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About NeuralTrust
NeuralTrust provides an AI agent security platform that discovers, inventories, and governs autonomous agents across cloud, hybrid, and on-prem environments.
Features include agent runtime security, an agent gateway for monitored interactions, agent posture management, and centralized policy enforcement for governance and compliance.
Real-time inventory plus behavioral, contextual, and multi-turn detection help CISOs, security teams, and developers detect adversarial activity, data exfiltration, and unauthorized tool use.
Split-plane architecture and on-prem/VPC deployment support data sovereignty and local policy enforcement while integrating with SIEM and enterprise workflows.
Scalable design supports high throughput with sub-100 ms enforcement latency and linear scaling across nodes, and accommodates third-party agents and API integrations.
Built-in AI red teaming, attack cataloging, and model scanning enable developer and risk teams to validate agent behavior, run adversarial tests, and maintain continuous monitoring.
Common use cases include securing chatbots, RAG pipelines, APIs, and third-party assistants while providing centralized visibility for compliance, incident response, and enterprise governance.
Key Features
Use Cases
Who is it for?
Features include agent runtime security, an agent gateway for monitored interactions, agent posture management, and centralized policy enforcement for governance and compliance.
Real-time inventory plus behavioral, contextual, and multi-turn detection help CISOs, security teams, and developers detect adversarial activity, data exfiltration, and unauthorized tool use.
Split-plane architecture and on-prem/VPC deployment support data sovereignty and local policy enforcement while integrating with SIEM and enterprise workflows.
Scalable design supports high throughput with sub-100 ms enforcement latency and linear scaling across nodes, and accommodates third-party agents and API integrations.
Built-in AI red teaming, attack cataloging, and model scanning enable developer and risk teams to validate agent behavior, run adversarial tests, and maintain continuous monitoring.
Common use cases include securing chatbots, RAG pipelines, APIs, and third-party assistants while providing centralized visibility for compliance, incident response, and enterprise governance.
Key Features
- Agent runtime security
- Agent gateway for monitored interactions
- Agent posture management and centralized policy enforcement
- Real-time inventory with behavioral, contextual, and multi-turn detection
- Split-plane architecture with on-prem/VPC deployment and SIEM/enterprise workflow integration
Use Cases
- Inventory and secure autonomous agents across cloud, hybrid, and on‑prem environments using NeuralTrust to automatically discover agents, apply posture management and policy enforcement, and maintain compliance visibility for audits
- Protect runtime agent activity and detect data exfiltration by routing agent traffic through NeuralTrust monitored gateways with real‑time threat detection, adversarial activity alerts, and SIEM integration for centralized incident response
- Run AI red‑teaming and governance workflows with NeuralTrust to simulate attacks, validate safeguards, enforce governance policies, and produce compliance‑ready reports while integrating with existing security and incident management tools
Who is it for?
- Security engineers
- Compliance officers
- Cloud architects
- Soc analysts
- Risk managers
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