Agentic Index
Operant AI vs Trent AI (2026)
Both defend agents at runtime and one is considerably further along, at 9 and 7 of 14.
Operant protects every layer of live cloud and AI applications through discovery, detection and defense, deployed by single step Helm inside your own cluster with zero instrumentation, and Agent Protector adds prompt to tool to memory tracing, intent analysis, continuous re authorization of tool calls and memory poisoning protection, integrating with LangGraph, CrewAI, n8n and the ChatGPT Agents SDK, appearing in six Gartner AI security reports. Trent runs specialist scan, judge, mitigate and evaluate agents across the lifecycle, early stage with design partners. Operant is the safer purchase; Trent is the earlier bet.
Choose Operant AI if
- Documented coverage is materially broader and the deployment path is proven.
- Memory poisoning protection and continuous tool call re authorization are the specific threats you fear.
- Framework integrations across LangGraph, CrewAI and n8n cover what you actually run.
Choose Trent AI if
- Specialist agents per function is an architecture you find more extensible.
- Lifecycle coverage from scan through evaluate matches how you want to govern this.
- You are comfortable as a design partner shaping an early product.
| At a glance | Operant AI | Trent AI |
|---|---|---|
| Category | Security / SOC agent | Security / SOC agent |
| Entry price | Contact sales | Not public; early stage, working with design partners |
| Free / trial | Trial available on request; Woodpecker open source | Design partner program; no public free tier |
| Pricing confidence | contact only | contact only |
| Feature | O Operant AI |
T Trent AI |
|---|---|---|
| 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 | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
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 | Partial |
| 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 | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | 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 | No / Not documented |
| 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 | No / Not documented |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | 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 | O Operant AI |
T Trent AI |
|---|---|---|
|
Entry price Lowest public entry point |
Contact sales | Not public; early stage, working with design partners |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
scope of clusters, applications, agents, and MCP ecosystems under runtime protection | custom design partner and early customer engagements |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tierTrial
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |