NeuralTrust vs. Netskope: AI Runtime Security Comparison 2026

NeuralTrust's TrustGuard and Netskope offer distinct approaches to AI runtime security, with TrustGuard focusing on enforcing security at the agent's tool call level, ensuring protection for both private and public AI agents by blocking or transforming malicious actions in real-time. TrustGuard is designed to operate within private environments or the cloud, offering comprehensive security across different AI agents without needing custom integrations for each. In contrast, Netskope's cloud-delivered SASE platform emphasizes access governance and data protection, primarily targeting public AI applications and servers through data loss prevention (DLP) and least-privilege access controls. Netskope's approach centers on governing access to public MCP servers, applying DLP, and maintaining audit trails for retrospective analysis, without enforcing individual tool call security. Both solutions are enterprise-ready, but the choice between them depends on whether an organization requires a cloud-based platform for access control or a more comprehensive runtime security solution like TrustGuard that operates across all AI agents and evaluates each tool call.

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