Agentic Index
Noma Security vs Straiker (2026)
Both vendors last verified
Noma Security and Straiker both discover, test and protect the customer's agents. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Noma's discovery feeds an approval registry for agents, MCP servers and skills, and its runtime access control decides which agents can use which tools based on context and the person behind the request, and it red teams continuously and sells through a demo. Straiker maps each agent to its tools, data and permissions, red teams with attack agents on every model or prompt change, and traces and blocks at runtime, as SaaS or on premises, and its AWS Marketplace listing prices platform access at $100,000 a year. Straiker also cuts off an agent's tool access or suspends its session, and alerts through Slack, email or webhook. Choose Noma for approval and access control over agent tools, and Straiker for on premises deployment and testing on every change.
On the Agentic Index AI SOC ranking, neither Noma Security nor Straiker clears the bar, which asks for all five investigation loop capabilities documented in full. Neither documents 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 Noma Security nor Straiker clears the bar, which asks for all five production contract capabilities documented in full. Noma Security documents two of the five in full; Straiker does not document security and identity governance in full, nor model flexibility and routing. 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. Noma Security and Straiker 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 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Noma Security if
- Every agent and MCP server should go through an approval registry.
- Tool access should depend on context and the person the agent acts for.
- You want to start with a demo rather than a listed contract.
Choose Straiker if
- The platform must run on premises as well as in the cloud.
- Testing should trigger on every model or prompt change.
- Runtime defense should cut off tool access and alert through Slack or a webhook.
| Feature | N Noma Security |
S Straiker |
|---|---|---|
| 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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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/blogread 2026-10-06 |
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StraikerIntegrations & Tool Calling Discovery reaches agents across endpoints, APIs, gateways, SaaS and inference hooks, for agents built on LangGraph, CrewAI, Claude, GitHub Copilot and others. Straiker also acts in outside systems. Defend AI cuts off tool access or suspends sessions and alerts through Slack, email or webhook, and Discover AI can block or revoke risky MCP and tool access directly. Builder platforms covered include AutoGen, Vercel, AWS Bedrock AgentCore, Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI, Databricks and Snowflake, and the agents people use include OpenAI Codex, ChatGPT Enterprise, Cursor, Microsoft Copilot and Perplexity. SourceStraiker, straiker.ai/platform and /products/defend-airead 2026-10-05 |
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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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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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StraikerWorkflow Orchestration Ascend AI runs a team of Straiker's own attack agents, which simulate real world threats across the customer's agent stack, from prompt injection and MCP tool misuse to agentic exploits, data leakage and exfiltration. Each Ascend finding becomes a policy recommendation for Defend AI, so testing feeds runtime protection. The kill switch can contain one agent without stopping the others or respond across many agents at once. SourceStraiker, straiker.ai/products/ascend-ai, /platform and /solution/agentic-kill-switchread 2026-10-05 |
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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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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-teamingread 2026-10-06 |
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StraikerTriggers & Channel Coverage Ascend AI assessments start automatically on every model deployment, prompt update or configuration change through native CI/CD integration, and also run on schedules or on demand. Defend AI acts on every interaction at runtime, and Discover AI assesses each agent, tool connection and MCP server continuously. SourceStraiker, straiker.ai/products/ascend-ai, /products/discover-ai and /platformread 2026-10-05 |
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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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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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StraikerKnowledge Grounding & RAG Discover AI maps agents to the models, tools, MCPs, skills, data, permissions and systems behind them, and STAR Labs research feeds evaluations. That is a map of the customer's estate plus Straiker's own research, and there is no knowledge store its agents retrieve from. STAR Labs is Straiker's AI and security research team studying how real agents behave, and Defend AI checks MCP connections against Straiker's MCP Threat Database. SourceStraiker, straiker.ai/platform and /products/defend-airead 2026-10-05 |
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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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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-protectionread 2026-10-06 |
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StraikerMemory & State Persistence There is no memory for the customer's agents. The discovery map and the traces record the estate and its activity, not anything an agent remembers. Discover AI keeps every agent, tool connection and MCP server on record and assesses them continuously, and the kill switch keeps the activity and audit trail after an agent is stopped. SourceStraiker, straiker.ai/products/discover-ai and /solution/agentic-kill-switch; straiker.ai/platformread 2026-10-05 |
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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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Noma SecurityHuman Oversight & Guardrails 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. Policies are enforced when a connection or action is attempted, read access can be open to many while create, update and delete stay with a smaller group, and runtime responses run from alert and audit to masking and blocking, set by application, agent profile, risk level or policy type. Noma names no step where a person approves a single agent action before it goes through. SourceNoma Security, noma.security/platform/agentic-access-control, /platform/runtime-protection and the endpoint agent security post on noma.security/blogread 2026-10-06 |
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StraikerHuman Oversight & Guardrails Defend AI runs in Detect or Protect mode with policies the customer writes, blocks prompt injection and tool manipulation, cuts off tool access and suspends sessions. The customer sets these limits, and no step has a person approve or get asked before an agent action goes through. With the kill switch, the security team can stop an agent mid task while it investigates, isolate it or take it offline, and Straiker says it stops agents in seconds. SourceStraiker, straiker.ai/platform and /solution/agentic-kill-switchread 2026-10-05 |
