A Security Review Checklist for AI-Generated Code, Based on Veracode's 2026 Data
Veracode's July 2026 report says models write correct syntax and weak security. Where it fails most, and a reviewer checklist that targets those exact spots.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Veracode's July 2026 report says models write correct syntax and weak security. Where it fails most, and a reviewer checklist that targets those exact spots.
Step by step setup for the Safeguard MCP server in Claude, Cursor and ChatGPT, plus OAuth versus MCP keys, tool gating, and what a fresh workspace can see.
Safeguard can run with Full AI, Zero AI, or a model you bring yourself, including on-prem and local. How to choose, and what each choice means for your code.
Already work in Claude or ChatGPT? Connect it to Safeguard over MCP and keep using the model you chose. Setup steps and what to check.
Design rules for AI agents whose tools touch machines: read first, propose second, act only with approval, and keep a stop that does not depend on the agent. Based on CISA, OWASP and EU texts.
Five regulations and guidance documents already say what to log for machines and AI. A field list, a tamper-evident chain you can build in a few lines, and the retention periods in EU machinery law.
Claude plans publish prices but not token limits. Here is what Anthropic's own pages say, and how to turn a plan price into API list price terms you can compare.
OpenAI publishes plan prices and estimated message counts, not token caps. Here is what its pages say and how it compares with API list prices.
Google and Mistral publish consumer plan prices and API token prices on separate pages. Here is how they line up, what each vendor does not publish, and the dated price changes Google lists.
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