Agentic Index
Operant AI vs Trent AI (2026)
Both vendors last verified
Operant AI and Trent AI both secure AI agents, at different points in their life. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Operant guards at runtime, tracing each run from prompt to tool calls to memory and allowing, blocking or redacting inline across agents, MCP servers and employee AI tools, with VPC, on premises or air gapped deployment on its Enterprise plan. Trent works earlier, with four specialist agents that scan code, cloud and AI agents, open fix pull requests and verify them inside developers' coding tools. Neither publishes a price. Choose Operant for inline control of agents in production, and Trent for fixes delivered to developers.
On the Agentic Index AI SOC ranking, neither Operant AI nor Trent AI clears the bar, which asks for all five investigation loop capabilities documented in full. Operant AI does not document workflow orchestration in full, nor human oversight and guardrails; Trent AI documents one of the five 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 Operant AI nor Trent AI clears the bar, which asks for all five production contract capabilities documented in full. Operant AI does not document model flexibility and routing in full, nor testing, debugging and optimization; Trent AI 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. Operant AI and Trent AI 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 Operant AI if
- Agents and MCP servers in production need inline allow, block or redact decisions.
- Each run should be traced from prompt to tool calls to memory.
- Employee AI tools are in scope too.
Choose Trent AI if
- You want exploitable risk fixed in code before release.
- You want specialist agents that open fix pull requests inside developers' coding tools.
- Findings should reach developers inside their coding tools.
| Feature | O Operant AI |
T Trent AI |
|---|---|---|
| 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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Operant AIIntegrations & Tool Calling Agent Protector covers the MCP ecosystem, CrewAI, Microsoft Foundry, AWS AgentCore, the OpenAI Agent SDK, LangGraph, n8n and Vertex AI Agent Builder, and blocks actions outside scope inline. It offers IdP integration and, by tier, SIEM, SOC and SOAR integrations, acting in those outside systems. It finds managed agents and unmanaged ones running in cloud environments, SaaS platforms and development tools, and Endpoint Protector covers coding agents and shadow AI tools on employee devices. SourceOperant AI, operant.ai/platform/agent-protector, /platform/pricing and operant.airead 2026-10-05 |
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Trent AIIntegrations & Tool Calling The Remediation Agent opens pull requests and adjusts configurations through a GitHub App connection, and fixes can also go to the customer's coding assistant as a ready to run prompt. GitHub is the only write connector named. The Security Connectors pull findings from Semgrep, Notion, Linear and SARIF tools and are read only, so Trent reads those sources and writes nothing back. Sourcetrent.ai/productread 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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Operant AIWorkflow Orchestration The product runs a fixed discover, detect and defend pipeline across Agent Protector, MCP Gateway, AI Gatekeeper and Endpoint Protector. It does not orchestrate the customer's agents or offer a flow the customer builds. SourceOperant AI, operant.airead 2026-10-05 |
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Trent AIWorkflow Orchestration Four specialist agents divide the work. They are a Threat Scanning Agent, an Analysis Agent that classifies signal from noise and prioritizes by business impact, a Remediation Agent and a Security Posture Agent. Sourcetrent.ai/productread 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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Operant AITriggers & Channel Coverage Decisions fire inline without a person. Each agent action, MCP connection and endpoint AI request is allowed, blocked or redacted, with observability data analyzed in real time. The Semantic Firewall makes those allow, block or redact calls based on intent, inline across AI operations. SourceOperant AI, operant.ai/platform/agent-protector and operant.airead 2026-10-05 |
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Trent AITriggers & Channel Coverage Scanning of code, cloud and agents is continuous by Trent's account, and rescans update the findings. No event, webhook or schedule that starts the agents is named, and the plugin and MCP tools run when the developer's assistant calls them. Sourcetrent.ai/productread 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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Operant AIKnowledge Grounding & RAG Discovery of managed and unmanaged agents, an MCP registry and tool activity graphs of correlations and dependencies map the customer's AI estate, and MCP Gateway adds live visibility across MCP servers, clients and tools. Operant names no retrieval structure that its agents draw on. SourceOperant AI, operant.ai/platform/agent-protector and operant.airead 2026-10-05 |
