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Lasso Security

Lasso Security gives enterprises observability, governance, and real-time defense for AI agents and applications.

Reviewed by Mathijs Bronsdijk · Updated Apr 13, 2026

ToolSee PricingUpdated 1 month ago
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What is Lasso Security?

Lasso Security is an AI security platform that gives enterprises visibility, governance, and real-time protection across their AI models, agents, and applications. It inventories every AI asset in an organization, including shadow AI tools adopted without IT approval, then monitors interactions and enforces policies at runtime. The platform covers the full lifecycle from pre-production red teaming through live threat detection, with a focus on risks specific to generative AI: data leaks, context poisoning, tool manipulation, and behavioral anomalies that traditional security tools miss.

Key Features

  • Shadow AI Discovery: Continuously scans and maps every AI model, agent, and application across an organization, including unapproved tools running outside IT oversight. Gives security teams full visibility into what AI is actually being used.
  • Intent Deputy: Analyzes behavioral intent behind AI agent actions in real time using session history and context. Detects anomalies like data exfiltration through seemingly benign action sequences at sub-50ms speeds with 99.83% detection accuracy.
  • Automated Red Teaming: Runs adversarial simulations using over 3,000 attack types, including prompt injection, jailbreaks, data extraction, and model manipulation. Tests AI system resilience before production deployment.
  • Real-Time Protection: Monitors and blocks malicious AI interactions in production at sub-50ms decision speeds with 99.8% accuracy. Acts as a runtime control plane for GenAI apps and agent workflows.
  • MCP Security: Secures communications between AI agents and tools or data sources through Model Context Protocol servers. Monitors and enforces policies on autonomous agent-to-tool interactions.
  • Role-Based Guardrails: Lets administrators configure boundaries tied to user roles, restricting agents to approved tasks like log analysis or compliance checks. Keeps accountability in delegated AI workflows.
  • Data Loss Prevention (DLP): Applies runtime DLP to GenAI interactions, blocking unauthorized data exfiltration during AI usage. Built for compliance requirements in regulated sectors like healthcare and finance.
  • Context-Aware Risk Scoring: Dynamically scores AI interactions based on full context to flag anomalous agent behaviors. Suggests remediations and helps security teams prioritize high-risk events.

Use Cases

  • Enterprise GenAI Security: Security teams deploy Lasso across their GenAI infrastructure for observability and governance, monitoring threats to data, employees, and customers while keeping full control over the AI environment.
  • Secure AI Agent Fleets: CISOs managing AI agents on platforms like Bedrock, Vertex AI, or Copilot use Lasso to map risks, analyze agent intent, and enforce behavioral controls across toolchains.
  • IoT and Telecom AI Adoption: Telit Cinterion partnered with Lasso to implement GenAI security across IoT and innovation ecosystems, balancing deployment speed with protection against AI-specific risks.

Strengths and Weaknesses

Strengths:

  • Unified management interface covers applications, employees, developers, and AI agents from a single dashboard
  • Sub-50ms latency for runtime decisions means production performance stays unaffected
  • Shadow AI discovery catches unauthorized AI tools that other security products miss entirely
  • Python SDK gets positive developer feedback for clean design and minimal dependencies
  • Drop-in integration with agent frameworks like LangGraph with low false positive rates after tuning
  • SOC 2 Type II, ISO 27001, PCI DSS, and GDPR certified

Weaknesses:

  • Pricing is not publicly available, requiring a sales conversation for any quote
  • No public community channels (Discord, Slack, or forums) for peer support
  • Developer documentation is described as sparse and security-focused rather than beginner-friendly
  • Error messages from the API tend to be generic ("policy violation") without actionable detail
  • Node.js/TypeScript SDK gets mixed feedback for async handling and incomplete type definitions
  • Beta SDK releases have caused breaking changes on minor updates

Pricing

Lasso Security does not publish pricing publicly. All plans require contacting the sales team for a custom quote. The platform targets enterprise deployments and appears to follow a usage-based or seat-based model tailored to each organization's scale.

  • Enterprise Plan: Custom pricing based on organization size and deployment scope. Contact sales for details.

FAQ

What does Lasso Security do?

Lasso Security gives enterprises visibility, control, and real-time protection across AI models, agents, and applications. It prevents harmful content, data oversharing, and adversarial attacks through Gateway, API, or SDK integration with custom guardrails and context-based access controls.

Does Lasso Security offer cybersecurity for AI?

Yes. Lasso focuses specifically on AI, LLM, and GenAI security. It provides real-time defense, governance, custom compliance policies, and data privacy controls. Integration options include Gateway, API, and SDK deployment.

How long does Lasso Security take to set up?

Lasso offers an onboarding wizard with specialist-assisted setup. Enterprise teams familiar with security APIs report 30 to 60 minutes for basic integration. Newcomers should expect up to a full day due to auth configuration and testing flows.

What compliance standards does Lasso Security support?

The platform holds SOC 2 Type II, ISO 27001, PCI DSS, and GDPR certifications. It aligns with NIST and OWASP frameworks for AI security posture management.

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