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Comparison Guide

GLACIS vs EQTY Labs

An honest comparison of two approaches to AI attestation: software-defined cryptographic proof versus hardware-rooted trusted execution environments.

12 min read 2,200 words
Joe Braidwood
Joe Braidwood
CEO, GLACIS
12 min read

Executive Summary

GLACIS and EQTY Labs both address the critical challenge of proving AI systems behave as intended. However, they take fundamentally different architectural approaches. GLACIS uses software-defined cryptographic attestation that runs on any cloud infrastructure, while EQTY Labs relies on hardware Trusted Execution Environments (TEEs) from Intel and NVIDIA plus blockchain immutability via Hedera.

The right choice depends on your organization's constraints. If you need zero infrastructure changes, sub-5ms latency, and zero-egress architecture where data never leaves your VPC, GLACIS is the answer. If you have existing Intel TDX or NVIDIA confidential computing infrastructure and specifically require blockchain-based immutability, EQTY Labs serves that niche.

The practical difference: GLACIS deploys in days on your existing cloud. EQTY Labs requires hardware procurement, TEE-capable instances, and Hedera blockchain integration. For most regulated enterprises, deployment speed and infrastructure flexibility matter more than theoretical hardware isolation benefits.

The Infrastructure Reality

Hardware TEE requirements sound impressive in vendor presentations. In practice, they mean procurement cycles, cloud provider constraints, and infrastructure teams asking uncomfortable questions about why you need Intel TDX instances when your existing VMs work fine.

When a regulator asks for AI compliance evidence in 30 days, infrastructure procurement timelines become a compliance risk. GLACIS generates production-grade attestations on your existing infrastructure—no hardware procurement required.

~4ms
GLACIS Latency
0
Hardware Required (GLACIS)
Zero
Data Egress (GLACIS)
Any
Cloud (GLACIS)

In This Comparison

Company Overviews

About GLACIS

GLACIS provides continuous cryptographic attestation for AI systems in regulated industries. The platform generates tamper-evident proof that AI controls execute correctly--verifiable evidence that guardrails, access policies, and compliance requirements are enforced at runtime, not just documented in policies.

GLACIS’ core technology is software-defined attestation that deploys within customer infrastructure without requiring specialized hardware. The zero-egress architecture ensures sensitive data (patient records, financial transactions, proprietary models) never leaves the customer’s control.

Key differentiators include approximately 4ms attestation latency (enabling real-time production use), deployment on commodity cloud infrastructure, and evidence generation mapped to regulatory frameworks including EU AI Act, HIPAA, and SR 11-7.

About EQTY Labs

EQTY Labs offers AI governance and attestation rooted in hardware Trusted Execution Environments (TEEs). Their platform leverages Intel TDX (Trust Domain Extensions), NVIDIA confidential computing, and Hedera blockchain for immutable audit logging.

Notable achievements include RSA Innovation Sandbox 2025 finalist recognition, strategic partnerships with Intel and NVIDIA, and public sector deployments through Accenture Federal Services. The company has raised funding and built credibility in the enterprise security space.

EQTY Labs’ approach provides hardware root-of-trust--the attestation originates from silicon-level security features rather than software alone. This appeals to organizations prioritizing hardware-based security guarantees and blockchain-verified immutability.

Architectural Approaches

The fundamental difference between GLACIS and EQTY Labs is where the root of trust originates and how attestation is executed. This architectural distinction has cascading implications for deployment, performance, and operational requirements.

GLACIS: Software-Defined Attestation

Cryptographic proof generated through software running in your existing infrastructure.

  • Zero infrastructure changes -- runs on any cloud
  • Zero-egress design -- data never leaves your VPC
  • ~4ms latency -- production-grade performance
  • No blockchain dependency -- simpler architecture

EQTY Labs: Hardware TEE Attestation

Attestation rooted in hardware security features with blockchain immutability.

