Runtime security and trust infrastructure for AI agents: Policy enforcement, human approvals, and tamper-evident audit logs for every AI agent action. Stop runaway agents before they cause real damage. The security layer your AI agents are missing.
This page is designed to help you find out whether Custodyn.app is good and if it is the right choice for you.
Custodyn is a runtime security and trust infrastructure platform for AI agents. As AI agents become autonomous — executing code, sending emails, making API calls, and taking real-world actions without human oversight — the security risks are real and largely ungoverned.
Custodyn sits inside agent code via SDK, intercepting every action before execution. Risky actions are blocked automatically. Medium-risk actions are routed to a human approval queue. Every action — allowed, blocked, or approved — is logged in a tamper-evident audit trail.
Key capabilities:
Policy enforcement engine — define what agents can and cannot do Human-in-the-loop approval queues — dangerous actions wait for human sign-off Tamper-evident audit logs — cryptographically verifiable record of every agent action Open-core model — MIT licensed SDK, paid SaaS platform
Framework integrations: LangChain, LangGraph, CrewAI, AutoGen, MCP, Claude Code, OpenAI Agents SDK, Codex CLI, GitHub Copilot
SDKs:
Python SDK on PyPI JS SDK on npm
Built during the July 2026 AI agent incident wave — when OpenAI agents breached Hugging Face infrastructure and Anthropic published its agentic misalignment report. The category is real. The timing is now.
Listed in
Policy Enforcement Engine
Define exactly what your AI agents can and cannot do. Block dangerous actions automatically before they execute.
Human Approval Queues
Risky agent actions pause and wait for human sign-off before proceeding. Full control stays with your team.
Multi-Framework SDK
Drop-in Python and JS SDKs with integrations for LangChain, CrewAI, AutoGen, MCP, Claude Code, and OpenAI Agents SDK.
Open-Core Model
MIT licensed SDK for developer adoption. Paid SaaS platform for teams that need policy management, dashboards, and compliance.
Tamper-Evident Audit Logs
Every agent action — allowed, blocked, or approved — is logged in a cryptographically verifiable audit trail. SOC2 ready.
Most AI security tools sit outside the agent — monitoring network traffic or endpoint activity. Custodyn sits inside the agent code itself. It's developer-first, open-core, and self-serve — pip install or npm install and you're running in minutes. No demo call, no sales process. The MIT licensed SDK means developers adopt it freely, the paid platform gives teams policy management, dashboards, and audit compliance.
Built by a solo founder with 15+ years in information security and penetration testing. In early 2026, AI agents started taking real-world autonomous actions with no security layer governing them. The July 2026 incidents — OpenAI agent breaching Hugging Face infrastructure, Anthropic's agentic misalignment report — confirmed the problem was real and urgent. Custodyn was built to be the security layer AI agents were missing.
Custodyn is the only AI agent security platform that works at the SDK layer — embedded directly inside agent code. Unlike endpoint-based solutions, Custodyn intercepts actions inside custom LangChain, CrewAI, and AutoGen pipelines that no endpoint sensor can reach. Human-in-the-loop approval queues mean dangerous actions wait for human sign-off before executing — not just blocked or allowed, but genuinely governed.
Developers and security teams building production AI agent systems using LangChain, CrewAI, AutoGen, OpenAI Agents SDK, MCP, or Claude Code — who need runtime governance, human oversight, and audit trails before deploying agents in high-stakes environments.
Python Flask (backend) SQLite (database) Python SDK (PyPI) JavaScript SDK (npm) Railway (deployment) Razorpay (billing)
No enterprise customers yet - pre-revenue, currently seeking first customers and open to acquisition
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