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.
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.


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.
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.

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.
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.

The Lasso Advantage
Built for the agentic era.

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)

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 OverviewDiscovery & 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?
Though Lasso's API, AI Firewall, or AI Gateway Integration, Lasso is able to capture the full agent execution trace, monitoring every interaction between your applications, LLMs, tools, and agents. This includes not just user inputs and model responses but every tool call, memory read, RAG retrieval, and sub-agent communication in between. Each interaction is recorded with full context so security teams have a complete picture of every decision an agent made, why it made it, and what it did as a result.
How does Lasso stop a threat without disrupting legitimate agent activity?
Lasso enforces policy inline using an LLM as a judge running 570x faster than standard LLM inference, so enforcement decisions are made in real time with no meaningful latency impact. Policies are evaluated against the full context of the interaction, not just keywords or patterns, which significantly reduces false positives and avoids blocking legitimate agent behavior.
What happens when Lasso detects a threat?
Lasso can block or quarantine an action before it executes, alert security teams with full trace context for investigation, and feed findings into your existing SIEM and observability workflows. Security leaders get both the real-time response and the audit trail needed for post-incident review and compliance reporting.
How does Lasso protect against threats we have not seen before?
In addition to coverage across OWASP Top 10 for LLM Applications and MITRE ATLAS, Lasso builds a behavioral baseline for every AI agent and user in your environment. Deviations from that baseline, including novel attack techniques with no existing signature, are flagged in real time, giving you protection against zero-day threats that bypass rule-based and pattern-matching controls.
Keep up with Lasso

Securing Agentic AI: The Intent Security Framework






