2026 WINNER · CYBERSECURITY STARS AWARDS
Lasso Security · AI Security Platform for Agentic AI
Most comprehensive Agentic AI Security Platform
Overview
Lasso is the AI Security Platform built for the agentic era, assisting organizations in their transition from generative AI usage to building and deploying agentic AI secured by design. The platform covers the full agentic AI lifecycle from build time to runtime across web applications, AI APIs, cloud-native AI workloads, on-premises deployments, and cloud and third-party agents including AWS Bedrock, Google Vertex AI, Microsoft Copilot Studio, Salesforce Agentforce, and many more, in addition to AI agents used by the organization including coding agents, copilots, and agentic frameworks.
Key Capabilities
Lasso brings together five integrated capabilities:
Discovery and Inventory surfaces every AI agent and application regardless of where it was built, where it runs, or who uses it, generating an AI-BOM through network visibility and integrations with CI/CD pipelines, cloud providers, agent builder platforms.
AI Security Posture Management (AI-SPM) maps each application's connected agents, LLMs, databases, and APIs into a visual graph and runs static analysis against NIST, OWASP, and MITRE.
Automated AI Red Teaming covers the complete kill chain from recon to exploitation across 3 attack modes: single-turn attacks from a 300K+ payload library with 100% OWASP Top 10 and MITRE coverage, dynamic multi-turn attacks through offensive agents, and high-agency tailored attacks, all closing the offensive-defensive loop and reducing MTTR by 95%.
Runtime Protection enforces inline guardrails at the proxy, API, or AI Gateway layer with out-of-the-box and custom policies, blocking threats under 50ms at 570x the speed of legacy solutions.
AI Detection and Response identifies anomalous agent behavior at runtime with 98.6% accuracy and a 1.4% false positive rate, with immediate alerts and full threat context.
The Lasso platform is powered by our Intent Security Engine, the intelligence layer governing agentic behavior across the full execution lifecycle rather than only at the prompt and response layer, building a behavioral baseline from full interaction history and measuring deviation from it.
How we are different
Lasso is different in three core ways: we secure AI based on behavior and intent and not just data like most cybersecurity companies, we cover the full AI lifecycle, and we automate security in a way others don't.
Most AI security tools still look at inputs, outputs, or network traffic. Lasso goes deeper by analyzing what an AI agent is actually trying to do across an entire execution chain. That means we detect intent misalignment and behavioral drift, not just leaked data or unsafe prompts. This is a fundamentally different security model than traditional "content filtering" approaches.
Second, competitors typically focus on one layer, either usage monitoring, model protection, or application security. Lasso covers all three: employee AI usage, agent security, and production AI application protection in one unified platform.
Third, we don't just detect issues, we automatically test and fix them. Our autonomous purple teaming continuously attacks AI systems in CI/CD and cloud environments and turns findings into enforceable guardrails without manual work.
Finally, we integrate natively into existing AI stacks (APIs, gateways, SDKs, cloud tools), so security becomes part of the AI pipeline, not a separate layer that slows teams down.
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