Agentic Index
Lasso Security vs Noma Security (2026)
Lasso Security last verified ·Noma Security last verified
Lasso Security and Noma Security both discover the customer's agents, red team them and control them at runtime. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Lasso connects to CI/CD and cloud platforms to inventory agents on Vertex AI, Microsoft Copilot, AWS Bedrock and Salesforce Agentforce, attacks them from more than 3,000 payloads, and enforces intent based policies at its gateway with audit trails, with a free assessment on request. Noma sends every discovered agent, MCP server and skill to an approval registry and decides at runtime which agents can use which tools, based on context and the person the agent acts for. Neither publishes a price or says where the platform runs. Lasso deploys inline through a gateway, API or SDK, and Noma's own agents chain several techniques into one multi turn attack. Choose Lasso for intent based enforcement at a gateway, and Noma for approval and tool level access control.
On the Agentic Index AI SOC ranking, neither Lasso Security nor Noma Security clears the bar, which asks for all five investigation loop capabilities documented in full. Lasso Security does not document workflow orchestration in full, nor human oversight and guardrails; Noma Security does not document human oversight and guardrails in full. 25 of the 86 vendors in the lane clear it. See the AI SOC ranking
On the Agentic Index agent infrastructure ranking, neither Lasso Security nor Noma Security clears the bar, which asks for all five production contract capabilities documented in full. Each documents two of the five in full. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Lasso Security and Noma Security are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,140 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Lasso Security if
- Runtime policy should enforce intent at a gateway, with audit trails.
- Enforcement should sit inline, through a gateway, API or SDK in front of your AI traffic.
- A free assessment helps you scope first.
Choose Noma Security if
- Every agent, MCP server and skill should be approved before use.
- Access to each tool should follow runtime context and the requesting person.
- Red teaming should chain techniques into multi turn attacks with rising pressure.
| Feature | L Lasso Security |
N Noma Security |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Lasso SecurityIntegrations & Tool Calling The platform deploys inline through a gateway, API or SDK in front of the customer's AI traffic. It discovers agents across Vertex AI, Microsoft Copilot, AWS Bedrock and Salesforce Agentforce, connects to CI/CD and cloud platforms, and blocks threats at runtime. Sourcelasso.security/platform/ai-agents-securityread 2026-09-28 |
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Noma SecurityIntegrations & Tool Calling Discovery and governance cover homegrown, SaaS and endpoint agents and MCP servers, and policy is enforced through agent hooks, AI and MCP gateways, SDKs, direct APIs and the EDR or MDM a company already runs, at the moment a connection or action is attempted. Requests are masked or blocked at runtime. On employee laptops Noma finds Claude Code, Claude Cowork, Cursor, Codex, Windsurf, Kiro, Antigravity and OpenClaw, with their MCP servers, skills, connectors and linked personal and enterprise accounts. Noma also connects to Claude's Compliance API and is offered inside the AWS Security Hub Extended console. SourceNoma Security, noma.security/platform/agentic-access-control and the endpoint agent security post on noma.security/blog; noma.security/products/agent-access-controlread 2026-10-06 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Lasso SecurityWorkflow Orchestration A fixed five stage product lifecycle runs from discovery to protection, with red team findings feeding guardrail updates. Lasso does not orchestrate the customer's agents, and customers build no flows of their own in it. Lasso no longer presents offensive agents as part of the product. Sourcelasso.security/platform/ai-securityread 2026-09-28 |
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Noma SecurityWorkflow Orchestration The red teaming is done by Noma's own agents, which probe the customer's AI apps and agents and compound several techniques into one multi turn attack sequence, with escalating pressure at each step. The wider platform runs as a fixed pipeline of posture management, access control and runtime protection, with red team findings fed into the AI-DR runtime policies. The Agentic Risk Map brings discovery, posture and runtime together to show each agent's blast radius before deployment. SourceNoma Security, noma.security/products/ai-red-teaming and /solutions/ai-agent-securityread 2026-10-06 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Lasso SecurityTriggers & Channel Coverage Inline detection runs on every request and agent action that passes the gateway. Red teaming runs automatically on every application update through CI/CD. Neither needs anyone to start it. Sourcelasso.security/platform/ai-red-teamingread 2026-09-28 |
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Noma SecurityTriggers & Channel Coverage Runtime detection fires on every prompt, response, tool call, MCP interaction and agent to agent message, and access policies are checked the moment a connection or action is attempted, with no one starting the work. Newly discovered agents, MCP servers and skills enter the registry on their own, and red teaming runs continuously. SourceNoma Security, noma.security/platform/runtime-protection and /products/ai-red-teaming; noma.security/products/ai-drread 2026-10-06 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Lasso SecurityKnowledge Grounding & RAG Discovery inventories every agent and application and maps their models, system prompts, tools and guardrails. The result is a named map of the customer's AI estate. Lasso names no retrieval structure for agents to draw on. Sourcelasso.security/platform/ai-securityread 2026-09-28 |
