Idea
Trusted AI agent platform securing multi-tenant cloud deployments with verifiable cross-principal trust and policy-driven data protection.
Research Paper
Core Innovation
This paper introduces Omega, a system that extends Confidential VMs and GPUs to enable nested isolation and cross-principal trust for AI agents. It uniquely combines differential attestation and a policy enforcement framework to supervise all external interactions, ensuring data protection and regulatory compliance in multi-agent cloud environments.
Why It Matters
Cloud AI agents increasingly handle sensitive data and complex interactions, raising risks of data leakage and tampering. Omega's trusted platform ensures secure, compliant multi-agent deployments at scale, reducing operational risk and enabling broader adoption of autonomous AI services in regulated industries. This transforms cloud AI workflows by providing verifiable trust and supervised agent behavior across diverse stakeholders.
Market Size (TAM)
$20–50B TAM for cloud AI security platforms; $2–10B SAM from cloud providers and regulated enterprises. Driven by rising AI adoption and regulatory compliance needs.
Potential Customers & Pain Points
- Cloud service providers – Need secure multi-tenant AI agent hosting
- Enterprises with sensitive data – Require compliance and data protection
- Regulated industries (finance healthcare) – Demand verifiable trust and auditability
- AI platform developers – Seek scalable policy-driven agent orchestration.
Business Model
Subscription-based SaaS platform licensing to cloud providers and enterprises, with tiered pricing based on agent density and compliance features.
Competitive Landscape
- Microsoft Azure Confidential Computing
- Google Confidential VMs
- IBM Cloud Hyper Protect Services
Implementation Challenges
- Complex integration with existing cloud infrastructure
- Performance overhead concerns in multi-agent orchestration
- Adoption resistance due to new trust and policy models
Validation Strategy
- Pilot deployments with cloud providers to demonstrate secure multi-agent hosting
- Partnerships with regulated enterprises for compliance validation
- Performance benchmarking against existing confidential computing solutions
Research Paper Overview
Trusted AI Agents in the Cloud
Summary
AI agents powered by large language models are increasingly deployed as cloud services that autonomously access sensitive data, invoke external tools, and interact with other agents. However, these agents run within a complex multi-party ecosystem, where untrusted components can lead to data leakage, tampering, or unintended behavior. Existing Confidential Virtual Machines (CVMs) provide only per binary protection and offer no guarantees for cross-principal trust, accelerator-level isolation, or supervised agent behavior. We present Omega, a system that enables trusted AI agents by enforcing end-to-end isolation, establishing verifiable trust across all contributing principals, and supervising every external interaction with accountable provenance. Omega builds on Confidential VMs and Confidential GPUs to create a Trusted Agent Platform that hosts many agents within a single CVM using nested isolation. It also provides efficient multi-agent orchestration with cross-principal trust establishment via differential attestation, and a policy specification and enforcement framework that governs data access, tool usage, and inter-agent communication for data protection and regulatory compliance. Implemented on AMD SEV-SNP and NVIDIA H100, Omega fully secures agent state across CVM-GPU, and achieves high performance while enabling high-density, policy-compliant multi-agent deployments at cloud scale.