Lasso AI Security Platform vs Relyance AI
Lasso AI Security Platform
lasso.security
Relyance AI
relyance.aiSide by side
| Figure | Lasso AI Security Platform | Relyance AI |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 0 |
| Spec score · AI Security Posture Management (AI-SPM) Tools Software | 7.8 (#2) | 7.6 (#3) |
| Compliance | Lasso maps controls and audit trails to NIST AI RMF, OWASP, EU AI Act, ISO 42001, SOC 2 Type 2, GDPR, HIPAA, and other frameworks. | The Trust Center lists SOC 2 Type 2 and Data Privacy Framework, and says a SOC 2 Type 2 report is available by request. |
| Deployment | AI usage controls can be deployed through a browser extension, proxy integrations, and data integrations. | The company describes full SaaS, InHost deployment within the customer’s VPC, and DirectConnect private link. |
| Headquarters | Tel Aviv, Israel and New York, United States | San Mateo, California, United States |
| Purpose | Lasso is an AI security platform providing observability, governance, and real-time defense across AI models, agents, and applications. | Relyance AI says its Lyo platform secures and governs AI features by tracing data journeys from code to cloud to AI models. |
| Support | Lasso offers expert guidance, tailored solutions, and support through its contact team and demo process. | The demo page says a security architect will contact demo requesters within one business day to schedule a session. |
In their own words
Lasso AI Security Platform
Lasso AI Security Platform provides observability, governance and runtime defense for enterprise AI environments. It inventories AI applications, agents, tools, MCP servers and connected resources, then maps relationships among agents, databases and APIs to identify misconfigurations and policy gaps. Automated red teaming tests applications in static, dynamic and high-agency modes. At the gateway, Lasso inspects prompts, responses, tool calls, MCP communications and sub-agent traffic; policies can block, mask or alert on violations with enforcement under 50 milliseconds. Shadow AI monitoring covers more than 8,000 tools, including chatbots, coding assistants and MCP servers. Supported agents include Vertex AI, Microsoft Copilot, AWS Bedrock, Salesforce Agentforce and custom platforms. Activity and audit trails map to listed security and regulatory frameworks. Deployment can use browser extensions, proxy integrations and data integrations in a hybrid model. Pricing is available on request.
Relyance AI
Relyance AI’s Lyo platform traces data journeys from code through cloud environments to AI models, with tools for data security, privacy operations, and AI governance. It inventories AI agents, models, RAG, and MCP, shows their permission reach, and can block over-scoped agents in CI/CD. The data security layer classifies sensitive information, monitors it in motion, and describes adaptive DLP enforcement at gateways. Privacy workflows use live data flows to automate data maps, records of processing activities, consent, assessments, and data subject requests. Its Data Exposure Graph connects data sensitivity, identity permissions, and agent behavior to surface connected threats. The company describes agentless coverage across code, cloud, data warehouses, identity providers, AI platforms, SaaS, and observability, naming integrations including GitHub, AWS, Snowflake, Okta, OpenAI, Salesforce, and Datadog. Deployment options are full SaaS, InHost within a customer’s VPC, and DirectConnect private link. Runtime actions such as masking or blocking requests are marked private beta. Pricing is on request; a trial is offered subject to eligibility criteria.