Blog
Practical guides on securing AI development workflows, preventing data leaks, and staying compliant.
AI DLP for Developers: How to Prevent Data Leaks in LLM Workflows
Traditional DLP can't protect AI prompts. Learn how AI-native Data Loss Prevention works, why developers need it, and how to implement it without slowing down your workflow.
Read moreWhat Is Generative AI? A Practical Guide for Engineering Teams
Generative AI creates text, code, and images from prompts — but it also creates new security risks. Learn how generative AI works, where it's used in software development, and what your team needs to know.
Read moreAI Data Security: How to Protect Sensitive Data in AI Workflows
AI tools process sensitive data every day. Learn practical strategies for securing data in AI workflows — from prompt scanning to access controls and compliance frameworks.
Read more7 AI Security Risks Every Engineering Team Should Know in 2026
AI tools introduce new attack surfaces and data exposure risks. Here are the 7 most critical AI security risks for engineering teams and how to mitigate each one.
Read moreWhat Is AI Security? A Complete Guide for Development Teams
AI security protects AI systems from attack and prevents AI tools from exposing sensitive data. Learn the key concepts, threat models, and practical controls for engineering teams.
Read moreData Privacy and Security in the Age of AI Tools
AI tools process billions of prompts containing private data. Learn how to maintain data privacy and security when your team uses AI coding assistants, chatbots, and copilots.
Read moreWhat Is Data Governance? How It Applies to AI Tool Usage
Data governance ensures data is managed consistently and securely across your organization. Learn how to extend your data governance framework to cover AI tools and LLM usage.
Read morePrompt Injection vs. Data Leakage: The Two AI Threats Your Team Must Understand
Prompt injection and data leakage are distinct AI security threats that require different defenses. Learn the difference, real-world examples, and how to protect against both.
Read moreHIPAA Compliance for AI Coding Tools: What Healthcare Dev Teams Must Know
Healthcare developers using ChatGPT, Copilot, or Cursor risk HIPAA violations every time they paste code containing PHI. Here's how to stay compliant.
Read moreShadow AI: The Hidden Risk of Unauthorized AI Tool Usage in Your Organization
92% of developers use AI coding tools, but only 34% of organizations have AI usage policies. Here's how shadow AI creates security blind spots and what to do about it.
Read moreHow to Secure VS Code, Cursor, and Copilot: A Developer's Guide
Step-by-step guide to securing AI coding assistants in your IDE. Covers VS Code, Cursor, GitHub Copilot, and Claude Code with practical configurations and scanning setup.
Read moreWhat to Do When a Secret Leaks to an AI Tool: Incident Response Playbook
An API key, database password, or customer PII was sent to ChatGPT or Copilot. Here's a step-by-step incident response plan to contain the damage.
Read moreHow to Secure Cursor IDE: Complete Data Protection Setup Guide
Cursor sends your code to AI APIs with every keystroke. Here's how to set up PII and secret scanning so sensitive data never leaves your machine.
Read moreHow AI Coding Assistants Leak Your Secrets (and How to Stop It)
Developers paste API keys, database credentials, and customer PII into AI prompts every day. Here's how data leaks happen and what your team can do about it.
Read moreAI Data Retention Policies Compared: OpenAI vs Anthropic vs Google vs GitHub (2026)
What happens to your code after you send it to ChatGPT, Claude, Gemini, or Copilot? We compare data retention, training opt-outs, and privacy policies across major AI providers.
Read moreCCPA Compliance and AI Coding Tools: Protecting California Consumer Data
If your application handles California residents' data, sending it to AI coding tools could violate CCPA. Here's what developers and compliance teams need to know.
Read moreGDPR Compliance When Using AI Coding Tools: A Developer's Guide
Using ChatGPT or Copilot at work? Here's what GDPR says about sending personal data to AI providers, and how to stay compliant without slowing down.
Read morePII Detection: Why Regex Alone Isn't Enough
Regular expressions catch the obvious patterns, but real-world PII comes in formats that regex can't handle. Here's why ML-powered detection matters.
Read moreSOC 2 Audit Checklist for Teams Using AI Coding Tools
Preparing for a SOC 2 audit and your team uses ChatGPT, Copilot, or Cursor? Here's what auditors will ask and how to demonstrate compliance.
Read more5 Ways Developers Accidentally Leak API Keys to LLMs
API keys end up in AI prompts more often than you'd think. Here are the five most common ways it happens and a practical prevention strategy.
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