Category: Security

Oct, 26 2026

Vibe Coding Security: What Buyers Must Assess Before Adoption

Emily Fies

Discover the hidden security risks of vibe coding platforms. Learn why static analysis fails, compare major tools like GitHub Copilot and Cursor, and get a buyer's checklist to secure your AI-assisted development workflow.

Oct, 20 2026

Output Filtering: Blocking Sensitive and Harmful LLM Responses

Emily Fies

Discover how output filtering protects AI applications by blocking harmful or sensitive LLM responses. Learn about layered defense strategies, PII detection, and tools like AWS Bedrock and Cloudflare.

Oct, 9 2026

Red Teaming Prompts for Generative AI: Finding Safety and Security Gaps

Emily Fies

Discover how red teaming prompts uncover safety gaps in generative AI. Learn the differences from pen testing, key attack vectors like prompt injection, and how to integrate adversarial testing into your CI/CD pipeline for robust AI security.

Aug, 16 2026

GDPR and CCPA in Vibe-Coded Systems: Data Mapping and Consent Flows

Emily Fies

Learn how to manage GDPR and CCPA compliance in vibe-coded systems. Discover strategies for automated data mapping, consent flow design, and avoiding privacy pitfalls in AI-generated code.

Aug, 13 2026

Third-Party Risk Management for Vendors Handling LLM Data: A 2026 Guide

Emily Fies

Protect your LLM data with robust third-party risk management. Learn how to assess AI vendors, mitigate model poisoning risks, and ensure compliance in 2026.

Jul, 26 2026

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

Emily Fies

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.

Jul, 24 2026

Procurement Checklists for Vibe Coding Tools: Security and Legal Terms

Emily Fies

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.

Jul, 21 2026

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

Emily Fies

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.

Jul, 15 2026

Prompt Injection Risks in Large Language Models: Attacks and Defenses

Emily Fies

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.

Jun, 8 2026

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

Emily Fies

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.

May, 13 2026

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

Emily Fies

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.