Secure your engineering team's AI coding agents. Protect source code IP, API keys, customer data, and CI/CD pipelines from exfiltration and supply chain attacks.
Real-world scenarios where SecureMind protects technology companies and SaaS platforms from AI agent risks.
Prevent AI coding agents from reading, copying, or transmitting proprietary source code to cloud LLMs. File gate policies protect core IP directories while allowing AI assistance on non-sensitive code and documentation.
Block AI agents from accessing .env files, config secrets, database credentials, and OAuth tokens. SecureMind detects 40+ credential formats across AWS, GCP, Azure, Stripe, and custom patterns.
Rapidsecureclaw pre-commit hooks scan every commit for leaked secrets before code enters the pipeline. GitHub Action integration blocks PRs containing credentials, PII, or sensitive configuration data.
Enforce tenant-level data boundaries for SaaS platforms. DLP policies prevent AI agents from cross-reading tenant data directories, and egress controls block unauthorized data transmission between environments.
The optimal SecureMind deployment for engineering teams and SaaS companies.
DLP engine for source code and secret protection. Privacy mode keeps proprietary code local.
Pre-commit hooks and GitHub Actions. Taint tracking for CI/CD pipeline protection.
Shadow AI detection across engineering teams. Policy engine for approved AI tool usage.
Drop-in DLP for OpenClaw. Replaces read/exec with secure, filtered alternatives.
Local-first. Zero telemetry. Works with Copilot, Claude Code, Cursor, and every AI coding agent your team uses.