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What is TrustGate AI?
TrustGate AI functions as a dedicated security layer that monitors all six primary surfaces where agentic systems can be attacked or misused. By operating inside the user's own infrastructure it prevents any data from leaving while applying layered checks that adapt based on observed behavior. Its core engine learns normal patterns for each agent and automatically adjusts scrutiny levels when anomalies appear. This approach supports ongoing adherence to established security frameworks and produces verifiable records of every action taken. In addition to protection the system tracks token consumption across agents and applies immediate limits to prevent uncontrolled spending. All capabilities are delivered through a self-hosted deployment that requires minimal setup and maintains complete isolation from external networks.
Key features
Inspects and governs Prompt, RAG, Tools, Session, Agent-to-Agent, and Response/Egress surfaces
Self-hosted deployment with zero data egress and air-gap capability
Real-time compliance monitoring benchmarked to OWASP, MITRE, and NIST
Cost control with per-agent budgets, throttling, and token attribution
SHASHU security engine with adaptive scrutiny levels and forensic SLM inspection
Cryptographically verifiable audit trail for GDPR, HIPAA, SOC 2, and EU AI Act
Supports OpenAI, Anthropic, Azure OpenAI, Bedrock, LangChain, MCP, and self-hosted models
What you can use TrustGate AI for
Secure Multi-Surface AI Agent Operations
Inspects and governs prompt, RAG, tools, session, agent-to-agent, and response/egress surfaces in real time to block injections, poisoning, and exfiltration while agents operate.
Maintain Regulatory Compliance Posture
Delivers real-time compliance monitoring and cryptographically verifiable audit trails aligned with GDPR, HIPAA, SOC 2, and EU AI Act requirements.
Control AI Token Spending
Applies per-agent budgets, throttling, and token attribution to manage usage across tenants before costs accumulate.
How to use TrustGate AI
- 1Request access or book a demo on the TrustGate AI site
- 2Deploy the self-hosted instance using the provided three commands
- 3Connect supported models and agent frameworks
- 4Enable SHASHU monitoring across the six agent surfaces
- 5Set per-agent budgets and compliance policies
- 6Review live operations, threats, and cryptographic audit logs
TrustGate AI pricing
Pricing model: Paid. Plan details are indicative — check the site for current prices.
Enterprise
Custom
- Self-hosted
- Zero data egress
- Live operations
- Compliance
- Cost control
Editor's verdict
Pros
- +Comprehensive coverage of all six agent surfaces in real time
- +Zero-egress self-hosted architecture keeps all data inside perimeter
- +Unified control for security, compliance, and spend enforcement
Cons
- –Requires self-hosting and infrastructure integration
- –Focused on enterprise agent deployments
Our take: TrustGate AI is a solid productivity choice. It's valued for comprehensive coverage of all six agent surfaces in real time and zero-egress self-hosted architecture keeps all data inside perimeter. The main trade-off is requires self-hosting and infrastructure integration. Best when you need reliable, professional output.
Frequently asked questions
Self-hosted deployment with zero data egress and air-gap capability that runs inside the user's own perimeter.
Summary
TrustGate AI is a solid productivity choice. It's valued for comprehensive coverage of all six agent surfaces in real time and zero-egress self-hosted architecture keeps all data inside perimeter. The main trade-off is requires self-hosting and infrastructure integration. Best when you need reliable, professional output.
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