Agentic Index
Straiker vs Zenity (2026)
Both vendors last verified
Straiker and Zenity both secure the agents an enterprise runs, from different starting points. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Straiker is built around testing and runtime defense: Discover AI maps each agent's tools and permissions, Ascend AI attack agents red team on every model or prompt change, and runtime tracing blocks bad actions, as SaaS or on premises, with platform access at $100,000 a year on AWS Marketplace. Zenity is built around governance: inventory across SaaS, cloud, endpoint and coding agents, posture checks, runtime Boundaries, an Evaluate API and Blue Agent triage with human approval, with usage based prices on AWS Marketplace. Straiker maps what each attack achieved, such as code execution or data exfiltration, to OWASP and MITRE ATLAS, while Zenity is certified to SOC 2 Type II, ISO 27001 and ISO 27701. Choose Straiker to attack every change before it ships, and Zenity to govern agents across the business.
On the Agentic Index AI SOC ranking, neither Straiker nor Zenity clears the bar, which asks for all five investigation loop capabilities documented in full. Straiker does not document human oversight and guardrails in full; Zenity does not document workflow orchestration 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 Straiker nor Zenity clears the bar, which asks for all five production contract capabilities documented in full. Straiker does not document security and identity governance in full, nor model flexibility and routing; Zenity 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. Straiker and Zenity 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 Straiker if
- Red teaming should trigger on every model deployment or prompt change.
- You need the platform on premises, not only as SaaS.
- Findings should map to OWASP, MITRE ATLAS, NIST and the EU AI Act.
Choose Zenity if
- You need SOC 2 Type II and ISO 27001, SSO through Okta or SAML, and an IP allowlist.
- Human approval should sit on finding triage.
- Usage based pricing suits you better than an annual platform fee.
| Feature | S Straiker |
Z Zenity |
|---|---|---|
| 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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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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ZenityIntegrations & Tool Calling Zenity covers Microsoft's Copilot Studio, Microsoft 365 Copilot, Power Platform and Azure AI Foundry, Salesforce Agentforce, AWS Bedrock and Google Vertex AI, ChatGPT Enterprise and Claude Enterprise, and ServiceNow. It also covers GitHub Copilot, OpenAI Codex, Microsoft Foundry and Agent 365. Custom agents report through OpenTelemetry, and Zenity integrates with CrowdStrike Falcon SIEM and ServiceNow. Sourcezenity.io/platformread 2026-09-28 |
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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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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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ZenityWorkflow Orchestration Surface, Enforce and Protect run as a fixed product pipeline, and one Guardian Agent is live, Blue Agent, a triage assistant that works in several steps. There is no coordination among several agents and no flow the customer configures. The Clarity and Correlation agents from earlier descriptions no longer appear. Sourcezenity.io/blog/august-2026-product-updatesread 2026-09-28 |
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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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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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ZenityTriggers & Channel Coverage Boundaries check every agent action in real time as it happens, in prevention or detection mode, and Blue Agent triages findings as they arrive, so events start the work with no one launching it. Sourcezenity.io/platform/runtime-boundariesread 2026-09-28 |
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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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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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ZenityKnowledge Grounding & RAG A live inventory covers agents across SaaS, custom and endpoint deployments, with identity, data and behavior signals correlated into attack paths. There is no retrieval layer that an agent queries, and Blue Agent gathers context for each finding. Sourcezenity.io/platformread 2026-09-28 |
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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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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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ZenityMemory & State Persistence Blue Agent's triage guidelines are generated at onboarding and persist for the organization, and the agent suggests revisions when it sees a need. That state persists and the agent maintains it, and Zenity says nothing more about its scope or lifetime. Sourcezenity.io/blog/august-2026-product-updatesread 2026-09-28 |
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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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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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ZenityHuman Oversight & Guardrails Blue Agent runs in suggest mode, so nothing it proposes is applied without a person's approval. On the customer's agents, Boundaries let an action through, block it or shut the agent down. Sourcezenity.io/blog/august-2026-product-updatesread 2026-09-28 |
