We believe security shouldn't depend on your model choice. Five products. Complete AI agent security coverage.
AI coding assistants are running on developer machines with full access to .env files, API keys, SSH keys, customer PII, and source code. Every compliance framework — PCI-DSS, SOX, HIPAA — requires strict controls over sensitive data access. AI agents bypass every one of them.
SecureMind is a platform of five specialized products: Agnostic Security (DLP + privacy), Breach-Intel (compliance + breach intelligence), Sentinel (monitoring + knowledge graph), Rapidsecureclaw (rapid response + containment), and Security Plugin (OpenClaw DLP plugin). Together they cover the full AI agent security lifecycle — model-agnostic, local-first, and operational in 30 seconds.
Give every development team enterprise-grade DLP for their AI coding assistants — without vendor lock-in, cloud dependencies, or changes to existing workflows. Security that works with any LLM, any IDE, any deployment model.
A world where AI agents are as accountable as human developers. Every file access logged, every command audited, every prompt screened — automatically, transparently, and without slowing anyone down.
Every security decision is logged, explained, and auditable. No black boxes.
SHA-256 hash chains, immutable writes, tamper detection on every read.
Install the extension, security is active. Zero config, zero code changes.
The full security engine is open source. Enterprise features layer on top.
We watched AI coding assistants get deployed across enterprise teams with zero security controls. Copilot could read .env files. Claude Code could execute cat ~/.ssh/id_rsa. LangChain agents could exfiltrate customer data through API responses. Every compliance framework was being violated silently.
The existing solutions were vendor-specific (GitHub's content exclusions only work with Copilot), reactive (secret scanning catches committed secrets, not prevented reads), or required massive infrastructure changes.
That gap was the startup. We stopped researching and started building — five specialized products (Agnostic Security, Breach-Intel, Sentinel, Rapidsecureclaw, Security Plugin) forming a model-agnostic security suite that intercepts file reads, commands, prompts, API calls, and responses across ALL AI coding tools. Seven layers of defense, working with any LLM provider, running entirely on the developer's machine.
The result: install once, everything is protected. Swap from Copilot to Claude Code to Cursor — same DLP policies, same audit logs, same compliance rules.
Co-Founder
Co-Founder
Co-Founder
Open Roles
Built the initial DLP plugin for OpenClaw — file read gate, exec command guard, and prompt intent analysis.
Launched the FastAPI security proxy supporting OpenAI, Anthropic, Gemini, Azure, and GitHub Models with PII redaction and injection detection.
Shipped the Copilot guardrail extension with multi-assistant support (Copilot, Cursor, Windsurf, Cody) and a Chrome DLP guard for browser-based AI tools.
Extracted the DLP engine into a reusable package. SecureMind and SecurityAgent both consume the same core.
Added system prompt masking, media filtering, AES-256-GCM session encryption, and modifying output pipeline. False-positive elimination across the full DLP stack. 500+ automated tests.
Shipped taint tracking, egress allowlist, lethal trifecta detector, tool call argument scanning, and code scanner for embedded secrets.
Launched intelligent LLM routing (14 models, 4 providers, 5 strategies), admin console with RBAC, agent enrollment, and org-wide policy management.
Launched securemind.live as the unified platform with five products. 55-agent Docker red-team harness (84 events, 100% detection). 6-layer Ingress Guard for external agent defense. 724+ automated tests across 24 suites. 274 attack techniques + 55 Docker agents.
Whether you're using Copilot, Claude Code, Cursor, or LangChain — we'd love to hear from you.