Lasso Security

Categories: Cybersecurity, Automation / Agents | Pricing: Enterprise | Official Website ↗

Lasso Security provides an AI Security Platform that controls AI tool usage, governs AI agent development, and protects AI applications at enterprise scale.

Lasso Security provides comprehensive security across all AI users, models, agents, and applications from build time to runtime, offering a unified view of an enterprise's AI security posture. The platform addresses the challenges of rapid AI evolution, including decentralized AI tool usage (Shadow AI), the unpredictable nature of AI, fractured AI supply chains, and rising AI-specific threats. It enables enterprises to test AI systems before deployment through AI Red Teaming, govern the development of AI agents, and protect AI applications in production. Lasso Security's approach focuses on analyzing the intent behind AI actions rather than relying on fixed patterns, which is crucial for securing non-deterministic AI systems. The platform helps organizations discover their AI ecosystem, assess their AI posture, test AI resilience, enforce AI governance, and protect their AI assets.

Key Features

AI Red Teaming
AI Agents Security
AI Application Protection
Comprehensive security across AI users, models, agents, and applications
Discover AI Ecosystem
Assess AI Posture
Test AI Resilience
Enforce AI Governance
Protect AI Assets

Pros

Addresses Shadow AI by providing visibility into AI tools and agents used by employees
Analyzes intent behind AI agent actions to prevent risks from non-deterministic AI
Mitigates risks from vulnerable foundational models and frequent provider updates
Detects and prevents AI threats that manipulate model behavior and bypass agent guardrails
Built for enterprise speed, scale, precision, and cost efficiency

Cons

No pricing information publicly available
Requires booking a demo to understand the product fully
No explicit mention of integrations with other security tools
No information on specific platforms supported (e.g., cloud providers, operating systems)

Use Cases

Securing enterprise AI adoption
Controlling employee use of AI tools
Governing the development of AI agents
Protecting AI applications from threats
Assessing AI system vulnerabilities
Enforcing AI security policies
Detecting and responding to AI-specific attacks
Managing risks from third-party AI models

Best For

Enterprises adopting AI at scale
Security teams needing visibility and control over AI usage
Organizations developing and deploying AI agents and applications
Companies concerned about AI supply chain vulnerabilities
Businesses facing AI-specific cyber threats

Platforms: web

Watch demo on YouTube ↗

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