ENTERPRISE AI AGENT RUNTIME SECURITY
Unlock autonomous intelligence within secure boundaries
AgentGuard tracks data, authorization, and action effect continuously, repairing or blocking risk before boundaries are crossed.
AGAgentGuardAgentGuard Interaction Boundary Runtime
Continuous protectionBusiness task
Summarize renewal risk and send a management brief to an approved external advisor
AgentGuardInteraction boundary runtime across the agent loop
- G1LLM Before / After
- G2Tool Before / After
- G3Memory Write
- G4Commit Boundary
Data chainIdentity · contract fields · derived summary
Action effectRead → create → send
DetectedSensitive fields are about to cross an external boundary
AgentGuardRedact fields · recheck payload · allow safe output
Analysis continues · compliant egress · fully audited
ENTERPRISE AGENT RISK
The agent era creates a new security frontier
Agents now act through identities, data, and business systems. Security must understand the complete action.
No unified runtime view
Dynamic high-privilege inheritance
Risk propagates across multi-step action
Traditional controls lack task context
AgentGuard turns runtime context into enforceable security boundaries
RESEARCH × PRODUCT
Mutual drive. Continuous evolution.
Frontier AI safety researchNUWA Lab
Research outcomes → Safety capabilitiesResearch iteration ← Deployment feedback
Agent security infrastructureAgentGuard
Open ecosystem
Open agent frameworks, evaluation infrastructure, and safety models.
- Agent development
- Safety evaluation
- Safety models
- Behavior-trace auditing
BUILD THE BOUNDARY
Deploy AI agents with confidence.
See how AgentGuard can evaluate, govern, and protect the agent systems you are bringing into production.
- Map one real agent workflow
- Mark identity, data, and action boundaries
- Simulate privilege, egress, or high-impact risk
- Review AgentGuard response and audit evidence
- Discuss integration and private deployment