Most people still think AI agents are just fancy chatbots and that mindset is dangerous. If an AI agent can book a hotel or call an internal API, it needs the same guardrails as a human. 🪪 That means real identity. 🔎 That means scoped access. 🔐 That means Zero Trust. In a recent project, Microsoft and WSO2 built an enterprise-grade multi-agent system where every AI agent gets a digital ID. Complete with OAuth2 access tokens, token introspection, and scope-limited permissions. Every action must be authorized. Every step is auditable. Nothing happens “just because the agent asked nicely.” The system uses: ➡️ GPT-4 on Azure OpenAI ➡️ AutoGen for multi-agent orchestration ➡️ WSO2 Asgardeo for identity and access ➡️ A new SecureFunctionTool that forces agents to authenticate before touching sensitive APIs This isn’t some vague concept. The full hotel-booking scenario is live and open-sourced. ✔️ You can clone it. ✔️ Test it. ✔️ Build on top of it. And the best part? It aligns with Microsoft’s upcoming Entra Agent ID — meaning future-proof integration is just config away. Zero Trust isn’t a nice-to-have for AI agents. It’s the only way forward. ➡️ See the full breakdown + working repo here: https://lnkd.in/grxh5PKb ➡️ Clone the solution and try it yourself ➡️ Give your agents their ID cards #AIsecurity #ZeroTrust #AzureAI #OpenSource #IdentityManagement
Scaling trust with tokenized identity solutions
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Summary
Scaling trust with tokenized identity solutions means using secure, digital tokens to verify individuals and organizations across networks, making it easier to build trust and manage permissions in everything from finance to AI agents. By anchoring identity to portable, auditable credentials, organizations can automate compliance and safely coordinate transactions at scale.
- Implement identity tokens: Assign digital IDs to users and agents to ensure that every action is authorized and traceable.
- Align trust frameworks: Connect different systems with shared standards so identities and compliance requirements travel seamlessly across borders and industries.
- Automate risk and dispute resolution: Embed rules and risk models into transactions so disagreements can be resolved quickly and transparently.
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Programmability is easy. Trust at scale is hard. And if we don’t get the second one right, the first one will just fail faster. Most of the industry talks about tokenization as if it’s the finish line. It’s not. The hard part is coordinating identity, rules and risk across networks. That’s the trust layer and without it, tokenization is just a faster way to fail. We’ve seen this movie before. In aviation’s golden age, faster planes didn’t make flying safer. Pilots still needed air traffic control and someone to make sure everyone was operating from the same map, following the same rules and avoiding mid-air collisions. Finance is no different.Without an agreed “air traffic control” layer, faster settlement and programmable money just increase the speed of errors, fraud, and disputes: • Fraud moves at light speed—instant payments clear before banks can coordinate a stop. • Cross-border settlements go out of sync when different ledgers follow different rules, creating instant disputes. • Smart contracts execute flawlessly on one network but fail compliance checks on another, locking assets in limbo. Speed without coordination doesn’t just fail it fails faster. Here’s where trust breaks down without coordination: 🔍 Identity — Who’s actually on the other side of the transaction? 📜 Rules — Are we following the same compliance and settlement protocols? ⚠️ Risk — Who carries liability when something goes wrong? Solving that coordination problem means building trust that isn’t hard-wired for one-to-one connections. It has to be modular and composable. That means networks can plug into each other, build on each other’s capabilities, and coordinate without custom wiring for every connection. But composability cuts both ways. Without a shared trust layer, connecting systems quickly can also connect their vulnerabilities. The goal isn’t just faster infrastructure. It’s better coordination without concentration. Get that wrong, and we end up with a “tech-n-oligarchy” that looks decentralized on the surface but reinforces old power dynamics underneath. Get it right, and we create open, transparent trust standards that make composability safe—scaling trust, not just technology. A real trust layer would: 1. Anchor every transaction to verified, portable identity. 2. Embed rules so compliance travels with the asset. 3. Share risk frameworks so disputes resolve automatically. 4. Orchestrate actions across ledgers, networks, and participants. Without this, “programmable finance” is just speed without safety. With it, we can build a once-in-a-generation public infrastructure for global finance. So here’s the question: Who’s going to be the ATC for digital finance? And will the trust layer be open, or just another closed system?