Dam Secure is an IDE-native application security tool designed to enforce security standards on AI-generated and human-written code in real time, before code is pushed to a repository. Core Functionality: - Allows security and engineering teams to define security rules and requirements in plain English - Enforces those rules directly inside the developer's IDE, catching violations at the point of code creation - Detects logic-level security flaws (e.g., broken authentication) that traditional static analysis scanners miss Key Problems Addressed: - The scaling gap between developer output (especially AI-generated code) and available AppSec reviewers - High false positive rates from legacy scanners that erode developer trust - The "scan and scold" CI/CD loop that forces context-switching and slows development velocity - Security standards living in documents that are ignored during development How It Works: - Security requirements are written in plain English and translated into enforceable rules - Rules are applied as "paved roads" — predefined, approved patterns teams are expected to follow - Violations are surfaced as actionable alerts inside the IDE, not in a post-commit pipeline - Reduces false positives to provide alerts developers can act on immediately Target Users: - Engineering and AppSec teams dealing with high volumes of AI-generated code - Organizations with high developer-to-AppSec ratios seeking to scale security coverage without additional headcount Current Status: - In early access / private testing phase as of the time of this analysis