AI Harness

AI Harness makes agents execute. TrustHouse makes Enterprise AI trustworthy.

An AI harness controls how an individual agent runs. TrustHouse provides the trust controls, context, and security around every agent, across your entire AI estate, regardless of where it runs.

AI Harness

Agent runtime and execution layer

An AI harness provides the operational framework for an individual agent to run safely and reliably.

Key Capabilities

  • Agent runtime and orchestration
  • Tool / MCP integration
  • Memory and session management
  • Permissions and access control
  • Guardrails and safety controls
  • Deployment, scaling and monitoring
  • Agent versioning and lifecycle

Typical Buyer

Developers / Platform teams (IT, Product, Engineering)

AI Applications & Agent Frameworks
Salesforce AgentforceMicrosoft CopilotAWS Bedrock AgentsLangGraph / CrewAIClaude / Gemini / Custom Agents
AI Harness (Execution Layer)
Agent runtimeTools / MCPMemorySessionsPermissionsGuardrails
TrustHouse.AI (Enterprise Trust Layer)
Context Engine
Business context & semantics
Ontology
Enterprise knowledge graph
Data Integrity
Trusted & authoritative data
AI Risk Engine
Safety, policy, compliance
Decision Provenance
End-to-end explainability
Trust Scorecard
Continuous assurance
Enterprise Agent Controls
Multi-cloud & Multi-model Support
Continuous TrustOps
Enterprise Infrastructure & Data
Enterprise Data
Cloud Providers
AWS / Azure / GCP
Data Platforms
Snowflake / Databricks
Knowledge Graph
Neo4j
Business Systems
ERP / CRM / MES / etc.

TrustHouse.AI

Enterprise AI trust, context, and control layer

TrustHouse.AI controls what data and context agents receive, what they can do, and whether their decisions are trustworthy, across all agents, models, data and clouds.

Key Capabilities (beyond the harness)

  • Enterprise semantic context and business ontology
  • Data integrity and lineage
  • AI risk engine and policy enforcement
  • Decision provenance and explainability
  • Cross-agent and cross-platform controls
  • Shadow AI discovery and control
  • Continuous trust monitoring and assurance

Typical Buyer

CIO / CISO / CAIO / CDO (+ platform teams)

HOW THEY COMPARE

Execution controls meet Enterprise Trust.

CapabilityAI HarnessTrustHouse.AI
Agent runtime & executionYesYes
Tool / MCP controlYesYes
Permissions & guardrailsYesYes
Business context & ontologyLimitedCore
Data integrityLimitedCore
Decision provenanceBasic (logs)End-to-end (data to outcome)
Cross-agent controlsLimitedYes
Compliance evidenceExecution/auditDecision-level lineage
Multi-cloud / multi-modelLimitedYes
Primary focusAgent executionEnterprise trust & controls

WHY IT MATTERS

Trust every agent without replacing what already works.

Reduce risk

Prevent unsafe, biased or non-compliant AI actions.

Unlock enterprise context

Give agents the right business understanding, not just data access.

Enable explainability

Prove why a decision was made, with full lineage and evidence.

Maximize existing investments

Work with your existing harnesses, models and platforms, no need to rip and replace.

THE STRATEGIC POSITIONING

Salesforce Trusted AI Harness

Trust inside the Salesforce Ecosystem

TrustHouse.AI

Trust across the entire Enterprise AI estate

Complementary, not competitive

Keep what works. Add TrustHouse.AI to control and protect all your agents, including Salesforce Agentforce, Microsoft Copilot, AWS Bedrock, Claude, Gemini, LangGraph, CrewAI and custom agents.

TrustHouse.AI

One enterprise. Many agents. A single layer of trust.