AI Detection & Response

Stay ahead of AI threats by detecting, investigating, and responding to runtime risks across the full agent execution trace.

Agentic AI Introduces New Runtime Risks

In order to secure AI applications, security teams need context into how agents operate and behave at runtime.

Visibility into Agent Behavior

Strictly monitoring only prompts and responses results in a lack of visibility into what happens in between, including in RAG retrievals, memory reads, tool invocations, and sub-agent calls. Without full trace visibility across every step of the agent execution path, threats go undetected and root cause analysis becomes impossible.

Prevention of Unauthorized Actions

AI agents operate autonomously on behalf of users, executing tool calls, API requests, and system commands. Because malicious instructions can be introduced in the execution trace, preventing unauthorized actions requires inline enforcement that can stop a harmful action before it executes and limit what each agent is permitted to do.

Detecting Intent & Behavioral Anomalies

Scanning for prohibited keywords, patterns, or topics fails to recognize that identical content can be safe or malicious depending on the intent behind it. Effective threat detection requires monitoring for intent misalignment and abnormal behavioral profiles, flagging activity that deviates from what an agent or user is expected to do rather than relying on static content matching.

Runtime Protection with Lasso’s AI-DR

Observe every interaction, enforce security and enterprise policies at scale, and understand full agent intent to block AI threats before they cause damage.

RUNTIME MONITORINg

Monitor Every Agent Interaction and Decision

Lasso monitors every interaction across your AI stack, from tool calls and RAG retrievals to sub-agent communications. These interactions are mapped into an execution graph that gives security teams clear visibility into the full sequence of events. This complete record is the foundation for strong governance, auditing, and compliance.

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Inline Policy Enforcement

Enforce Guardrails with Zero Latency

Enforce predefined and custom security policies inline before agent actions execute. Lasso’s LLM as a judge operates at 570x the speed of standard LLM inference, so enforcement is contextual and intent-aware with no latency impact on the user experience.

Behavioral Anomaly Detection

Prevent Threats with Intent Security

Build a behavioral baseline for every AI user and agent in your environment. Deviations from that baseline, including novel attack techniques with no existing signature, are flagged in real time. This intent-based approach gives you protection against zero-day attacks that bypass rule-based and signature-driven controls with 98.6% accuracy.

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Threat Detection and Response

Terminate Attacks Across the Kill Chain

Detect and respond to threats defined by OWASP Top 10 and MITRE ATLAS, correlating both the technique of the attack and the intent behind it across the entire kill chain. Security teams can investigate findings in context, with the full interaction record available for triage and response.

Fits Into Your Existing Stack

Deploy via API, Firewall, or AI Gateway Integration

Integrates a lightweight layer alongside your existing stack with no architectural changes required. View alerts and audit logs directly in Lasso, or stream findings into your SIEM to investigate agent incidents alongside the rest of your security telemetry.

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The Lasso Advantage

Built for the agentic era.

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CI-Native

Security keeps pace with engineering.

<50ms

Mean time to block/respond  (MTTR)

<5ms

To analyze sessions

98.6%

Threat detection accuracy rate

<200ms

Mean time to detect (MTTD)

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Zero Deployment

No agents. No code changes. No source code access. Run from the Lasso tenant and start in hours, not weeks.

Explore the Lasso Platform

Securing autonomous AI agents, LLM applications, and agentic workflows from build-time through runtime.

Platform Overview

Discovery & AI-BOM

Discover and map every agent in your ecosystem by integrating with your CI/CD pipelines, cloud providers, and third-party agent builders.

AI Security Posture Management

Enable security by design agents by mitigating supply chain risks and agent misconfigurations and creating out-of-the-box or custom hardening policies.

Automated AI Red Teaming

Stress-test application logic through static, multi-turn, and high-agency attack to uncover vulnerabilities and build adaptive guardrails.

AI Detection & Response

Monitor every agent and application at runtime to automatically detect and respond to AI threats and policy violations.

FAQs

Does Lasso monitor every AI interaction and decision?

How does Lasso stop a threat without disrupting legitimate agent activity?

What happens when Lasso detects a threat?

How does Lasso protect against threats we have not seen before?

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Keep up with Lasso

A Standardization Guide to Prompt Injection: Text-Based Techniques vs Intent
Blog

A Standardization Guide to Prompt Injection: Text-Based Techniques vs Intent

AI Runtime Security is the Security Layer AI Can’t Outgrow
Blog

AI Runtime Security is the Security Layer AI Can’t Outgrow

Securing Agentic AI: The Intent Security Framework
White Papers

Securing Agentic AI: The Intent Security Framework

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AI Detection and Response

Monitor every agent action and decision at runtime.
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