Startup profile · funding coverage
Noma Security funding, valuation and investors
Enterprise AI and agent security platform covering discovery, posture, development and runtime risk.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series B
$100M led by Evolution Equity Partners · July 31, 2025
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$132M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
growth · New York, NY
Overview
Founded by cybersecurity operators, Noma Security builds a platform for AI and agent inventory, security posture, risk detection and lifecycle protection. It announced $32M aggregate seed and Series A at its October 2024 public debut without separating the individual round amounts, then announced a $100M Series B on July 31, 2025 led by Evolution Equity Partners with Ballistic Ventures and Glilot Capital participating.
Growth claims such as 1,300% ARR increase are vendor reported without absolute revenue. Its product competes for CISO budgets with model security and AI agent guardrail providers, rather than only offering LLM quality evaluations.
Why Noma Security is interesting
Noma's disclosed $32M combined seed/Series A and $100M Series B indicate deep investor appetite for agent security across the entire lifecycle, broader than Dreadnode's adversarial-testing specialization.
Product & use cases
AI inventory/discovery, agent security posture assessment, policy governance and runtime monitoring or protection.
- Find unapproved AI systems and agents in enterprise environments
- Prioritize agent privilege and data-access risks
- Monitor AI applications across development and runtime
Funding history (newest first)
Series B
2025-07-31 $100M led by Evolution Equity PartnersSource: Read source · noma.security
Seed and Series A combined
2024-10-31 $32M; individual sizes undisclosedSource: Read source · globenewswire.com
Investors in our directory
Funds linked from Noma Security's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Lifecycle-wide AI security positioning, which may simplify governance but requires validating depth of each function.
The closest alternatives differ by whether they investigate existing telemetry, orchestrate incidents, evaluate AI agent behavior, or prevent adversarial exploitation. Selection should be based on representative task-level tests, deployment permissions, data control and total ownership cost.
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Dreadnode adjacent
Adversarial testing before deployment
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HiddenLayer direct
AI model and agent defense
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Lakera direct
Prompt injection defense and AI guardrails
Industries
Market / IPO context
Editorial / static context — not a live quote.
FAQs about Noma Security
Practical answers founders, operators, and investors typically search for.
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.