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Trent AIKnowledge Grounding & RAG A context layer built by Trent covers the customer's application code, infrastructure code, configurations, agents and automations. Its Inventory and Architecture Review maps software, services, agents and data flows, later rescans keep that map current, and the agents reason over it. Trent does not say how the context layer is stored. Sourcetrent.airead 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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Operant AIMemory & State Persistence Operant traces and protects the customer's agent memory stores but gives the agents no memory of its own. Sourceoperant.ai/platform/agent-protectorread 2026-09-28 |
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Trent AIMemory & State Persistence The scanning agent, by Trent's account, learns where to look and reduces noise over time. The context layer holds knowledge about the customer's estate, and Trent names no agent memory with a stated scope and lifetime. Sourcetrent.ai/productread 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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Operant AIHuman Oversight & Guardrails Inline decisions are allow, block or redact, with MCP allow and deny lists, agent identity and access enforcement and Intent and Scope Guards. The customer sets these limits, and no step asks a person to approve an agent action before it goes through. Agent ScopeGuard lets the customer define the data sources an agent can reach, the APIs it can call and the workflows it can start. SourceOperant AI, operant.ai and /platform/agent-protectorread 2026-10-05 |
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Trent AIHuman Oversight & Guardrails Users can challenge and regrade a severity in place, edit draft requirements and make task decisions. Trent pitches the product as "Built to Be Corrected, Not Blindly Trusted", and fixes arrive as pull requests or prompts for the developer, so the decision stays with the team. The merge gate belongs to GitHub, and Trent names no approval step of its own that holds an agent action. Sourcetrent.ai/productread 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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Operant AISecurity, Identity & Governance Every plan includes IdP integration and standard audit logs, SSO and SCIM come on Enterprise, and the company is SOC 2 Type II compliant. Agent Protector enforces zero trust for every agent identity, checking every action every time, and the Scale plan adds extended retention. SourceOperant AI, operant.ai/platform/pricing and /platform/agent-protectorread 2026-10-05 |
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Trent AISecurity, Identity & Governance Organization workspaces carry role based access control. Admins manage members and roles, create GitHub App connections, and view and revoke any member's API keys. Members run analyses and plan remediation. A trust center sits at trust.trent.ai, and no attestation is named outside it. Sourcetrent.ai/blog/organization-workspaces-role-based-access-controlread 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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Operant AIObservability & Auditability Agent Protector traces each agent from the first prompt through tool calls to memory store access, with execution telemetry, activity timelines and tool activity graphs that record the customer's agents tool call by tool call, all analyzed in real time. Standard audit logs come with every plan. SourceOperant AI, operant.ai/platform/agent-protector and /platform/pricingread 2026-10-05 |
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Trent AIObservability & Auditability Every finding links back to its evidence with an explanation of how Trent graded it. A Report changelog shows what moved after each rescan, and fixes are confirmed with an audit trail. Together these explain the agents' verdicts, but Trent names no run trace of the agents' own steps. Posture tracking reports on the customer's estate, not on the agents. Sourcetrent.ai/productread 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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Operant AIDeployment & Data Residency Enterprise customers can run it in their own environment, with VPC, on prem and air gapped options and multi region scaling, alongside the cloud MCP Gateway and private mode operation with automatic redaction. Agent Protector also offers secure enclaves for private agents kept in house. SourceOperant AI, operant.ai/platform/pricing and /platform/agent-protectorread 2026-10-05 |
