Secure all AI Traffic with Lasso’s AI Gateway Security
Lasso integrates with any AI gateway to add a unified security layer across all AI traffic, whether it be user to agent, agent to agent, LLM calls, MCP connections, and tool invocations.
Built to Work Together: AI Governance Across the Full Execution Trace
Monitor All AI Traffic from the Gateway
Every prompt, tool call, sub-agent invocation, and model response flows through Lasso's security layer. Full visibility across the execution trace, not just the first prompt and the last response.
Enforce Policies Inline
Block, mask, or alert on violations before they complete. Role-based access controls, data classification enforcement, and DLP policies applied at the gateway layer with under 50ms latency. No manual intervention required.
Detect and Respond to All AI Threats
Inspect every request inline before it reaches the model and every response before it returns. When a violation is detected, Lasso responds by masking sensitive data in transit, blocking a malicious request before it completes, or triggering an alert with the full execution context attached.
The Lasso AI Security Platform
Built from the ground up in the AI era, Lasso’s AI Security Platform empowers Healthcare Sector Agencies to unlock the full potential of LLMs and AI agents safely, responsibly, and confidently.
Why Teams Run Lasso AlongsideTheir AI Gateway
Works with Any Gateway
Lasso integrates with Kong, Envoy AI Gateway, TrueFoundry, Portkey, LiteLLM, and others. The integration requires no source code changes and the configuration sits on the gateway later only. Whether your organization routes traffic through one model provider or dozens, the same policies apply across the entire AI ecosystem.
One Security Layer Across All AI Traffic
In production agentic environments, AI traffic moves across multiple agents simultaneously. A user request reaches an LLM, which calls tools, spawns sub-agents, reads from memory, and queries external APIs before returning a result. Lasso sits as the trusted security layer across all of it: user-to-agent, agent-to-agent, LLM, MCP, and tool traffic in a single unified view.
Complete Audit Trails and Compliance Mapping
Every interaction is captured with full execution context: the request, the system prompt in effect, each tool call and its parameters, the model response, the policies evaluated, and the action taken. Continuous mapping to NIST AI RMF, OWASP Top 10 for Agentic Applications, EU AI Act, ISO 42001, SOC 2, GDPR, and HIPAA. Exportable audit trails are updated on every interaction, not generated on demand when an audit request arrives.
Beyond Runtime:
Full AI Lifecycle Coverage
Runtime protection of AI gateway traffic is one stage of the Lasso platform. Lasso covers the full AI lifecycle, from discovery and posture management to automated AI red teaming and runtime protection.
Core Components of Agentic AI Security
AI Traffic Monitoring and Visibility
Lasso operates as the security layer for your AI gateway, inspecting every interaction across the full execution trace, including prompts and responses, tool call parameters and return values, MCP server communications, sub-agent invocations, and agent-to-agent traffic. Every interaction is visible, logged, and evaluated against policy in real time. Works across Kong, Envoy, TrueFoundry, Portkey, LiteLLM, and more, with no changes to gateway configuration required.
Inline Policy Enforcement
Three enforcement modes available for any detected violation: block the interaction before it reaches the model or before a response is returned, mask sensitive data in transit, or allow and alert where interruption would affect a critical workflow. Data Loss Prevention policies enforce role-based data classifications at the gateway layer. All enforcement executes in under 50ms, with no manual intervention required.
LLMs Governance and Access Control
Lasso governs how LLMs are consumed by developers building applications and by agents operating autonomously. That means controlling what data flows into and out of a model, enforcing which model or tools an agent is permitted to use, blocking sensitive data before it leaves the environment, and flagging prompt injection attempts. Every interaction is logged with the context security teams actually need: what was sent, what was returned, which policies applied, and what action was taken, with continuous mapping to vulnerability frameworks, industry regulations, certifications, and more ( NIST AI RMF, OWASP Top 10 for Agentic Applications, EU AI Act, ISO 42001, SOC 2, and GDPR)
Threat Detection and Response
Lasso's Intent Security framework builds a behavioral baseline for every agent and application, then measures deviation from that baseline across the full execution trace. Two signals run in parallel: in-chain intent misalignment, which evaluates whether the user request, system prompt, agent reasoning, and tool actions are internally consistent within a single execution flow; and behavioral intent anomaly, which identifies when an agent's actions deviate from established historical patterns even when the chain looks internally valid. Coverage spans the full OWASP Top 10 for LLMs and Agentic Applications and MITRE ATLAS taxonomy.
Full AI Lifecycle Coverage
Lasso covers the full lifecycle: discovery of every AI application, agent, and model in the environment; AI-SPM assessment of misconfigurations and policy gaps with visual graph mapping of connected agents, databases, and APIs; Automated AI Red Teaming across static, dynamic, and high-agency attack modes; and Runtime Protection enforced inline at the gateway. Each stage feeds the next, so runtime policy reflects a current and complete picture of the AI estate.
FAQs
Which AI gateways does Lasso support?
What AI traffic does Lasso inspect?
What threats does Lasso detect?
How does inline policy enforcement work?
How does Lasso handle compliance and audit requirements?
Does Lasso only protect AI traffic at runtime?
Keep up with Lasso
.png)
.avif)
Solution Brief: Secure Every Agent and AI Application with Lasso
