Lasso Security AI Security Posture Management

Paid#6 of 18 in AI Security Posture Management (AI-SPM) Tools Software

Lasso Security AI Security Posture Management: Continuous AI-agent discovery, risk analysis and developer-focused remediation guidance. Ranked #6 of 18 in AI Security Posture Management (AI-SPM) Tools Software by our editors (7.8/10); pricing: Pricing on request; best for enterprises governing many AI agents.

7.8/10★★★★☆Editor score

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At a glance

• Editor score
  7.8 / 10
• Pricing
  Pricing on request
• Best for
  Enterprises governing many AI agents
• AI asset discovery
  Yes
• Founded
  2023 · Tel Aviv, Israel and New York, United States
• Facts checked
  24 Sep 2026

• Where it wins

  • Maps agents, models, tools, APIs, databases, prompts and MCP servers
  • Assesses misconfigurations, risky access, attack paths and supply-chain risks
  • Maps findings to frameworks and points developers to affected components

• Where it doesn't

  • Pricing requires contacting sales rather than choosing a published plan
  • Its focus on AI-agent security may not suit broader security needs
  • Listed support channel is email

Our verdict on Lasso Security AI Security Posture Management

Lasso Security AI Security Posture Management helps security teams discover and govern AI agents across code repositories, cloud environments and agent-builder platforms. It is aimed at enterprises and mid-market organizations managing agents through development and deployment. The platform builds visual graphs of models, tools, APIs, databases, prompts, MCP servers and execution paths, giving teams a view of how agent components connect and where risks may arise.

Its core value is the combination of continuous discovery with assessment and actionable findings. Lasso checks for misconfigurations, risky tool access, attack paths, supply-chain risks and policy gaps, and reassesses as agents change. Risk scoring covers agents, tools and MCP connections. Findings map to OWASP, MITRE, NIST, the EU AI Act and internal policies; developer remediation guidance identifies specific findings and affected components. Integrations include Vertex AI, Microsoft Copilot, AWS Bedrock, Salesforce Agentforce, CI/CD pipelines, cloud platforms, Claude Code, Cursor, OpenAI Codex and OpenCode. Cloud and self-hosted deployment options support different environments.

According to Lasso's published pricing information, there is no public AI-SPM price list; prospects are directed to book a demo, so buyers should expect a sales-led evaluation rather than self-serve plan selection. Email is the listed support channel. This is a strong fit for security teams that need an inventory, dependency view and developer-facing remediation process across a changing agent estate. Organizations seeking a general-purpose security platform, or a product they can evaluate through transparent published plan prices, should consider alternatives.

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Lasso Security AI Security Posture Management pricing

Lasso Security AI Security Posture Management fact sheet

Lasso Security AI Security Posture Management integrations

Lasso Security AI Security Posture Management lists 10 integrations on its own site.

• Vertex AI
• Microsoft Copilot
• AWS Bedrock
• Salesforce Agentforce
• CI/CD pipelines
• Cloud platforms
• Claude Code
• Cursor
• OpenAI Codex
• OpenCode

Alternatives to Lasso Security AI Security Posture Management

• Noma AI-SPMNoma AI-SPM maps enterprise AI risk across agents, models, MCP and supply chains.8.8
• Orca AI Security Posture ManagementAI-SPM for inventory, posture checks, remediation, and runtime monitoring across cloud AI.8.6
• Netskope One AI Command CenterA Netskope-centered AI inventory and risk-control service for large enterprises.8.4

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Lasso Security AI Security Posture Management vs the competition

• Lasso Security AI Security Posture Management vs Noma AI-SPM
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• Lasso Security AI Security Posture Management vs Microsoft Defender for Business
• Lasso Security AI Security Posture Management vs Pillar Security Platform
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update