tools like Falco, Trivy, and Notary.