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Noma Security

commercial

Noma Security discovers an enterprise's AI applications and agents, manages their posture and protects them at runtime with compliance reporting.

Summary

Noma Security is a commercial ai-security platform that discovers an enterprise's AI applications and agents, manages their posture, and protects them at runtime while generating compliance reports. It does not specify deployment method, but it is for organizations concerned with agentic ai-security and ai-supply-chain risk. Its documentation places it alongside general ai-security monitoring solutions, and it was launched in 2023.

Noma Security discovers an enterprise's AI applications and agents, manages their posture and protects them at runtime with compliance reporting.

How Noma Security helps

Which AI applications and agents are actually running across the organization?

inventories AI usage across the environment and surfaces shadow deployments nobody registered with security

Which of our deployed agents have a posture problem before something exploits it?

evaluates configuration and exposure of discovered AI applications against a set of posture checks and flags the ones out of line

What happens when an AI agent misbehaves or gets attacked while it's running?

watches agent behavior at runtime and intervenes when it detects an attack or anomalous action

Where did the components in our AI supply chain come from, and can we trust them?

traces the models, packages and data sources feeding each AI application to expose supply-chain risk

Can we show an auditor what our AI risk posture looks like right now?

turns the discovered inventory and posture findings into compliance reports without extra manual collection

Which team owns a given AI application when an incident hits it?

ties each discovered agent back to the application it belongs to so responders know where to act

all 6 features, with the evidence for each →

Languages

Not documented

Features

6 capabilities

Built from Noma Security's releases, docs, README and our own runs. “Seen” marks the month we first spotted a release the vendor didn't date. Group names and tags are our labels.

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  • Noma Security covers 1 of the 3 runtime security capabilities we track.

What Noma Security offers you

  • Agent-based deployment2
  • Role-based access control1
All capabilities 6 capabilities
Access Control policies shipped Enforces identity-aware, tool- and action-level access control policies that attribute agents to IdP-linked users and groups, supporting granular rules such as permitting read operations broadly while restricting create, update, or delete to specific groups. 2 releases · first seen Sep 2026

Also counts toward: Role-based access control

release

  • Adds identity-aware Access Control policies that attribute each endpoint agent to the human behind it, linking to IdP users and groups for per-user, per-group, or org-wide enforcement. announced · Sep 2026 · source · release history
  • Adds tool- and action-level Access Control granularity, allowing read access to be broadly permitted while create, update, or delete operations are restricted to specific groups. announced · Sep 2026 · source · release history
Agent inventory and registry shipped Discovers agents, MCP servers, skills, connectors, and active processes across the environment — including employee endpoints via EDR or MDM — and maintains a governed registry that assigns each a status of approved, needs review, or blocked. 2 releases · first seen Sep 2026

release

  • Extends Noma's agent inventory to employee endpoints, using existing EDR or MDM deployments to discover agents, MCP servers, skills, connectors, and active processes on managed devices.⁠︀︄︇︀︅︉︀︅︀︀︃︀︀︅︅︀︅︊︀︄︆︀︃︄⁠ announced · Sep 2026 · source · release history
  • Adds a governed registry that automatically assigns every discovered agent, MCP server, and skill a status of approved, needs review, or blocked. announced · Sep 2026 · source · release history
AI detection and response (AI-DR) shipped Provides runtime threat detection for agents, covering prompt injection (encoded, obfuscated, and indirect), sensitive data leakage, malicious intent, tool poisoning, scope violations, and behavioral drift, with contextual policies that correlate prompts, tool calls, responses, and reasoning across full sessions to surface multi-step attacks. 2 releases · first seen Sep 2026

Shared capability: Runtime threat detection

Also counts toward: Agent-based deployment

release

  • Adds Contextual Policies within AI-DR that correlate prompts, tool calls, tool responses, and reasoning across full sessions to surface multi-step attacks such as indirect prompt injection followed by secret exfiltration. announced · Sep 2026 · source · release history
  • Adds AI-DR runtime threat protection for endpoint agents, detecting prompt injection (including encoded, obfuscated, and indirect injection via tool responses), sensitive data leakage (PII, PCI, secrets), malicious intent, tool poisoning, scope violations, and behavioral drift. announced · Sep 2026 · source · release history
Adaptive Context Retrieval shipped Learns an application's traffic patterns to distinguish reusable context such as system prompts and RAG context from user-controlled input, improving detector signal and reducing false positives. 1 release · first seen Sep 2026

release

  • Adds Adaptive Context Retrieval, which learns an application's traffic patterns to distinguish reusable context (system prompts, session history, RAG context) from user-controlled input, improving detector signal and reducing false positives. announced · Sep 2026 · source · release history
Coding and productivity agent coverage shipped Supports monitoring and enforcement for coding and productivity agents including Claude Code, Claude Cowork, Cursor, Codex, Windsurf, Kiro, Antigravity, and OpenClaw. 1 release · first seen Sep 2026

release

  • Adds coverage for coding and productivity agents including Claude Code, Claude Cowork, Cursor, Codex, Windsurf, Kiro, Antigravity, and OpenClaw. announced · Sep 2026 · source · release history
Open Enforcement shipped Enforces Access Control, Agent Boundaries, and AI-DR policies across agent hooks, AI and MCP gateways, SDKs, direct APIs, and existing EDR/MDM infrastructure, including on employee endpoints. 1 release · first seen Sep 2026

Also counts toward: Agent-based deployment

release

  • Extends Open Enforcement to the endpoint, enabling the same Access Control, Agent Boundaries, and AI-DR policies to be enforced through agent hooks, AI and MCP gateways, SDKs, direct APIs, and existing EDR/MDM infrastructure. announced · Sep 2026 · source · release history

Lines in monospace are the tool's own words: help text parsed from its source, or an endpoint from its API document. Under release, a line is our summary of a dated release. Under docs, it is quoted from the tool's own documentation or website. Each links back to the source it came from.

Score card

  1. Shipping velocity releases a month, last 12 months
  2. Documentation quality release-notes rubric, 0–100
  3. Breaking-change discipline how rarely a release breaks users, and notice given
  4. Maintenance risk quiet time against its own cadence, maintainers
  5. Innovation & surface new capabilities, API and MCP surface

Five scores for Noma Security, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.

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Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.

How this is scored
  • Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
  • Documentation quality — the release-notes rubric published on the analytics page, unchanged.
  • Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
  • Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
  • Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
  • Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
  • Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
  • Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.

Release-note detail over time

See how much detail Noma Security puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.

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Releases

1 entry

  1. September 20261

    1 entry

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