Category: AI Regulation & Compliance - Page 2

AI Code Is Guilty Until Proven Secure: A Policy Framework for Teams

Learn how to implement a 'guilty until proven secure' policy for AI-generated code. This guide covers zero-trust frameworks, NIST AI RMF alignment, and technical controls to protect your team from AI-induced vulnerabilities.

Generative AI Audits: Independent Assessments, Certifications, and Compliance Guide

Learn how independent AI audits ensure compliance with EU AI Act, NIST RMF, and ISO standards. Discover steps to prepare for generative AI certifications.

State-Level Generative AI Laws: California, Colorado, Illinois, and Utah (2026 Guide)

Navigate the complex patchwork of US state-level generative AI laws. This guide details the strict transparency and accountability requirements in California, the insurance-focused rules in Colorado, biometric protections in Illinois, and the minimal approach in Utah.

Compliance Controls for Vibe-Coded Systems: SOC 2, ISO 27001, and More

Learn how to maintain SOC 2 and ISO 27001 compliance in the era of vibe coding. Discover technical controls, audit trail strategies, and implementation steps for securing AI-generated code.

How Ethical Review Boards for Generative AI Work: Process, Criteria, and Real Outcomes

Discover how Ethical Review Boards for Generative AI function, including their composition, the 7-step review process, key selection criteria, and real-world outcomes in mitigating risk and ensuring compliance.

Training Data Disclosures for Generative AI: New Rules and Strategies for 2026

California's AB 2013 mandates training data disclosures for generative AI. Learn the 12 required data points, strategies to protect trade secrets, and how to comply by 2026.

Template Repos with Pre-Approved Dependencies for Vibe Coding: A Governance Guide

Explore how template repos with pre-approved dependencies govern vibe coding workflows, ensuring security, consistency, and compliance in AI-assisted development.

Privacy by Design Prompts: How to Instruct AI to Limit Data Collection

Learn how to use Privacy by Design prompts to instruct AI models to limit data collection. Explore practical steps, core principles, and real-world examples to protect your privacy in the age of generative AI.

Content Moderation Laws and Generative AI: Platform Duties and Safe Harbors

Explore how new content moderation laws impact generative AI platforms. Learn about platform duties, the shift from safe harbors, and the hybrid moderation models shaping the future of online safety.

How to Conduct Privacy Impact Assessments for Large Language Model Projects

Learn how to conduct Privacy Impact Assessments for Large Language Model projects. This guide covers the EDPB framework, team requirements, and tools to mitigate AI privacy risks.

Access Control for Vibe Coding Tools: Securing Data Privacy and Repository Scope

Secure your vibe coding projects with robust access control strategies. Learn how to enforce data privacy, manage repository scope, and govern AI agent permissions to prevent security breaches.

Legal Review Guide for Vibe-Coded Features and Customer Data

Learn the essential legal review steps for vibe-coded features to avoid GDPR fines and security breaches when handling customer data in AI-generated software.