Behavioral Anomaly Detection Via Transaction Pattern Analysis

via “behavioral drift detection for agent tool usage patterns”

Pre-execution governance for AI agents. Intercepts MCP tool calls before execution with deterministic blocking, human-in-the-loop holds, and behavioral drift detection.

Unique: Uses statistical pattern analysis of tool call sequences rather than rule-based detection, enabling detection of novel attack patterns and behavioral changes without explicit rule definition, making it adaptive to agent-specific baselines

vs others: Detects novel behavioral patterns that rule-based systems would miss, and requires no manual rule maintenance — baselines are learned automatically from historical data