Lasso Intent Security is a behavioral baseline framework purpose-built for securing AI agents. It operates through a component called the "Intent Deputy," which performs real-time intent analysis in under 50ms with a claimed 99.83% threat detection accuracy rate. The platform sits between user intent and infrastructure, monitoring the full interaction execution path, analyzing the intent behind user requests and agent actions, validating that behavior aligns with established baselines, and then blocking or alerting based on configurable security thresholds. Unlike traditional DLP tools that rely on regex classifiers or keyword matching, Lasso's approach decodes the semantic meaning of interactions to determine whether content is safe or malicious based on context and intent. It uses an 8-dimensional coordinate system to generate human-readable compliance evidence for legal and risk teams. The platform addresses threats specific to agentic AI environments, including prompt injection, jailbreaks, rogue agent behavior, account takeovers, and intent corruption across multi-agent chains. It tracks how intent transforms as it passes between agents in complex pipelines, alerting when intent is corrupted or inverted. Identity-linked anomaly detection compares current semantic behavior against historical user and agent fingerprints to detect deviations indicative of compromise.