Agentic Index
DeepKeep vs Zenity (2026)
DeepKeep and Zenity both secure the AI agents an enterprise builds and uses, from different starting points, and they sit close on the grid, 8.5 and 9 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
DeepKeep starts from testing: red teaming of models, apps and agents with a steerable agent, an inline AI Firewall and an agent scanner, from SaaS to air gapped. Zenity starts from governance: a live inventory of agents across SaaS, cloud, endpoint and coding tools, posture checks before go live, runtime Boundaries that allow, block or shut down agent actions, and Blue Agent triage with human approval. Zenity holds SOC 2 Type II and ISO 27001 and lists usage based prices on AWS Marketplace. On the grid DeepKeep is Full on deployment and testing where Zenity is Partial; Zenity is Full on its API and security and Partial on memory where DeepKeep is Partial or None. Choose DeepKeep to attack your AI before release; choose Zenity to govern the agents already running.
On the Agentic Index AI SOC ranking, neither DeepKeep nor Zenity clears the bar, which asks for all five investigation loop capabilities documented in full. Neither documents workflow orchestration in full. 23 of the 85 vendors in the lane clear it. See the AI SOC ranking
On the Agentic Index agent infrastructure ranking, neither DeepKeep nor Zenity clears the bar, which asks for all five production contract capabilities documented in full. DeepKeep does not document security and identity governance in full, nor model flexibility and routing; Zenity documents two of the five in full. 34 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. DeepKeep 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 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose DeepKeep if
- Red teaming your models and agents before release is the priority; DeepKeep is Full on testing and Zenity Partial.
- Deployment must reach air gapped environments.
- You build agents on n8n, CrewAI, Make or Dify and want them scanned.
Choose Zenity if
- You need a live inventory of agents across SaaS, cloud, endpoints and coding tools.
- Runtime controls should allow, block or shut down agent actions; Zenity is Full on security.
- Usage based prices on AWS Marketplace suit your procurement.
| At a glance | DeepKeep | Zenity |
|---|---|---|
| Category | Security / SOC agent | Security / SOC agent |
| Entry price | Contact for pricing | 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. |
| Free / trial | No free tier or trial published. A Scan your Agent form offers an agent attack surface scan but it routes to a submission form rather than self serve access. | 30-day free trial on the AWS Marketplace listing |
| Pricing confidence | contact only | public partial |
| Feature | D DeepKeep |
Z Zenity |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Partial |
|
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. |
Full / Explicit | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Partial | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D DeepKeep |
Z Zenity |
|---|---|---|
|
Entry price Lowest public entry point |
Contact for pricing | 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. |
|
Pricing confidence How public the numbers are |
Contact only | Public, partial |
|
Billing Primary billing axis |
Not published. No seat, token, interaction or scan unit disclosed anywhere retrieved. | Per monitored resource per month for observability, plus per million tokens for runtime protection and guardrails (AWS Security Hub Extended); private-offer contracts otherwise. |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
No free tierTrial
|
|
Buying motion Self-serve vs sales call |
Sales call | Mixed |
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