Lineation is the accountability layer for AI agents. Cross-provider policy enforcement, runtime defense, and forensic lineage for OpenAI, Anthropic, Google & Copilot. Delivering a solution at the intersection of GenAI Application Security and Runtime Defense, Lineation introduces a Zero Trust unified control plane and a lightweight endpoint daemon that secures autonomous AI agents directly at execution.
We ve all seen the shift over the last year. We went from building simple, sandboxed chatbots to unleashing autonomous AI agents that can read internal drives, call external APIs, and even trigger payment workflows.
We’ve moved from static AI (chatbots) to agentic AI (agents that move money, call APIs, and read documents). The old security perimeters are blind to these chains of thought. Lineation gives you the 'black box' recorder for your AI agents so you can govern them without breaking them.
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A native Slack or PagerDuty hook would be really useful so my team gets pinged the moment a policy gets violated instead of having to watch the dashboard. Right now finding out after the fact kind of defeats the purpose for fast-moving agent fleets.
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@hlyasoyserwd24 Lineation is made by engineers for engineers, security, defense and compliance focused teams - we are passionate about providing the best tools to keep teams efficient and let them move quickly!
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Cross-provider enforcement sounds great but right now it is hard to tell which exact policies map to which agent actions. A built-in policy template library with starter rules for common frameworks like LangChain or CrewAI would save a ton of setup time and make evaluation way easier for new users.
Set this up with a couple of test agents and the cross-provider policy enforcement actually caught a prompt injection I missed. The forensic lineage view is surprisingly clear, makes tracing decisions across models way less painful than I expected.
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AI adoption is accelerating, but governance is becoming the real differentiator. It’s encouraging to see a platform focused on helping organizations operationalize responsible AI instead of treating governance as a compliance checkbox. Looking forward to seeing how this evolves!
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AI adoption is accelerating, but governance is quickly becoming the real differentiator. Curious to see how Enterprise tackle this is AI agents move into production.
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Love seeing a security‑first approach to agent orchestration. The runtime visibility layer feels like a game‑changer — especially the way you surface policy violations as they happen.
A native Slack or PagerDuty hook would be really useful so my team gets pinged the moment a policy gets violated instead of having to watch the dashboard. Right now finding out after the fact kind of defeats the purpose for fast-moving agent fleets.
@hlyasoyserwd24 Lineation is made by engineers for engineers, security, defense and compliance focused teams - we are passionate about providing the best tools to keep teams efficient and let them move quickly!
Cross-provider enforcement sounds great but right now it is hard to tell which exact policies map to which agent actions. A built-in policy template library with starter rules for common frameworks like LangChain or CrewAI would save a ton of setup time and make evaluation way easier for new users.
@esranldf Agreed
Set this up with a couple of test agents and the cross-provider policy enforcement actually caught a prompt injection I missed. The forensic lineage view is surprisingly clear, makes tracing decisions across models way less painful than I expected.
Love seeing a security‑first approach to agent orchestration. The runtime visibility layer feels like a game‑changer — especially the way you surface policy violations as they happen.