Category: Cybersecurity & Governance - Page 2
Vibe Coding Ethics: Who Is Responsible When AI Code Fails?
Explore the ethical risks of vibe coding. Who is responsible when AI-generated code fails? Learn about security vulnerabilities, legal liabilities, and best practices for safe adoption.
Threat Modeling Vibe-Coded Apps: A Lightweight Workshop Guide for 2026
A practical guide to threat modeling for vibe-coded applications. Learn how to secure AI-generated code against logic flaws, slopsquatting, and hidden APIs with lightweight workshops.
Why Finance and Healthcare Lag in Vibe Coding Adoption: The Compliance Gap
Vibe coding struggles in finance and healthcare due to strict regulatory requirements for traceability and audit trails. Learn why AI-assisted development lags in regulated sectors and how hybrid models offer a path forward.
Secrets Scanning for AI-Generated Repos: Prevent Leaks by Default
Discover how AI-generated code increases secret leakage risks and learn to prevent leaks by default using advanced secrets scanning tools like Netlify, GitGuardian, and TruffleHog.
Third-Party Risk Management for Vendors Handling LLM Data: A Practical Guide
Learn how to protect your proprietary data when using third-party vendors for LLM operations. Discover key risks, contractual safeguards, and technical controls needed for effective AI vendor risk management.
Compliance Controls for Vibe-Coded Systems: SOC 2, ISO 27001, and More
Discover how to maintain SOC 2 and ISO 27001 compliance in AI-assisted development. Learn about vibe coding security controls, audit trails, and shift-left strategies for modern software.
Secrets Management for Vibe Coding: Stop Hardcoding API Keys
Learn how to secure vibe-coded projects by eliminating hardcoded API keys. Discover the best tools for secrets management, from .env files to cloud vaults.
Legal Review Steps for Vibe-Coded Features Handling Customer Data
Avoid million-euro fines with a rigorous legal review process for vibe-coded features. Learn the essential steps to secure customer data and ensure GDPR and CRA compliance.
LLM Risk Management: Technical Controls and Escalation Paths for AI Governance
Learn how to manage LLM risks with dynamic controls, behavioral guardrails, and clear escalation paths to ensure AI governance and safety.
Differential Privacy in LLM Training: Balancing Data Protection and Model Performance
Explore how Differential Privacy protects sensitive data in LLM training. Learn about DP-SGD, the epsilon-delta tradeoff, and how to balance privacy with model accuracy.
COPPA and Generative AI: Navigating Children's Data Privacy Rules
Learn how the 2025-2026 COPPA updates change data collection for Generative AI. Discover new rules on parental consent, biometrics, and data retention to avoid FTC penalties.
Building PII Detection and Redaction Pipelines for LLMs
Learn how to build PII detection and redaction pipelines for LLMs using hybrid Regex/NER methods and tools like Microsoft Presidio to ensure data privacy.
