Secure your AI, everywhere
Noma Security is a unified AI security and governance platform designed to protect enterprise AI systems and autonomous agents. The platform provides end-to-end coverage across the AI lifecycle, from development to deployment, enabling organisations to securely adopt and scale AI technologies.
As AI adoption accelerates, organisations face new risks such as prompt injection, model manipulation and data leakage. Noma addresses these challenges by delivering continuous discovery of AI assets, contextual risk insights and real-time threat protection across models, data pipelines and agent workflows.
By combining AI security posture management, runtime protection and governance in a single platform, Noma enables security teams to gain full visibility and control over their AI environments while supporting innovation at scale.
End-to-end protection for AI and autonomous agents
AI introduces entirely new attack surfaces that traditional security tools are not designed to address. From prompt injection and model poisoning to autonomous agent misuse, organisations need a new approach to security that is built specifically for AI.
Noma Security delivers a unified, AI-native platform that provides full visibility into AI systems, identifies risks across the AI lifecycle and enforces real-time protections. By analysing how AI models, agents and data interact, Noma enables organisations to prioritise real risks, reduce blind spots and ensure secure AI adoption.
With integrated governance and compliance capabilities, organisations can confidently scale AI initiatives while maintaining control, security and regulatory alignment.
Comprehensive AI security across the entire lifecycle
Noma provides continuous visibility, security and governance across AI systems, enabling organisations to discover risks, secure deployments and protect AI in real time.
AI asset discovery and visibility
- Automatically discover AI models, agents, data sources and dependencies to gain a complete view of your AI environment.
AI security posture management (AI-SPM)
- Identify vulnerabilities, misconfigurations and supply chain risks across AI infrastructure and applications.
AI agent security
- Secure autonomous AI agents with visibility into behaviour, permissions and interactions, ensuring safe and controlled operation at scale.
Runtime threat detection and protection
- Monitor AI systems in real time to detect and block threats such as prompt injection, jailbreaks and data leakage.
AI red teaming and testing
- Simulate real-world attacks to identify vulnerabilities in AI models and applications before they can be exploited.
Governance and compliance
- Enforce policies, maintain audit trails and ensure compliance with emerging AI regulations and standards.
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