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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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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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ZenitySecurity, Identity & Governance Attestations on the trust center cover SOC 2 Type II, ISO 27001 and ISO 27701, with full reports on request. Account setup offers SSO through Azure AD and Okta or generic SAML and OIDC, along with an IP allowlist and encryption keys the customer manages. FedRAMP is in process, not authorized. Sourcedocs.zenity.io/ssoread 2026-09-28 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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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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ZenityObservability & Auditability The customer's agents are analyzed in context: execution paths, tool invocations and memory updates, along with decision flows, RAG queries and file access. Each agent has an activity record, and spans from custom agents come in through OpenTelemetry, so every tool call the customer's agents make is on record. Sourcezenity.io/platform/ai-observabilityread 2026-09-28 |
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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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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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ZenityDeployment & Data Residency Commercial customers get SaaS on AWS. A federal deployment inside Knox Systems' platform is in process for FedRAMP, a second environment not yet authorized. There is no region list or option to host in the customer's own environment. Encryption keys the customer manages protect data but do not set where it lives, and the agent platforms Zenity covers are not where it is hosted. Sourcezenity.io/company-overview/newsroom/company-news/zenity-achieves-fedramp-in-process-status-for-ai-agent-securityread 2026-09-28 |
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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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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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ZenityPrebuilt Agents, Templates & Packs A library of prebuilt Boundaries rules and a snippet library of prebuilt examples ship without a named catalog, and one Guardian Agent, Blue Agent, is live. There is no named set of prebuilt agents. Sourcezenity.io/platform/runtime-boundariesread 2026-09-28 |
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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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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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ZenityModel Flexibility & Routing No model provider, choice or routing is named for Blue Agent or the platform's analysis. Zenity covers agents built on many models, which does not give its customers a choice of model for Zenity itself. Sourcezenity.io/platformread 2026-09-28 |
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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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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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ZenityAPIs, SDKs & MCP Extensibility The Evaluate API lets customers' custom agents call Zenity for inline enforcement decisions on their actions, alongside OpenTelemetry ingestion. It has a public documentation page, Custom Agents: Evaluate API, but the page shows no reference content. Sourcedocs.zenity.io/integration/custom-agents-evaluate-apiread 2026-09-28 |
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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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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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ZenityTesting, Debugging & Optimization Before anything goes live, the customer's agents are checked for configuration and permissions against policy, and attack paths that correlated signals show to be reachable are scored from 0 to 100. That validates configuration. There is no red teaming or scored test run against the customer's agents. Sourcezenity.io/platform/ai-exposure-managementread 2026-09-28 |
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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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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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ZenityBrowser & Computer Use Zenity governs other agents, browser and endpoint agents among them, and does not drive an interface itself or use a browser or computer. Sourcezenity.io/platformread 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | S Straiker |
Z Zenity |
|---|---|---|
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Entry price Lowest public entry point |
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. | AWS Marketplace (Security Hub Extended): Observability at $130 per resource per month, plus Runtime Protection at $16 and Guardrails for AWS at $2 per million tokens per month. |
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Pricing confidence How public the numbers are |
Public, partial | Public, partial |
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Billing Primary billing axis |
Committed units representing the agent footprint, annual contract. | Per monitored resource per month for observability, plus per million tokens for runtime protection and guardrails (AWS Security Hub Extended); private-offer contracts otherwise. |
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Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Straiker
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· Human approval / guardrails
Straiker launched the Agentic Kill Switch, a new security control designed to take rogue or compromised enterprise AI agents offline in seconds.
Source
Zenity
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· Human approval / guardrails
Zenity now supports tool call validation in Anthropic's Inference Hooks for Claude Enterprise, so each tool call Claude proposes is held for an allow or deny verdict from Zenity before it runs.
Source -
· Integrations
Zenity announced an integration with AWS Security Hub to secure enterprise AI agents.
Source -
· Integrations
Zenity extended its AI agent security and governance platform to support Claude Enterprise.
Source
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