Agentic Sequence
Understand agent component sequences and workflow patterns in your agentic systems.
Overview
Agent component sequences are chains of component invocations that represent user or agent workflows. Identifying these sequences is critical for:
Detecting logic-based vulnerabilities in agentic workflows
Improving red teaming coverage
Understanding agent usage patterns and behavior
Identifying potential security risks in multi-step operations
Akto automatically detects component sequences based on traffic patterns and presents them with visual flow charts and associated statistics.
Component Sequence Statistics
The Component Sequences Overview section gives a snapshot of the identified sequences:
Total Sequences: Number of detected unique agent workflows
Total Transitions: Number of component invocations between steps
Avg Probability: Likelihood of these sequences occurring in real traffic (based on behavioral analysis)
Example metrics:
10 Total Sequences
196 Total Transitions
67.1% Avg Probability
How Sequences Are Formed
Akto analyzes live traffic to group agent components into sequences by:
Temporal Proximity: Component invocations made in close succession
Entity Linkage: Requests sharing identifiers (like
userId,sessionId,conversationId)Agent Flow Logic: Common patterns like
agent init → tool invocation → response generationData Dependencies: When output from one component becomes input to another
Each node in the sequence represents a component (e.g., agent/chat, mcp/filesystem/read), and edges indicate transitions and data flow.
Common Agent Sequence Patterns
User Interaction Flow
MCP Tool Chain
Multi-Agent Workflow
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