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Lasso Security is a B2B AI security platform providing visibility, control, and real-time protection across AI models, agents, and apps. It delivers automated red teaming, runtime guardrails, and governance aligned with OWASP, NIST, and the EU AI Act.
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Short answers to the questions buyers and builders commonly ask about Lasso Security. Each answer cites the shared ledger below, where every source is listed once.
AI Security Platform providing visibility, control, and protection across AI models, agent · Reduces GenAI risk in real time · Governance across the full AI lifecycle (Discover, Assess, Protect) · Detections across content, context, and intent using proprietary AI
Lasso's AI Security Platform gives enterprises visibility, control, and protection across AI models, agents, and apps.
Enterprises (security teams and AI builders)
Lasso is purpose-built for enterprises with speed, scale, precision, and cost efficiency at the core of our AI Security Platform.
Securing AI agents and applications at enterprise scale · Protection for every AI agent built and deployed, wherever it runs · Enterprise MCP (Model Context Protocol) security for Claude, Cursor, Windsurf, and custom · Securing organizations as they move from using AI tools to building and deploying AI agent
Secure AI Agents at Enterprise Scale
Google Chrome and Microsoft Edge browsers · Direct integration with CI/CD pipelines so red-teaming simulations run automatically on ev · Connects to CI/CD pipelines, cloud platforms, and third-party agent builder tools includin · Integrates with CI/CD pipelines, cloud providers, and third-party/low-code agent builders
via Google Chrome, Microsoft Edge, etc.
Zero-deployment model: runs from the Lasso tenant with no agents, no code changes, and no · Runtime policy enforcement at the proxy, API, or AI Gateway layer with zero-latency monito · Gateway, API, or SDK deployment implemented with a single line of code, with pre-built pol · Can deploy in customer-managed VPC, cloud, regulated environments, or air-gapped networks;
Zero Deployment No agents. No code changes. No source code access. Run from the Lasso tenant and start in hours, not weeks.
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Secure AI Adoption at Enterprise Scale | Lasso
AI Security Platform providing visibility, control, and protection across AI models, agent · Reduces GenAI risk in real time · Governance across the full AI lifecycle (Discover, Assess, Protect)
AI Security Platform providing visibility, control, and protection across AI models, agents, and apps
Reduces GenAI risk in real time
Governance across the full AI lifecycle (Discover, Assess, Protect)
Detections across content, context, and intent using proprietary AI
Securing AI agents and applications at enterprise scale
Protection for every AI agent built and deployed, wherever it runs
Enterprises (security teams and AI builders)
SecurityApplication
Web
Google Chrome and Microsoft Edge browsers
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
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Lasso was named a sample vendor under AI Governance Technologies in Gartner's Hype Cycle for Artificial Intelligence, 2026, listed alongside Boomi, Databricks, Google, IBM, Microsoft, OneTrust, ServiceNow, and Zenity.
View source [21]Lasso was included in Gartner's Market Overview for AI Usage Control published August 20, 2026, alongside Microsoft, Cisco, Zscaler, Palo Alto Networks, and Check Point.
View source [22]Lasso was named a winner of the 2026 Cybersecurity Stars Awards by The Hacker News in the Most Comprehensive Agentic AI Security Platform category.
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Lasso Security
B2B company
Automated AI red teaming with continuous testing of AI agents against adversarial attack simulations across the SDLC
Adversarial testing library with 300K+ attack payloads, 500+ new variants weekly, and 50+ evasion techniques covering 100% OWASP LLM & Agentic Top 10
Zero-deployment model: runs from the Lasso tenant with no agents, no code changes, and no source code access required
Direct integration with CI/CD pipelines so red-teaming simulations run automatically on every application update
Web-based SecurityApplication
Connects to CI/CD pipelines, cloud platforms, and third-party agent builder tools including Vertex AI, Bedrock, and Salesforce
Runtime policy enforcement at the proxy, API, or AI Gateway layer with zero-latency monitoring
Enterprise MCP (Model Context Protocol) security for Claude, Cursor, Windsurf, and custom AI agents
Model Context Protocol (MCP) - protection of connections between AI agents and external tools
Compliance alignment with NIST AI RMF, SOC 2 Type 2, ISO 27001, ISO 42001, EU AI Act, HIPAA, PCI-DSS, and FedRAMP
Lasso Security
SecurityApplication delivered as a web platform
Gateway, API, or SDK deployment implemented with a single line of code, with pre-built policies for immediate protection
Lasso Security on LinkedIn (https://www.linkedin.com/company/lasso-security/) and Twitter (https://twitter.com/lassosecurity)
Lasso Security is an AI security platform providing observability, governance, and real-time defense across the entire AI ecosystem, securing the AI models enterprises use, the agents they build, and the applications they ship.
2023
Tel Aviv and New York
$30 million funding round led by ClearSky, with participation from Entrée Capital, iAngels, Singtel Innov8, Mindset, and Swish Data
SOC 2 Type II certified (Security criteria)
AI Application Security covering content moderation, data protection, prompt injection and jailbreak enforcement, automated red teaming, and inline runtime guardrails with 99.8% threat detection accuracy
AI Security Posture Management (AI-SPM) providing discovery, visualization, and risk assessment of AI agents against OWASP, MITRE, NIST, and the EU AI Act
LEAP CPU-based AI guardrail and RAPID self-hosted LLM-as-a-judge engine, both patent pending, with LEAP running on ordinary CPUs at under 5 milliseconds per decision and 1,444 docs/sec
Can deploy in customer-managed VPC, cloud, regulated environments, or air-gapped networks; LEAP can run inside customer infrastructure so inspected content never leaves the security boundary
Integrates with CI/CD pipelines, cloud providers, and third-party/low-code agent builders for discovery and inventory
Sheriff is a prompt-injection detection model built on the LEAP architecture, running on CPU with ~1ms latency, 1,444 docs/sec throughput, and F1 score of 0.77 on a benchmark of 11,887 prompts