  • Hardware root-of-trust -- Intel TDX, NVIDIA TEEs
  • Blockchain immutability -- Hedera-based logging
  • Major partnerships -- Intel, NVIDIA ecosystem
  • Public sector presence -- Accenture deployments

Software-Defined vs Hardware-Rooted: The Tradeoffs

Hardware TEEs like Intel TDX provide isolation guarantees at the silicon level--even a compromised hypervisor or OS cannot access data inside the enclave. This is a genuine security benefit for specific threat models. However, it comes with constraints: you must deploy on infrastructure with these specific chips, and attestation performance depends on hardware capabilities.

Software-defined attestation trades hardware isolation for deployment flexibility and performance consistency. GLACIS achieves cryptographic assurance through verified execution paths and tamper-evident evidence chains, rather than hardware enclave isolation. The security model differs, but the outcome--provable, auditable AI behavior--is equivalent for most regulatory and compliance use cases.

The blockchain component in EQTY Labs’ architecture provides immutability through distributed consensus. GLACIS achieves tamper evidence through cryptographic chaining without requiring blockchain infrastructure, reducing operational complexity and eliminating dependencies on external networks.

Feature Comparison

Capability GLACIS EQTY Labs
Attestation Architecture Software-defined cryptographic Hardware TEE (Intel TDX, NVIDIA)
Attestation Latency ~4ms Not publicly specified
Infrastructure Requirements Any cloud / on-prem Intel TDX or NVIDIA TEE hardware
Blockchain Dependency None Hedera required
Data Residency Zero-egress (data stays in VPC) Data transmitted to TEE environment
Deployment Complexity Low (software deployment) Higher (hardware + blockchain setup)
Root of Trust Cryptographic verification Hardware silicon
Immutability Mechanism Cryptographic chaining Blockchain consensus
Vendor Ecosystem Cloud-agnostic Intel/NVIDIA partnerships
Industry Recognition Early-stage, regulated industry focus RSA Sandbox finalist

Deployment Requirements

GLACIS Deployment

GLACIS deploys as software within your existing infrastructure. The deployment process typically involves:

Time to production is typically measured in days, not months. There are no infrastructure procurement cycles, no specialized hardware to provision, and no blockchain nodes to configure.

EQTY Labs Deployment

EQTY Labs deployment requires infrastructure with Intel TDX or NVIDIA confidential computing support:

Deployment timelines depend on infrastructure availability and TEE migration complexity. Organizations without existing confidential computing infrastructure face additional procurement and provisioning steps.

Use Case Fit Analysis

Neither solution is universally superior--the right choice depends on your specific requirements, constraints, and priorities.

GLACIS is Likely the Better Fit When:

  • 1. Data sovereignty is non-negotiable. Healthcare organizations under HIPAA, financial institutions with data residency requirements, or any organization where patient/customer data cannot leave the VPC benefit from GLACIS’ zero-egress architecture.
  • 2. You need to deploy quickly on existing infrastructure. If you don’t have Intel TDX or NVIDIA TEE hardware and can’t wait for procurement, GLACIS runs on commodity cloud instances today.
  • 3. Latency matters for production workloads. Real-time AI applications (clinical decision support, fraud detection, trading systems) need consistent sub-10ms attestation overhead.
  • 4. You want to avoid blockchain complexity. If your organization doesn’t want to operate or depend on blockchain infrastructure, GLACIS achieves tamper evidence through cryptographic means without distributed ledgers.
  • 5. Multi-cloud or hybrid deployments. GLACIS’ cloud-agnostic architecture works consistently across AWS, Azure, GCP, and on-premises environments without vendor lock-in.