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Noma SecurityKnowledge Grounding & RAG Discovery fills an MCP and agent registry automatically and gives each agent, MCP server and skill a status, with a profile of its toolsets, functions, data access permissions and MCP server connections, which together map the customer's AI estate. Noma says discovery finds 10 to 100 times more agents than teams expect. Noma names no knowledge store of its own for the customer's agents to draw on. SourceNoma Security, noma.security/platform/agentic-access-control, /solutions/ai-agent-security and noma.securityread 2026-10-06 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Lasso SecurityMemory & State Persistence The customer's agents get no memory from Lasso. Intent Security's behavioral baselines are the product's own detection state, and Lasso does not say how long they are kept. The audit trails record what agents did, and the agents do not draw on them as memory. Sourcelasso.security/platform/intent-securityread 2026-09-28 |
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Noma SecurityMemory & State Persistence The customer's agents get no memory from Noma. Its registry and audit trail record the AI estate and its traffic for the security team, not for an agent to read back. SourceNoma Security, noma.security/platform/runtime-protection; noma.security/products/ai-drread 2026-10-06 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Lasso SecurityHuman Oversight & Guardrails Policies are enforced inline at the proxy, API or gateway. Intent Security acts on a threshold by "either blocking the request or sending an alert". Lasso names no step where a person approves an agent's action before it commits. Sourcelasso.security/platform/intent-securityread 2026-09-28 |
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Noma SecurityHuman Oversight & Guardrails The security team sets policies that decide what happens when an agent attempts an action, and one of the outcomes is routing the action to a person for approval before it goes through. Other outcomes block the action, alert, mask sensitive data inline, steer the agent toward a different path or trigger a killswitch, and each detector can be tuned on its own. Each agent, MCP server and skill in the registry is approved, needs review or blocked, and newly found assets land there for the security team to decide what belongs. Read access can be open to many while create, update and delete stay with a smaller group. SourceNoma Security, noma.security/products/ai-dr and noma.security/products/agent-access-controlread 2026-11-03 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Lasso SecuritySecurity, Identity & Governance ISO, AICPA, GDPR and PCI badges sit in Lasso's site footer, and its information security policy sits in an embedded document. Lasso names no SSO, role model or audit surface for the product itself, and its product docs sit behind a login. The access controls Lasso sells govern its customers' AI, not who can use Lasso. Sourcelasso.security/information-security-policyread 2026-09-28 |
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Noma SecuritySecurity, Identity & Governance Attestations cover SOC 2 Type II audited by EY, ISO 27001, ISO/IEC 42001 and HIPAA, along with ISO 9001:2015. Controls for Noma's own operations include multi factor authentication, access reviews, audit logging, disk encryption, network segregation and endpoint detection and response. Noma names no SSO, role model or audit log for the customer's own users of the Noma console. SourceNoma Security, trust.noma.security and noma.securityread 2026-10-06 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Lasso SecurityObservability & Auditability Intent Security monitors "the entire interaction execution path" and checks each tool invocation against the request, a check Lasso calls Tool and Response Alignment. The agent product keeps "audit trails for every agent activity and decision in real-time". The record covers the customer's agents down to each step and tool call. Sourcelasso.security/platform/intent-securityread 2026-09-28 |
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Noma SecurityObservability & Auditability Runtime protection monitors prompts, responses, agent tool calls, MCP server interactions and agent to agent communications, and every interaction, policy decision and response action is logged and searchable. Automated reporting gives auditors and regulators full traceability. The Agentic Risk Map shows each agent's connections, tools, identities and knowledge sources, so the security team can see what an agent could reach. SourceNoma Security, noma.security/platform/runtime-protection and /solutions/ai-agent-security; noma.security/products/ai-drread 2026-10-06 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Lasso SecurityDeployment & Data Residency Integration runs through a gateway, API or SDK. No hosting region is published, and Lasso does not say whether customers can run it in their own environment. Its product docs sit behind a login. Sourcelasso.security/platform/ai-agents-securityread 2026-09-28 |
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Noma SecurityDeployment & Data Residency Where the platform itself is hosted is not published, and Noma names no region choice, data residency option or way to run it in the customer's own environment. AWS, Azure and Databricks are platforms whose agents Noma covers, not places it runs. Noma's subprocessors include Frontegg in the US for authentication, Datadog for logging and Snowflake for analytics. SourceNoma Security, noma.security and trust.noma.securityread 2026-10-06 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Lasso SecurityPrebuilt Agents, Templates & Packs A prebuilt library of more than 3,000 attack payloads, with more than 500 variants added weekly, ships with prebuilt policies. The catalog has no name of its own, and Lasso ships no prebuilt agents. Sourcelasso.security/platform/ai-red-teamingread 2026-09-28 |
