Noma Security vs Tracecat
Side-by-side comparison of AI visibility scores, market position, and capabilities
Fastest-growing AI security company; raised $100M Series B (Jul 2025); $132M total in under 2 years; 1,300% ARR growth; secures AI agents, models, and data pipelines for enterprise use.
About
Noma Security was founded to address the emerging and largely unaddressed security surface created by enterprise AI adoption. As organizations deploy AI systems, ML pipelines, and autonomous agents into production, they introduce new attack vectors — data poisoning, model theft, prompt injection, and unmonitored agent behavior — that conventional security tools are not designed to detect or prevent. Noma was built from the ground up to secure AI development pipelines and deployed AI agents in enterprise environments, with a platform that spans the full AI lifecycle from development through production.\n\nNoma's platform provides visibility and protection across AI supply chains, covering model provenance, training data integrity, API security, and real-time monitoring of AI agent behavior. It integrates with enterprise development environments and cloud platforms to surface risks that would otherwise go undetected by security operations teams unfamiliar with AI-specific threat models. Noma serves enterprises across regulated industries including financial services, healthcare, and technology, where the consequences of AI system compromise carry significant compliance and reputational risk.\n\nNoma raised a $100 million Series B in July 2025, bringing total funding to $132 million raised in under two years — an unusually fast fundraising trajectory that reflects both category urgency and strong early commercial traction. The company has grown ARR by 1,300% and is recognized as the fastest-growing company in the AI security category. As AI agents proliferate across enterprise environments, Noma's first-mover position in purpose-built AI security positions it to become essential infrastructure for any organization deploying AI at scale.
SF YC W24 open-source SOAR security automation deployed by 200+ orgs (Fortune 500 + federal); $500K-$2M seed on Temporal's durable execution with 100+ integrations competing with Splunk SOAR and Tines for security incident response.
About
Tracecat is a San Francisco-based open-source security automation platform — backed by Y Combinator (W24) with $500,000-$2 million in seed funding from Y Combinator, Pioneer.app, Pioneer Fund, and SurgePoint Capital — providing security operations, IT, and infrastructure teams with a modern, cost-effective alternative to commercial SOAR (Security Orchestration, Automation, and Response) tools for automating security alerts, incident response, and IT workflows. Deployed by 200+ organizations from Fortune 500 companies to federal agencies, Tracecat is built on Temporal's durable execution platform (used by Datadog, Netflix, and Stripe) and offers 100+ integrations, AI-assisted runbooks, case management, and lookup tables. Founded in 2024 by Chris Lo and Daryl Lim.
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