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Trent AIDeployment & Data Residency Customers can run Trent in public cloud, in their own VPC or on premises, wherever their security and compliance posture demands. The hosted MCP service has separate US and EU endpoints at mcp.trent.ai and mcp.eu.trent.ai. Sourcetrent.airead 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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Operant AIPrebuilt Agents, Templates & Packs Prebuilt guardrails and detectors ship with the product. They cover the OWASP LLM Top 10 and about 100 sensitive data types, and include CodeInjectionGuard and Intent and Scope Guards, plus MDM templates. Operant publishes no named catalog of them and offers no prebuilt agents. The product line is Agent Protector, MCP Gateway, AI Gatekeeper, Endpoint Protector and the Semantic Firewall, sold in Pro, Scale and Enterprise tiers. SourceOperant AI, operant.ai/platform/pricing and operant.airead 2026-10-05 |
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Trent AIPrebuilt Agents, Templates & Packs Four prebuilt agents ship with Trent, each with its own job. They are Threat Scanning, Analysis, Remediation and Security Posture. A plugin for Claude Code and Codex CLI packages review, threat modeling and remediation tracking skills. Sourcetrent.ai/productread 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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Operant AIModel Flexibility & Routing Operant secures traffic to models from other providers and offers no model choice or routing of its own. AI Gatekeeper protects the customer's APIs and LLMs against unauthorized access and OWASP Top 10 attacks. SourceOperant AI, operant.airead 2026-10-05 |
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Trent AIModel Flexibility & Routing Customers can run Trent with frontier, open source or private models, including their own. No provider list is published. Sourcetrent.airead 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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Operant AIAPIs, SDKs & MCP Extensibility The Enterprise plan includes API and webhooks, and Woodpecker is open source, but Operant publishes no API reference or SDK. The MCP Gateway governs the customer's MCP servers as part of what the product does, not as a way to extend it. The Scale plan adds SIEM, SOC and SOAR integrations. SourceOperant AI, operant.ai/platform/pricingread 2026-10-05 |
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Trent AIAPIs, SDKs & MCP Extensibility A hosted MCP server of Trent's own runs at https://mcp.trent.ai/mcp and https://mcp.eu.trent.ai/mcp. Users sign in through the browser, or use one API key for a remote connection. The server comes through an MIT licensed plugin for Claude Code and Codex CLI. Its tool list is not published, and Trent names no REST API or SDK. Sourcegithub.com/trnt-ai/trent-agent-pluginread 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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Operant AITesting, Debugging & Optimization Woodpecker, Operant's open source red teaming CLI, runs experiments against Kubernetes, Docker and cloud applications. It names no tests against the customer's agents and sits outside the paid platform. Operant names no other way to evaluate the customer's agents. Sourcegithub.com/operantai/woodpeckerread 2026-09-28 |
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Trent AITesting, Debugging & Optimization The Remediation Agent validates that fixes work, and the Posture Agent benchmarks against standards. Both test the customer's code and estate, not Trent's agents. Trent names no harness, scored test cases or quality gate for the agents. Sourcetrent.ai/productread 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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Operant AIBrowser & Computer Use The product works at the runtime traffic, gateway and endpoint layer, and Operant names no browser or computer use. Endpoint Protector watches agent loops on employee devices and blocks prompt injection and data exfiltration. SourceOperant AI, operant.airead 2026-10-05 |
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Trent AIBrowser & Computer Use Trent reads repositories, uploaded code and live applications by URL, and works through MCP and GitHub. It names no browser or desktop operation by an agent. Sourcetrent.ai/integrationsread 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | O Operant AI |
T Trent AI |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales. Three plans (Pro, Scale, Enterprise) without published prices. | Not public; tailored proposal 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 |
Plan tier by product coverage and features; units not published. | tailored proposal; basis not disclosed |
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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 tierTrial
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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.
Trent AI
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· Agent capability
Version 0.3.0 of Trent's plugin for Claude Code and Codex adds a trent-loop skill.
Source -
· Human approval / guardrails
Trent AI introduced a new interactive experience for its AI Security Engineer, enabling users to review the agent's work incrementally instead of waiting for a complete scan.
Source
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