Trusted Agents
As AI agents start acting on your behalf — placing orders, moving payments, executing workflows — PryvX brings policy-based verification to every step, using Trusted Execution Environments and Zero-Knowledge Proofs so agents can prove compliant behavior without exposing the private data or credentials behind it.
Policy-Enforced Execution
Every agentic action runs inside a TEE against a defined policy — an agent can't act outside its authorized boundaries, even if compromised.
Zero-Knowledge Verification
Agents prove a transaction or decision meets required conditions — funds, authorization, compliance — without revealing the underlying account or identity data.
Auditable Agentic Flows
Every agent action is independently attestable and logged, so commerce and payment flows stay accountable without a human in every loop.
How It Works
From agent action to a verified outcome, in four steps
Define Policy
Set the boundaries an agent may operate within — spending limits, approved counterparties, required checks.
Execute in TEE
The agent's action runs inside a hardware-isolated enclave, evaluated against policy in real time.
Prove Compliance
A zero-knowledge proof attests the action met policy — without revealing the account, identity or payment details behind it.
Release Verified Action
Only the verified outcome — approved, denied, executed — is returned, never the private data the decision was based on.
Where It's Used
Anywhere an autonomous agent needs to act, provably within bounds
Agentic Payments
Let an AI agent initiate and approve payments within hard policy limits, provably compliant without exposing account data.
Autonomous Commerce
Agents negotiate and complete purchases on a user's behalf, with every step independently verifiable.
Multi-Agent Workflows
Coordinate agents across organizations on shared workflows without any party exposing its private data to the others.