EQTY Labs May Be the Better Fit When:

  • 1. Hardware root-of-trust is a requirement. If your security model specifically requires attestation originating from silicon-level security features, TEE-based approaches provide that guarantee.
  • 2. Blockchain immutability is mandated. Some regulatory or contractual requirements may specifically call for blockchain-based audit trails.
  • 3. You already have Intel TDX or NVIDIA confidential computing infrastructure. If your organization has invested in confidential computing, EQTY Labs leverages that investment.
  • 4. Public sector with existing Intel/NVIDIA relationships. EQTY Labs’ partnerships and Accenture Federal Services deployments may provide procurement advantages in government contexts.
  • 5. Threat model includes compromised hypervisor. TEEs provide protection against certain attack vectors (malicious cloud provider, compromised virtualization layer) that software-based approaches don’t address.

Industry-Specific Considerations

Industry Fit Matrix

Industry Key Requirement Recommended
Healthcare HIPAA, data never leaving VPC GLACIS (zero-egress)
Financial Services Low latency, SR 11-7 compliance GLACIS (~4ms latency)
Government (Classified) Hardware security, existing TEE infra EQTY Labs (TEE-based)
Insurance Fast deployment, existing cloud GLACIS (any cloud)
Defense Contractors Intel partnerships, blockchain logs EQTY Labs (ecosystem)

Frequently Asked Questions

Can I use GLACIS if I already have Intel TDX infrastructure?

Yes. GLACIS runs on any infrastructure, including servers with Intel TDX. You can deploy GLACIS alongside existing confidential computing workloads. The difference is that GLACIS doesn’t require TEEs--it works equally well on standard instances, giving you deployment flexibility.

Does EQTY Labs work with AWS?

EQTY Labs’ TEE-based approach requires Intel TDX or NVIDIA confidential computing support. As of 2025, AWS offers Nitro Enclaves (a different technology) but limited native TDX support. Azure and GCP have more mature confidential computing offerings. Check EQTY Labs’ current cloud provider support for the latest compatibility.

What if my regulators specifically require blockchain?

If your regulatory requirements explicitly mandate blockchain-based immutability, EQTY Labs’ Hedera integration directly addresses that. However, most regulations (EU AI Act, HIPAA, SR 11-7) require tamper-evident audit trails, not specifically blockchain. GLACIS’ cryptographic chaining satisfies these requirements. Consult your compliance team about the specific language in your regulatory obligations.

Is hardware-based attestation more secure than software-based?

They address different threat models. Hardware TEEs protect against compromised hypervisors and some physical attacks--threats that software alone cannot prevent. However, TEEs have had vulnerabilities (Spectre, Meltdown variants). Software-defined attestation like GLACIS focuses on cryptographic provability of execution, which is sufficient for most compliance and audit requirements. The "more secure" answer depends on which threats you’re prioritizing.

How do the costs compare?

GLACIS runs on commodity infrastructure, so the primary cost is the software licensing. EQTY Labs deployments may involve additional costs for TEE-capable hardware (Intel TDX instances cost more than standard instances) and Hedera blockchain transaction fees. The total cost difference depends heavily on your existing infrastructure and scale. Contact both vendors for detailed pricing.

Making Your Decision

EQTY Labs built an interesting technical approach to AI attestation using hardware TEEs and blockchain. That approach makes sense if you already have Intel TDX infrastructure, specifically need Hedera-based immutability, and can accept the deployment complexity.

For most organizations, that's not the situation. You have existing cloud infrastructure. You need AI compliance evidence now, not after a hardware procurement cycle. And you need data to stay in your VPC, not flow through external blockchain networks.

GLACIS is built for that reality. Software-defined attestation on your existing infrastructure. Zero-egress architecture for regulated data. Production-grade latency for real-time AI systems. Deployment in days, not months.

The decision is simpler than it appears: Do you have specialized TEE infrastructure and blockchain requirements? If yes, evaluate EQTY Labs. If not—if you need AI compliance evidence on your existing cloud without new infrastructure—start with GLACIS.

See GLACIS in Action

Get a personalized demo showing how GLACIS generates cryptographic attestation for your AI systems--deployed on your infrastructure, with zero data egress.

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