Maranda Harris (@marandarharris) 's Twitter Profile
Maranda Harris

@marandarharris

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calendar_today29-04-2024 21:48:20

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Maranda Harris (@marandarharris) 's Twitter Profile Photo

This is where things get interesting. Agentic payments are here — but at scale, it’s not about trust, it’s about proof. Identity, authorization, and verifiable action will become critical for these flows.

Maranda Harris (@marandarharris) 's Twitter Profile Photo

100% — transaction proof is there. The next step is proving the full context: who the agent was, what it was allowed to do, and what conditions made the action valid.

Maranda Harris (@marandarharris) 's Twitter Profile Photo

CompliFlow was selected in the Top 15 of the Yellow accelerator 🚀 We’re building a programmable governance layer for tokenized markets — enforcing compliance before execution. Excited to keep pushing this forward. Compliledger

Maranda Harris (@marandarharris) 's Twitter Profile Photo

Something I’ve been reflecting on. The goals of compliance haven’t really changed. Protect systems. Reduce risk. Ensure accountability. But the systems we operate today look very different than they did even ten or fifteen years ago. Cloud platforms. Highly automated

Maranda Harris (@marandarharris) 's Twitter Profile Photo

🚀 Launching CompliGate — the transaction authorization layer for tokenized markets Before a transaction executes, CompliGate determines: • Is it allowed? • How must it execute? • When is it valid? Compliance → BEFORE execution Phil Kwok | EasyA Dom Kwok | EasyA @EasyA_App

Maranda Harris (@marandarharris) 's Twitter Profile Photo

Trust is the currency of the agentic era. But trust isn’t created by dashboards. It isn’t created by logs. And it definitely isn’t created by compliance reports written after the fact. Trust is created by proof. As financial systems move toward tokenization and autonomous

Maranda Harris (@marandarharris) 's Twitter Profile Photo

AI agents can reason, plan, and act. They can analyze markets, execute strategies, and make decisions faster than any human. But they all hit the same wall: Trust. Not “do we trust the model?” But: • What rules did it follow? • What policy was applied at the moment of

Compliledger (@compliledger) 's Twitter Profile Photo

OWS gives agents wallets. We built CompliAGL to govern what those wallets are allowed to do. CompliAGL is an Agent Governance Layer for Open Wallets that evaluates every proposed transaction before execution and classifies it as: 🟢 Approved 🔴 Denied 🟡 Escalated Each

Compliledger (@compliledger) 's Twitter Profile Photo

We started with agent wallet governance. But the problem is bigger. Autonomous systems are starting to execute real-world actions — payments, API calls, even physical operations. Who decides what they’re allowed to do? We’re building that layer. Open Wallet Ripple @MoonPay

Maranda Harris (@marandarharris) 's Twitter Profile Photo

This is huge. x402 is solving how agents pay. But there’s a missing layer: Who decides what an agent is allowed to pay for? We’ve been building that with CompliAGL — evaluating and enforcing decisions before execution, with proof. Would love to explore how this fits into the

Maranda Harris (@marandarharris) 's Twitter Profile Photo

Giving AI agents wallets without controls is risky. Giving them execution power without governance is worse. There’s a missing layer here. We’ve been building it, CompliAGL Open Wallet Ripple MoonPay 🟣 Compliledger #Security #AI #Crypto

Maranda Harris (@marandarharris) 's Twitter Profile Photo

There’s a new problem emerging: Autonomous systems can act… but nothing governs what they’re allowed to do. We’re building the control plane for that world, CompliAGL More soon. Open Wallet Ripple MoonPay 🟣 Compliledger #AI #Agents #OWS

Maranda Harris (@marandarharris) 's Twitter Profile Photo

Tokenization is accelerating. But compliance infrastructure hasn’t caught up. Today, most digital asset systems still rely on: • point-in-time audits • static attestations • off-chain verification • trust-based reporting That model doesn’t scale in real-time,

Maranda Harris (@marandarharris) 's Twitter Profile Photo

Accepted into the EasyA XRP Las Vegas Shark Tank. Applied with CompliGate—but the real opportunity is bigger: Tokenization is scaling fast. Compliance isn’t. Most systems still rely on: • audits after the fact • off-chain checks • trust That doesn’t work in real-time

Maranda Harris (@marandarharris) 's Twitter Profile Photo

Tokenized markets are being defined by regulation — but enforcement is still manual and post-trade. Compliledger is building CompliFlow, a programmable enforcement layer that ensures only valid transactions can execute and settle on networks like Yellow Capital. Excited to