Dezifi - Build AI agents your security team will approve

Hey Product Hunt 👋 I'm Yubraj, founder of Dezifi. We started building this after watching the same thing happen at company after company: an AI agent demo gets built in a week, then spends six months in security review before it ever sees a real user. Or it never does. The 89% pilot-to-production failure rate everyone's quoting isn't a model problem — it's a "we don't know what this agent actually did" problem. Dezifi is the platform we wished existed for that bottleneck. → Visual builder for single agents and multi-agent workflows (sequential, map-reduce, manager-worker patterns) → 140+ tool integrations via MCP — GitHub, Slack, Jira, ServiceNow, Splunk, Salesforce, the works → Container-per-session sandboxing so an agent can't reach anything it wasn't supposed to → Runtime guardrails and policy gates at every step of execution → Tamper-evident audit trail of every decision, tool call, and LLM interaction — exportable for compliance reviews Our first paying customer is a SEBI-regulated investment firm in India running this in production for customer support. They needed something that worked, that they could prove worked, and that wouldn't fail their next audit. That's been our bar from day one. We're early. The SDK has rough edges, our integration count is good but not yet best-in-class, and there's a lot we want to ship next (better eval tooling, deeper observability, more frameworks). I'd genuinely love feedback — especially the painful kind. What's broken about agent platforms you've tried? What do you wish someone would just fix? Demo: dezifi.ai Happy to answer anything in the comments. — Yubraj