Traditional security tools can’t detect AI-specific threats like prompt injection, malicious models, or agent misbehavior, creating dangerous blind spots across your AI infrastructure. As autonomous agents multiply and access sensitive systems, security teams lack visibility into model vulnerabilities, data exposure, and compliance risks.
Noma AISPM empowers enterprise security leaders to maintain a robust security posture with continuous visibility and risk protection across the entire AI landscape, keeping models, training data, infrastructure and agents secure and compliant to enable trusted AI innovation, at scale.
Comprehensive visibility and deep contextual insights across your entire AI and agent landscape. From models and agents to data pipelines and agent tools, Noma Security empowers you to discover, understand and secure every AI asset in your environment, instantly.
Reduce risk with enterprise-grade scanning, enforcement and management of your AI supply chain. Ensure malicious models, poisoned data, vulnerabilities in open source components and MCP servers, and infrastructure misconfigurations are detected and prevented from being deployed.
Manage agent risk by detecting over-permissive and potentially destructive agent capabilities or data poisoning. Enforce enterprise policies to prevent unauthorized actions and sensitive data exposure in real time.
Maintain security, governance and compliance at scale, with complete audit trails, and automated regulatory reporting and policy controls. Align AI security efforts leading frameworks such as OWASP Top 10, MITRE ATLAS, DASF and emerging regulations such as the EU AI Act.
Comprehensive visibility and deep contextual insights across your entire AI and agent landscape. From models and agents to data pipelines and agent tools, Noma empowers you to discover, understand, and secure every AI asset in your environment, instantly.
Reduce risk with enterprise grade scanning, enforcement and management of your AI supply chain ensuring malicious models, poisoned data, vulnerabilities in open source components and MCP Servers, and infrastructure misconfigurations are detected and prevented from being deployed.
Manage agent risk by detecting over permissive and potentially destructive agent capabilities or data poisoning and enforce enterprise policies to prevent unauthorized actions and sensitive data exposure, in real time.
Maintain security, governance and compliance at scale, with complete audit trails, and automated regulatory reporting and policy controls aligned to leading AI security frameworks such as OWASP Top 10, MITRE Atlas, DASF and emerging regulations such as the EU AI Act.
