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Lineation

Security control plane for AI agents — zero-trust agent identity, LLM and MCP gateways, policy-as-code, and prompt-injection defense

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freemiumFree $0/mo (card on file, no charge): 1 agent monitored, basic visibility, capped at 5k actions/month. Growth $249/mo: 1 workspace, up to 3 agents, 50k protected actions/mo, prompt-injection scrubbing, PII redaction, sandboxed execution, kill switch, 7-day retention, 1 trust report export/mo, $0.0005/action overage. Team $1,399/mo: 3 workspaces, 15 agents, 1M actions/mo, policy templates and rules-as-code, immutable lineage view, 14-day retention, unlimited exports, priority support, $0.0004/action overage. Enterprise custom annual with on-prem or cloud deployment. 14-day Growth trial, card required, no charge.View full pricing →

Visit Lineation

https://lineation.ai

About Lineation

Lineation is a security control plane for AI agents, positioned for the gap between traditional perimeter security and agents that read documents, call APIs, and move money on their own. It organizes agent security into three layers you can adopt in order. Observability gives real-time dashboards across every provider, reasoning and decision logs, auto-discovery of shadow AI nobody registered, and a replay mode that functions as a black box recorder for agent runs. Governance adds policy-as-code evaluated at runtime, RBAC and approval gates, zero-trust non-human agent identity so every agent has a scoped, owned, continuously authorized credential instead of a shared API key, and templates for SOC 2, HIPAA, and the EU AI Act. Defense covers prompt-injection scrubbing, PII and secret redaction at output time, sandboxed execution, and a kill switch for compromised agents. Two gateways make it enforceable: an LLM gateway that normalizes and policy-checks requests before forwarding to OpenAI, Claude, Gemini, or Copilot, and an MCP gateway applying the same identity, policy, and audit to MCP tool and server traffic so tool calls are mediated like model calls. The architecture is central governance with distributed enforcement — decide in one place, prove everywhere. Billing is per protected action, defined as any brokered step: evaluating a prompt, calling a tool or API, hitting a database, or delivering a final response. Internal chain-of-thought loops do not consume quota. On-prem and air-gapped deployments are offered.

Key Features

Real-time observability across every LLM provider with reasoning and decision logs
Auto-discovery of shadow AI agents
Replay mode — a black box recorder for agent runs
Policy-as-code evaluated at runtime with RBAC and approval gates
Zero-trust non-human agent identity, no shared API keys
LLM gateway and MCP gateway under one policy plane
Prompt-injection scrubbing, PII and secret redaction, sandboxed execution, kill switch
SOC 2, HIPAA, and EU AI Act policy templates
On-prem and air-gapped deployment options

Lineation Pros & Cons

Pros

  • +Covers observability, governance, and active defense rather than one slice
  • +MCP tool calls are mediated with the same rigor as model calls
  • +Transparent per-action billing with published overage rates
  • +Air-gapped and on-prem options for regulated buyers

⚠️ Cons

  • Big jump from $249 to $1,399 between Growth and Team
  • Free tier requires a card on file
  • Gateway architecture puts a hop in front of every model and tool call
  • Aimed at security teams — heavy for a solo developer

Who Is Lineation Best For?

👤Security and platform teams governing agents in production
👤Companies selling AI products into regulated or security-conscious buyers
👤Teams that need an audit trail from prompt to tool to data to actor

Tags

agent securityprompt injectionmcp gatewayllm gatewayzero trustai governanceeu ai act
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