Build Secure-By-Design Agents with Lasso

The creation of AI agents has rapidly become democratized across the enterprise.

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Initially driven by development teams, it is now expanding across business functions. Employees outside R&D are increasingly building agents connected to the organization’s internal resources to automate workflows, structure access to information, accelerate tasks, and support decision-making.

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As agents multiply, so do the risks: sensitive data exposure, uncontrolled access, unauthorized actions, and misuse of internal tools. Reactive security is no longer sufficient. Organizations need posture management that governs every AI agent across the enterprise before an incident occurs and that starts at the moment an agent is built.

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That's why Lasso's AI Security Platform includes AI Security Posture Management (AI-SPM): a continuous approach to mapping and securing every AI agent across the organization by design.

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Security Starts with Agents Discovery

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Lasso’s AI-SPM automatically discovers and maps AI agents across the enterprise. For each agent, it builds a detailed dependency graph that shows how the agent works, who created it, when it was created, how it is used, and which components it connects to, including LLMs, APIs, databases, sub-agents, and business applications.

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This gives security teams a complete, continuously updated inventory of their AI agent ecosystem, with full visibility into which agents are active, who owns them, and where risks may exist before they become exploitable.

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Mapping The Full Dependencies Graph

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Every AI agent relies on a chain of components to operate and every link in that chain is a potential point of failure.

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Through static scans across every component connected to the agent, security teams can visualize every AI application and its connected sub-agents, LLMs, databases, APIs, MCPs, and more. With this visual graph, delegation chains become clear, which enables the ability to identify where permissions or authorization boundaries are missing, and map those gaps directly to OWASP risks and agentic vulnerability frameworks across the supply chain.

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Overall, it means security teams will understand not only that a vulnerability exists, but where it sits in the architecture, how it could be exploited, and which component needs attention. They can then identify the highest concentrations of risk across the organization, determine which agents are most exposed, and prioritize remediation before those agents reach production.

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Creating a Closed Loop Between Security and Development

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Once vulnerabilities are mapped, remediation needs to reach the right people fast.

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Lasso connects security findings directly to the development teams responsible for each agent. Rather than discovering issues too late, teams can address issues directly during the build process, with precise visibility into the components that need to be fixed. Organizations that adopt this approach reduce Mean Time to Resolve (MTTR) by up to 95% compared to point solutions that operate in isolation.

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Security teams also gain the context they need to prioritize effectively. They know which agents are business-critical, who created them, who owns them, how they are used, and which systems they connect to. That context determines what gets fixed first, who gets involved, and how fast risk is mitigated.

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Securing By Design, Across the Entire AI Lifecycle 

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AI security cannot start after deployment. By the time an agent is live and connected to internal systems, the risk already exists. That’s why Lasso's AI-SPM is a part of Lasso’s full AI Security Platform, which covers the entire agent lifecycle across discovery, AI risk management, automated red teaming, and runtime protection through a continuous loop where each stage feeds the next.