
Building a Threat Model for Your AI App in 30 Minutes
A practical, developer-focused guide to AI threat modeling. Map attack surfaces, prioritize risks, and secure your app in under 30 minutes.
Insights, tutorials, and best practices for secure development

A practical, developer-focused guide to AI threat modeling. Map attack surfaces, prioritize risks, and secure your app in under 30 minutes.

Vector database security: how embedding inversion and missing tenant isolation leak RAG data, and how to secure Pinecone, Weaviate, Milvus, and pgvector deployments.

Learn CI/CD security best practices: how to secure pipelines, protect secrets, avoid supply-chain attacks, and harden GitHub Actions for safer deployments.

Understand injection attacks like SQLi and NoSQLi, why they're still dangerous, and how to prevent them in your apps.

ARTEMIS is an autonomous AI red teaming system that finds real-world software vulnerabilities by thinking like an attacker.

Learn how to run a free five-minute security audit on your Lovable project using Rafter. Secure your AI-generated code, fix vulnerabilities fast, and ship safely.

Master the most common security vulnerabilities and learn how to prevent them. A comprehensive crash course on web application security.

A step-by-step guide to AI security incident response for developers — from prompt injection to key rotation, shutdown, and post-mortem.

A curated list of AI security tools and frameworks for indie devs — from prompt injection defenses to evals and access control.

Automated security scanning covers SAST, SCA, DAST, and secret scanning, running in CI, pre-commit, and on the pull request. Set it up in minutes.

Learn what cryptographic failures are, why they expose sensitive data, and how to avoid weak encryption in your apps.

Outdated libraries like Log4j caused massive breaches. Learn how to protect your app from vulnerable components.
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