Category: AI Security
Safety Use Cases for Large Language Models in Regulated Industries: A Practical Guide
Explore how Large Language Models enhance safety in regulated industries like construction and healthcare. Learn about key use cases, security challenges, and the three pillars of regulatory-grade AI.
LLM Data Residency Compliance: A Global Guide for 2026
Navigate 2026 LLM data residency laws. Learn how GDPR, PIPL, and DPDP impact AI architecture, costs, and compliance strategies for global deployments.
Triaging Vulnerabilities in Vibe-Coded Projects: Severity, Exploitability, and Impact
Discover how to triage vulnerabilities in vibe-coded projects. Learn to assess severity, exploitability, and impact using modern frameworks and benchmarks like SusVibes.
Safe File Uploads in Vibe-Coded Web Apps: Validation and Storage Rules
Learn how to secure file uploads in AI-built apps. Discover validation rules, storage best practices, and prompt engineering tips to prevent path traversal and other critical vulnerabilities in vibe-coded web applications.
Prompt Injection Risks in Large Language Models: Attacks and Defenses
Prompt injection poses severe risks to LLM applications. Learn about attack types like DAN and HouYi, defense strategies including context partitioning, and industry trends shaping AI security in 2026.
Safety and Harms Evaluation for Large Language Models in Production: A Practical Guide
A practical guide to LLM safety evaluation in production. Learn about key frameworks like CASE-Bench and HELM, regulatory compliance with the EU AI Act, and how to mitigate bias and toxicity risks.
Incident Response for AI-Introduced Defects and Vulnerabilities: A Practical Guide
A practical guide to incident response for AI-introduced defects and vulnerabilities, covering CoSAI frameworks, prompt injection, and data poisoning prevention.
GDPR and CCPA in Vibe-Coded Systems: Data Mapping and Consent Flows
Navigate GDPR and CCPA compliance in vibe-coded systems. Learn how to automate data mapping, design robust consent flows, and mitigate privacy risks in AI-generated code.
Data Residency vs LLM Deployment: API vs Open-Source in 2026
Navigate 2026 data residency laws for LLMs. Compare API vs open-source deployment choices under the EU AI Act and global regulations. Learn architectural strategies for compliance.
Setting Expectations Responsibly: A Guide to User Education on LLM Limitations
Explore essential strategies for educating users on LLM limitations, including mitigating hallucinations, addressing algorithmic bias, and preventing overreliance through transparent, practical training methods.
Secure Vibe Coding: Security Basics for Non-Technical Builders
Learn essential security basics for non-technical builders using vibe coding platforms. Protect your AI-generated apps from secret exposure, XSS, and other vulnerabilities with practical tips.
Security Code Review for AI Output: Checklists for Verification Engineers
Expert guide for verification engineers on auditing AI-generated code. Includes detailed security checklists, SAST integration strategies, and vulnerability patterns.
