BRICS AI Economics

Category: Security

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Mar, 17 2026

Security Basics for Non-Technical Builders Using Vibe Coding Platforms

Emily Fies
2
Non-technical builders using AI coding tools like Replit or GitHub Copilot need to understand basic security - or risk exposing secrets, data, and money. Learn the 4 must-do steps to protect your vibe-coded apps.
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Mar, 1 2026

How Synthetic Data Generation Protects Privacy in LLM Training

Emily Fies
7
Synthetic data generation lets AI models learn from realistic fake data instead of real personal information. Using differential privacy and LLMs, organizations can train systems safely without violating HIPAA, GDPR, or risking data breaches.
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Feb, 28 2026

Training Non-Developers to Ship Secure Vibe-Coded Apps

Emily Fies
9
Non-developers using AI to build apps are creating insecure systems by accident. Learn the three simple rules to prevent data leaks, avoid compliance fines, and ship apps that are both fast and safe.
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Feb, 27 2026

Privacy and Data Governance for Generative AI: Protecting Sensitive Information at Scale

Emily Fies
7
Generative AI is leaking sensitive data at scale. Learn how modern organizations are using governance-not blocklists-to protect information, comply with global laws, and empower employees safely.
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Feb, 20 2026

Security Vulnerabilities and Risk Management in AI-Generated Code

Emily Fies
5
AI-generated code is now writing half of all software, but it’s introducing critical security flaws like SQL injection, hardcoded credentials, and XSS. Learn how to detect and prevent these risks before they breach your systems.
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Feb, 6 2026

Secure Authentication Patterns for Vibe-Coded Backends: Avoid Common AI Security Pitfalls

Emily Fies
9
Learn how to secure backend systems built with AI tools like GitHub Copilot. Discover common vulnerabilities in vibe-coded auth code and proven patterns for OAuth, JWT, RBAC, and more. Avoid 63% more authorization bypass risks with expert tips and real-world examples.

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