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Lasso Security

Lasso Security protects AI agents and applications with discovery, risk assessment, automated red teaming, security posture management, runtime protection, and AI threat detection.

At a Glance

Pricing Paid

Lasso Security is a cybersecurity platform purpose-built for securing large language models (LLMs) and generative AI applications. It protects the AI lifecycle from risk management to automated red teaming and runtime threat detection. 

The platform operates at the semantic and reasoning layer of AI applications to help protect organizations from data exposure, prompt attacks, and emerging AI vulnerabilities.

How Lasso Security Works

  • Integration: Lasso integrates into enterprise workflows through browser plugins for employee usage tracking or CI and API connections for in-house applications.
  • Intent Analysis: User prompts and model responses pass through Lasso's security layers, where the platform analyzes patterns and user intent for potential threats.
  • Threat Protection: Lasso detects prompt injections and jailbreaks, masks or tokenizes sensitive data, and validates access controls for RAG systems.
  • Response Monitoring: Security-trained machine learning layers analyze interactions with sub-50ms latency to stop anomalies before malicious actions or data leaks occur.

How We Rated Lasso Security

We evaluated Lasso Security based on AI discovery, threat detection, DLP, automated red teaming, agent governance, RAG protection, runtime security, and compliance capabilities. Its intent-based detection and low-latency architecture were also considered.

Pros

  • Highly accurate intent-based threat detection
  • Negligible sub-50ms latency
  • Full lifecycle AI security coverage
  • Automated red teaming and runtime protection

Cons

  • No free tier
  • Requires an existing AI gateway
  • Complex enterprise procurement

Lasso Security is best suited for:

  • Mid-to-large enterprises
  • Healthcare organizations
  • Financial services organizations
  • Public sector organizations
  • Enterprises deploying custom GenAI applications

You should choose Lasso Security if you want to:

  • Discover and catalog AI assets and Shadow AI
  • Detect prompt injections and jailbreak attempts
  • Protect sensitive data with adaptive DLP
  • Continuously red-team AI applications and agents
  • Secure autonomous agents and RAG systems
  • Map AI security controls to compliance frameworks

Lasso Security's Key Features

Always-On AI Discovery & AI-BOM

Intent-Based Threat Detection

Context-Based Access Control (CBAC) & DLP

Automated Red Teaming

Autonomous Agent Governance & RAG Protection

Compliance Framework Mapping

Pricing

Free Trial

Free

Disclaimer: for the latest and most accurate pricing, please visit the official Lasso Security website.

Frequently Asked Questions

What is Lasso Security used for?
Lasso Security is used to protect AI applications, LLMs, and autonomous agents from security threats. It provides discovery, risk management, red teaming, and runtime protection.
How does Lasso Security discover AI agents and applications?
Lasso continuously discovers and catalogs internal, third-party, homegrown, and browser-based AI assets. It also maps these assets into an AI Bill of Materials (AI-BOM).
What is Lasso AI Security Posture Management?
Lasso AI Security Posture Management helps organizations identify and manage security risks across their AI applications and agents, including configuration and access-related risks.
Can Lasso Security perform automated AI red teaming?
Yes. Lasso uses thousands of attack variants to continuously test AI applications and autonomous agents for vulnerabilities before and after deployment.
How does Lasso Security protect AI agents at runtime?
Lasso monitors agent interactions and intent at runtime to detect malicious behavior, prompt attacks, and unauthorized actions. It can also enforce access controls and protect sensitive data.
Can Lasso Security detect and respond to AI threats?
Yes. Lasso detects threats such as prompt injections, jailbreaks, data leaks, and malicious AI behavior. Its security controls can block, mask, tokenize, or alert on detected risks.

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