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Protect agent actions with policy, tracing, and runtime defense
Lineation is an agent security platform that monitors, governs, and defends AI workflows across tools and providers. It meters pricing by protected agent actions, with plans for prototypes, teams, and enterprise deployments.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
Enterprise
Chrome Extension
B2B
Usage-Based
Cloud Hosted
Self-Hosted
For Teams
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Recent activity
What's happened with Lineation lately
-
Score change
triggered by news
Agenticness score 14 → 13 ↓ 14 → 13/36(-1)
Score re-evaluated after: Neat's locally hosted beta ties AI models to meeting-room controls, turning 1 product into agent-driven IT management.
See the news that prompted this - Neat's locally hosted beta ties AI models to meeting-room controls, turning 1 product into agent-driven IT management.
News
Neat announced Neat Pulse MCP, a locally hosted beta that connects its management platform with large language models. The company says the tool is built for agent-driven IT administration across workplace meeting systems. It also introduced Intelligent Framing for its hardware and software collaboration platform. For those tracking agentic AI products, this shows vendors moving from chat features to systems that can manage devices and workflows.
via The Business Times
News mentions sourced from our news feed; score changes from periodic re-evaluations.
About
What It Is
What To Know
Key Features
Monitors prompt evaluations, tool/API calls, database access, and final responses as protected agent actions
Provides real-time dashboards across multiple providers
Logs reasoning and decision activity for agent workflows
Auto-discovers shadow AI
Supports policy-as-code evaluated at runtime
Use Cases
Security teams monitoring AI agents that call external tools, APIs, or databases
Platform teams enforcing policy and approval gates for production agent workflows
Regulated organizations that need audit trails, retention, and trust reports for AI systems
Agenticness
: Guided Assistant
Executes tasks you assign, one step at a time, within narrow domains.
High evidence
Last evaluated:
Jul 31, 2026
Dimension Breakdown
Action Capability
Autonomy
Planning
Adaptation
State & Memory
Reliability
Interoperability
Safety
Operator Sovereignty
Categories
Pricing
- Free: $0/month; 1 monitored agent, basic visibility, capped at 5k actions/month, card required but no charge.
- Growth ($249/mo): 1 workspace, up to 3 monitored agents, up to 50k protected actions/month, with prompt-injection protection, scrubbing, real-time PII redaction, sandboxing, kill-switch, alerts, 7-day retention, and 1 trust report export/month. Overage: $0.0005/action.
- Team ($1,399/mo): 3 workspaces, up to 15 monitored agents, up to 1M protected actions/month, plus policy templates, custom rules-as-code, immutable lineage view, 14-day retention, unlimited trust report exports, and business-hours SLA support. Overage: $0.0004/action.
- Enterprise: Custom annual contract with on-prem or cloud deployment, advanced policy controls, RBAC, customizable retention, auto-discovery of shadow AI, dedicated onboarding, monthly security review, white-label trust report pack, and premium 24/7 pager support. Overage from $0.00035/action.
Details
AddedJuly 16, 2026
RefreshedJuly 16, 2026
Agenticness
Quick Facts
DeploymentHybrid (cloud + self-hosted)
AutonomySemi-autonomous
Model supportMulti-model
Open sourceNo
Team supportEnterprise
Pricing modelUsage-based
Interfacegui, api
Sources
Last updated
August 18, 2026
Free daily brief
When Lineation changes its pricing, we catch it the next morning
We recrawl every tool in this directory daily. AI Insider is the 3-minute brief on what actually changed — pricing, features, score moves on our 36-point rubric — often before any press coverage. Sent daily. Skipped when nothing happened.
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