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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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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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StraikerSecurity, Identity & Governance Straiker displays ISO/IEC 27001 and SOC 2 badges and is a member of the Cloud Security Alliance. It names no SSO, roles or audit log for its own console, and its security features protect the customer's agents, not access to Straiker itself. SourceStraiker, straiker.ai and /platformread 2026-10-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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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-securityread 2026-10-06 |
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StraikerObservability & Auditability Defend AI traces every interaction across the user, the model, the tool chain and calls between agents, and keeps full agentic traces as evidence ready for audit, recording each tool call the customer's agents make. Alerts go out instantly over Slack, email or webhook, and the kill switch preserves the activity and audit trail when an agent is stopped. SourceStraiker, straiker.ai/products/defend-ai and /solution/agentic-kill-switchread 2026-10-05 |
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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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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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StraikerDeployment & Data Residency Straiker runs as SaaS or on premises for regulated and sovereign environments, so the platform can sit in a customer environment. The AWS Marketplace listing is a way to buy, not a deployment option. Defend AI installs through a single hook based integration, a one line install by API, SDK or webhook, and Straiker says it deploys in minutes. SourceStraiker, straiker.ai/platform and /products/defend-airead 2026-10-05 |
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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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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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StraikerPrebuilt Agents, Templates & Packs Prebuilt evaluations ship with the platform (new STAR Labs research becomes a production evaluation as it lands), along with compliance mappings to OWASP, MITRE ATLAS, NIST and the EU AI Act. The evaluation catalog and the attack agents are not named. Packaged solutions cover coding agents, custom built agents, productivity agents, the agentic kill switch, MCP and agent skills security, AI compliance and governance, and EU AI Act readiness for agents. Ascend AI also hands over remediation playbooks matched to the customer's risk tolerance. SourceStraiker, straiker.ai/platform and /products/ascend-ai; straiker.ai/products/ascend-airead 2026-10-05 |
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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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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-protectionread 2026-10-06 |
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StraikerModel Flexibility & Routing The detection models are Straiker's own, and it offers no model choice or routing for the customer. Defend AI reports 98.1% detection accuracy at under 300 ms of latency and 6 to 21 times fewer false positives than frontier models used as judges, and it inspects text, code, images, audio and file uploads. SourceStraiker, straiker.ai/products/defend-airead 2026-10-05 |
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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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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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StraikerAPIs, SDKs & MCP Extensibility Customers integrate through an API, SDK, webhook or AI sensor, though no API reference or SDK documentation is public, since the developer docs at docs.straiker.ai ask for an access code. Ascend AI also hooks into CI/CD pipelines to catch issues during builds and guide developers to fix them early. SourceStraiker, straiker.ai/products/defend-ai, /products/ascend-ai and docs.straiker.airead 2026-10-05 |
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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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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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StraikerTesting, Debugging & Optimization Ascend AI continuously red teams the customer's agents across tools, MCP servers and workflows in development, staging and production, reporting real impact (code execution, exfiltration, tool abuse) mapped to OWASP, to MITRE ATLAS, to NIST and to the EU AI Act. Assessments run continuously, on a schedule or on demand, and also report unauthorized actions. Each finding becomes a suggested Defend AI policy. Straiker claims the highest attack success rate in the industry, and the mapped results serve as evidence for compliance reviews. SourceStraiker, straiker.ai/products/ascend-ai and /platformread 2026-10-05 |
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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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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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StraikerBrowser & Computer Use The platform works through hooks, APIs, SDKs and sensors, and its own agents use no browser or computer. It does watch coding agents such as Cursor, Claude Code and GitHub Copilot for destructive commands, file access violations and suspicious outbound access. SourceStraiker, straiker.ai/platform and /products/defend-ai; straiker.ai/products/defend-airead 2026-10-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | N Noma Security |
S Straiker |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales; no prices published. Demo on request. | AWS Marketplace: 12-month contract at $100,000 per year for platform access (about $8,333 a month), billed on committed units for the agent footprint; scoped quotes from the vendor. |
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Pricing confidence How public the numbers are |
Contact only | Public, partial |
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Billing Primary billing axis |
Inference, not stated by the vendor: agents secured, MCP servers covered, integrations and deployment scope. | Committed units representing the agent footprint, annual contract. |
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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 | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its 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.
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· 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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