BRICS AI Economics

Category: Security

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Jul, 26 2026

Confidential Computing for Privacy-Preserving LLM Inference: A Practical Guide

Emily Fies
0
Learn how confidential computing secures LLM inference using Trusted Execution Environments (TEEs). Compare AWS, Azure, and Google Cloud implementations, understand hardware requirements, and navigate performance trade-offs for privacy-preserving AI.
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Jul, 24 2026

Procurement Checklists for Vibe Coding Tools: Security and Legal Terms

Emily Fies
6
Secure your enterprise vibe coding adoption with our comprehensive procurement checklist. We break down essential security criteria, legal IP terms, and top tool comparisons for 2026.
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Jul, 21 2026

LLM Consent Management: Protecting User Rights in AI Apps (2026 Guide)

Emily Fies
0
Explore how consent management works in LLM-powered apps. Learn about user rights, GDPR compliance, and best practices for protecting data privacy in AI applications in 2026.
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Jul, 15 2026

Prompt Injection Risks in Large Language Models: Attacks and Defenses

Emily Fies
8
Explore prompt injection risks in LLMs, including attack vectors like DAN jailbreaks and stored injections. Learn proven defense strategies such as context partitioning and input filtering to secure your AI applications.
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Jun, 8 2026

Secure Prompting for Vibe Coding: How to Ask for Safer Implementations

Emily Fies
0
Learn how to use secure prompting techniques to eliminate vulnerabilities in AI-generated code. Discover proven strategies like rules files and two-stage prompting to keep your vibe coding fast and safe.
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May, 13 2026

Secure Defaults in Vibe Coding: CSP, HTTPS, and Security Headers

Emily Fies
7
Learn how to secure vibe-coded applications with robust CSP, HTTPS, and security headers. Discover platform differences, common pitfalls, and implementation checklists to protect AI-generated code from vulnerabilities.
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Apr, 19 2026

Security Telemetry for LLMs: How to Log Prompts, Outputs, and Tool Usage

Emily Fies
10
Learn how to implement security telemetry for LLMs to prevent prompt injection, data leaks, and unauthorized tool usage through strategic logging.
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Apr, 17 2026

Telemetry and Privacy in Vibe Coding Tools: What Data Leaves Your Repo

Emily Fies
0
Explore the hidden data flows in vibe coding tools. Learn what telemetry (metrics, logs, traces) leaves your repo and how to secure your AI development workflow.
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Apr, 13 2026

How to Fix Insecure AI Patterns: Sanitization, Encoding, and Least Privilege

Emily Fies
5
Learn how to secure your AI systems by fixing insecure patterns. This guide covers prompt sanitization, context-aware output encoding, and the principle of least privilege.
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Mar, 29 2026

Risk-Based App Categories: Prototypes, Internal Tools, and External Products

Emily Fies
8
Stop wasting budget on low-risk code. Learn how to classify software into prototypes, internal tools, and external products to optimize security efforts.
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Mar, 27 2026

Robustness and Generalization Tests for Large Language Model Reliability

Emily Fies
7
Learn essential robustness testing methods for LLMs beyond standard benchmarks, including adversarial stress tests, OOD validation, and real-world deployment readiness.
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Mar, 17 2026

Security Basics for Non-Technical Builders Using Vibe Coding Platforms

Emily Fies
7
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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