Perspectives on AI Trust and Governance
Original thinking from the Insygna team on AI agent governance, trust infrastructure, enterprise verification, and the future of the AI workforce.
Why the HR Tech Industry Needs Insygna
Many HR tech startups are building better versions of things that already exist. Valuable work. But if every one of them stopped building tomorrow, the enterprise would keep running.
Read moreSchrödinger's AI Agent
An AI agent is both code and worker. The moment you try to manage it, you have to choose. That choice will have consequences.
Read moreWhat Is Agentic Workforce Management?
AI agents are software and workers at the same time. That's a new paradigm, and it changes who owns governance. Insygna is building the infrastructure for the functions that have always managed the external workforce: HR and Procurement.
Read moreAgentic Workforce Management™ - A Framework for Acquiring, Onboarding, Managing, and Offboarding AI Agents in the Enterprise
Autonomous AI agents are now a core part of the enterprise workforce, taking actions and making decisions without human involvement in each transaction. No management discipline exists for governing them. This paper introduces Agentic Workforce Management™ (AWM™), a formal framework for acquiring, onboarding, managing, and offboarding AI agents before ungoverned deployments become an operational and regulatory liability.
Read moreThe EU AI Act makes one thing clear: ungoverned agents are a liability.
Deeploy's AI Governance & Control Framework whitepaper is one of the most practical guides we've seen on operationalizing EU AI Act compliance. Here's what it means for enterprises deploying autonomous AI agents, and why identity is where governance has to start.
Read moreThe Matching Trap: Why AI Hiring Technology Is Eating Itself, and What Needs to Be Built Instead
AI hiring technology is caught in an arms race it cannot win. Here is why the model is broken, what it should actually be used for, and what needs to be built instead.
Read moreThe Agentic AI Workforce Has No Universal ID. Insygna Built One.
Insygna emerges from stealth to help organizations solve agentic AI governance and accountability problems.
Read moreWho's Managing Your AI Employees? New Infrastructure Category Emerges Around Agent Accountability
New analysis finds current AI governance tools unprepared for multi-agent deployments — just months before EU AI Act enforcement begins.
Read moreThis Founder Built an AI Company Before the Market Was Ready. He's Doing It Again.
Serial AI founder Michael Beygelman returns with a new venture called Insygna, targeting the trust and identity gap in enterprise agentic AI deployments.
Read moreAgentic AI Governance Is a Real Problem And This Startup Is Solving It
Insygna launches to provide the identity and trust layer enterprises need as autonomous AI agents enter the workforce at scale.
Read moreInsygna Targets the Accountability Gap in Agentic AI To Solve This Growing Problem
Insygna is building agent identity and credentialing infrastructure to close the governance gap regulators haven't yet caught up with.
Read moreThe Emerging AI Workforce Has No HR Department
In 2024, the conversation about AI in the enterprise was largely about copilots and assistants, tools that helped humans work faster. In 2025, the conversation shifted to agents, systems that work autonomously, execute multi-step tasks, and operate inside enterprise systems without a human in the loop for every action.
Read moreReady to manage your AI agent workforce?
Join HR and procurement leaders that are taking control of their company's AI agent strategy by using Insygna's Agentic Workforce Management™ platform.