Lasso Security Review 2026: End-to-End GenAI Security Platform

Name: Lasso Security
Availability: OnlineOnly

Lasso Security is an AI security platform that provides end-to-end protection for enterprise GenAI adoption through a five-pillar framework: Discover, Assess, Test, Enforce, and Protect. The platform processes security decisions in under 50 milliseconds with 99.8% detection accuracy, making it one of the faster options in the AI security space alongside tools like Lakera Guard.

Founded in 2023 by Elad Schulman (CEO), Ophir Dror (CPO), Lior Ziv (CTO), and Yuval Abadi (COO), Lasso Security is an Israeli cybersecurity company that emerged from stealth with a $6 million seed round led by Entree Capital. The company has since raised $28 million in total funding from investors including Samsung Next, Singtel Innov8, Selah Ventures, and ClearSky.

Lasso was named a Gartner Cool Vendor in 2024 and has received recognition from NIST. The board includes Naftali Bennett (former Israeli Prime Minister and former CEO of Cyota, acquired by RSA) and Dean Sysman (co-founder of Axonius).

Customers include the US Department of Homeland Security, eToro, Kaltura, Artlist, Optibus, Guesty, Telit, and Nayax.

Lasso has also received the Global InfoSec Awards Winner 2026, InfoSec Award 2025, and Forum IT 100 recognition. The company is an AWS Startup participant and Microsoft for Startups member.

What is Lasso Security?

Lasso Security takes a lifecycle approach to GenAI protection through a five-pillar framework: Discover, Assess, Test, Enforce, and Protect. Each pillar addresses a different stage of the AI security challenge, from finding out what AI tools employees are using to blocking attacks against production AI systems in real time.

The platform processes decisions in under 50 milliseconds with 99.8% detection accuracy across content, context, and intent analysis. Lasso claims this is 570x more cost-effective than cloud-native guardrails, based on vendor benchmarks.

For agentic AI specifically, Lasso developed the Intent Security Framework — a behavioral baseline approach that monitors not just what AI agents do, but what they intend to do. This is critical as organizations deploy autonomous agents that interact with tools, data sources, and MCP servers without direct human oversight.

Shadow AI Discovery

Identifies every AI model, agent, and application across the organization — including unapproved tools employees are using without IT knowledge. Maps the full AI inventory to eliminate blind spots.

Automated Red Teaming

Tests AI resilience using over 3,000 attack types and adversarial techniques. Covers prompt injection, jailbreaks, data extraction, and model manipulation to find vulnerabilities before attackers do.

Intent Security Framework

Behavioral baseline detection designed specifically for agentic AI. Monitors intent behind AI interactions, secures MCP server communications, and enforces behavioral specifications on autonomous agent workflows.

Key Features

Feature	Details
Classification Speed	Sub-50ms per decision
Detection Accuracy	99.8% across content, context, and intent
Attack Library	3,000+ attack types for red teaming
Shadow AI	Full discovery and inventory of AI tools, agents, and models
Data Loss Prevention	Runtime DLP for GenAI interactions
Content Moderation	Customizable policies for AI-generated content
MCP Security	Secures Model Context Protocol server communications
Prompt Injection	Real-time detection and blocking
Compliance	Supports healthcare, finance, and public sector requirements
Deployment	Gateway, API, and SDK integration options

Five-pillar framework

Lasso’s security model is organized into five distinct stages. Discover maps the AI landscape, identifying every model, agent, and tool in use. Assess evaluates supply chain risks and security posture across the AI stack. Test runs adversarial simulations using 3,000+ attack techniques. Enforce applies guardrails and behavioral specifications to AI workflows. Protect monitors AI interactions in real time and blocks malicious activity as it happens.

Each pillar feeds data into the next, so the platform builds a continuously updated picture of an organization’s AI risk profile.

Agentic AI security

As AI agents become more autonomous, Lasso’s Intent Security Framework addresses the unique challenge of securing non-human actors. The framework establishes behavioral baselines for agents — what they should be doing, what tools they should access, and what data they should handle — then flags deviations in real time.

This extends to MCP security, where Lasso monitors the communication between agents and the tools and data sources they access through Model Context Protocol servers.

Getting Started

Request a demo — Visit lasso.security and schedule a demo with the team. Lasso offers deployment options for gateway, API, and SDK integration.

Discover your AI landscape — Deploy the Discover module to map all AI models, agents, and applications across the organization, including shadow AI tools employees are using without approval.

Assess and test — Run risk assessments on the discovered AI stack, then use automated red teaming with 3,000+ attack types to identify vulnerabilities in AI models and agents.

Enforce guardrails — Configure behavioral specifications and policy guardrails for AI workflows. Set data loss prevention rules, content moderation policies, and access controls.

Monitor and protect — Enable real-time protection to detect and block malicious prompts, data exfiltration, and unauthorized agent actions in production.

When to use Lasso Security

Ideal for organizations that need lifecycle coverage for their AI security — not just runtime defense, but discovery, assessment, testing, and governance as well. The sub-50ms classification speed keeps the platform from becoming a bottleneck in production environments, and the 3,000+ attack library provides thorough adversarial testing.

Regulated industries like healthcare, finance, and public sector benefit most, since shadow AI discovery and compliance documentation matter as much as threat detection there. The Intent Security Framework also makes Lasso a strong choice for organizations deploying agentic AI at scale.

Best for

Organizations that need full-lifecycle GenAI security — from shadow AI discovery through real-time runtime protection — with sub-50ms performance, automated red teaming, and specific support for agentic AI environments with MCP security.

For a broader overview of AI security threats, see the AI security tools guide. For infrastructure-level intent-based controls with data sovereignty, consider WitnessAI.

For automated AI red teaming specifically, see Mindgard or Garak. For open-source guardrails, look at LLM Guard or NeMo Guardrails.

Frequently Asked Questions

What is Lasso Security?

Lasso Security is an enterprise GenAI security platform that provides end-to-end protection for AI models, agents, and applications. Its five-pillar framework covers shadow AI discovery, risk assessment, automated red teaming, policy enforcement, and real-time threat detection across the entire GenAI lifecycle.

How much does Lasso Security cost?

Lasso Security uses enterprise pricing that is not publicly listed. Contact Lasso Security for a custom quote based on deployment scope and AI usage volume.

What is Lasso's Intent Security Framework?

The Intent Security Framework is Lasso’s behavioral baseline approach designed specifically for agentic AI. It analyzes the intent behind AI interactions — not just the content — to detect malicious behavior from both human users and autonomous agents. This is particularly important for securing agent-to-agent communication and MCP server interactions.

How does Lasso Security compare to WitnessAI?

Both platforms address shadow AI and GenAI security. Lasso Security emphasizes a five-pillar lifecycle approach with sub-50ms classification and 3,000+ red teaming attack types. WitnessAI focuses on infrastructure-level intent-based controls with single-tenant data sovereignty. Lasso was named a Gartner Cool Vendor in 2024; WitnessAI has raised $85M+ in total funding.

Does Lasso Security support agentic AI?

Yes. Lasso’s Intent Security Framework is specifically designed for agentic AI environments. It covers MCP security, monitors agent-to-tool interactions, and enforces behavioral specifications on AI workflows to prevent autonomous agents from taking unauthorized actions.