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Noma SecurityPrebuilt Agents, Templates & Packs Red teaming findings map to prebuilt compliance presets for the OWASP LLM Top 10, MITRE ATLAS, the NIST AI RMF, the EU AI Act and ISO 42001, and runtime protection ships prebuilt masking for PII, credentials, API keys and sensitive business data. Beyond these presets, no named catalog or prebuilt agents are offered. Solution pages package the platform for AI asset discovery, agentic identity, MCP security, AI supply chain security and coding assistant security. SourceNoma Security, noma.security/products/ai-red-teaming, /platform/runtime-protection and noma.securityread 2026-10-06 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Lasso SecurityModel Flexibility & Routing Lasso secures traffic to third party and in house models. It offers no model choice or routing of its own. Sourcelasso.security/platform/ai-securityread 2026-09-28 |
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Noma SecurityModel Flexibility & Routing Noma secures traffic to the customer's models and offers no model choice or routing of its own. Its detection of prompt injection and policy violations runs on proprietary AI models trained for security analysis. SourceNoma Security, noma.security/platform/runtime-protection; noma.security/products/ai-drread 2026-10-06 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Lasso SecurityAPIs, SDKs & MCP Extensibility Customers deploy Lasso "with a single line of code via Gateway, API, or SDK". The API and SDK reference, at app.lasso.security/docs-auth, sits behind a login. Sourcelasso.security/platform/ai-agents-securityread 2026-09-28 |
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Noma SecurityAPIs, SDKs & MCP Extensibility Noma publishes no API reference, SDK or MCP server for building on its platform, and no docs site. It says policies can be enforced through SDKs and direct APIs as well as hooks and gateways, but publishes a reference for neither, and its MCP features govern the customer's own MCP servers. SourceNoma Security, noma.security and the endpoint agent security post on noma.security/blogread 2026-10-06 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Lasso SecurityTesting, Debugging & Optimization Red teaming tests the customer's models, agents and applications with adversarial simulations over several turns, drawn from a library of more than 3,000 payloads. It runs automatically on every application update through CI/CD. Each result maps to a fix in a guardrail, system prompt or tool permission. The tests run against the customer's deployed agents directly. Sourcelasso.security/platform/ai-red-teamingread 2026-09-28 |
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Noma SecurityTesting, Debugging & Optimization AI Red Teaming continuously tests the customer's AI agents and applications, whether on endpoints, in SaaS or built in house, with adaptive multi turn attack sequences covering prompt injection, jailbreaks, data leakage, denial of wallet and harmful content generation. Findings map to compliance presets with audit ready reporting and feed into the AI-DR runtime policies, so each weakness found hardens production protection. SourceNoma Security, noma.security/products/ai-red-teamingread 2026-10-06 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Lasso SecurityBrowser & Computer Use Everything happens at the gateway, API and policy layer, and there is no browser or computer use. Sourcelasso.security/platform/ai-securityread 2026-09-28 |
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Noma SecurityBrowser & Computer Use Noma names no browser or computer control by its own agents. The platform governs other agents, including coding and productivity agents on employee laptops found through the EDR or MDM a company already runs. SourceNoma Security, noma.security and the endpoint agent security post on noma.security/blogread 2026-10-06 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | L Lasso Security |
N Noma Security |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales; no prices published. Demo and a free assessment on request. | Contact sales; no prices published. Demo on request. |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
Inference, not stated by the vendor: scope of models, agents and applications secured. | Inference, not stated by the vendor: agents secured, MCP servers covered, integrations and deployment scope. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Lasso Security
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· Integrations
Claude Enterprise activity can now flow into Lasso through Anthropic's Claude Compliance API, an integration now generally available.
Source -
· Security / enterprise
Lasso introduced LEAP, AI security guardrails that run on CPUs while aiming for the accuracy of GPU based models, built to evaluate complex agentic workflows.
Source
Noma Security
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· Integrations
Noma connected its AI-DR runtime product to NVIDIA OpenShell through the supervisor middleware, so each request an agent makes inside an OpenShell sandbox, including prompts, tool calls and MCP traffic, passes to Noma for inspection after OpenShell's own policy check.
Source -
· Security / enterprise
Noma now finds and governs the AI agents employees run on their laptops, using the EDR or MDM a company already has to discover coding and productivity agents, MCP servers, skills and connected accounts.
Source -
· Integrations
Noma Security is available through the AWS Security Hub Extended console as its AI security partner, so enterprises can turn on AI security monitoring from within AWS.
Source
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