The Agentic Action Graph shows every agentic action path — from agents to tools, data, and runtime — so you can see what happened and where to enforce.
The BlueRock Agentic Action Graph turns agentic workflows into a live execution map you can explore, baseline, and use to power precise guardrails.
Why Execution Visibility Matters
Models generate text — but your real risks come from what they execute.
The Action Graph reveals the complete flow of agent actions so you can understand:
What tools agents call
What data they access
What processes they attempt to launch
Where drift, escalation, or anomalies appear
How a prompt-injection attempt manifests as execution paths
Visibility is the on-ramp. Guardrails are the destination.
The Action Graph gives you the clarity you need before turning on pre-execution enforcement.
What the Action Graph Shows
Tool Execution Path
(agent→tool)
Visualize every tool invocation with:
function name
parameters (sanitized preview)
drift vs baseline
high-frequency hotspots
dependency chains
Detect:
Unsafe parameter expansion
Tool hijack attempts
Covert or excessive tool usage
Data Access Path
(agent→data)
See read/write operations and data-access patterns:
dataset / table / collection identity
field-level hints
egress rate & total size
pattern-level exfil attempts
recency & anomaly scoring
Detect:
Mass data export
PII access
silent credential / secret disclosure
Process Execution Path
(agent→execution)
Track attempts to spawn processes or perform filesystem/network operations:
process launches
file writes / deletions
outbound network connections
shell patterns / codegen payloads
reverse-shell signatures
runtime drift (unexpected binaries)
Detect:
RCE patterns
Command injection
Path traversal
SSRF
Reverse shells
No application code changes. Baked into the node image.
BlueRock Agentic Action Graph FAQ
Q: What is the Agentic Action Graph?
A: The Agentic Action Graph is a live view of every agentic path across agent→tool, agent→data, and agent→runtime. It shows which agents are calling which MCP servers, tools, and back-end resources, along with top activity, changes, and hotspots. It’s the visibility layer that makes it safe to turn on guardrails later.
Q: How is this different from traditional logs or APM traces?
A: Traditional logs and APM look at services and endpoints. The Action Graph is built specifically for agentic systems, so it understands MCP servers, tools, and AI-driven paths. Instead of piecing together scattered logs, you get a topology that tells you: “this agent, via this MCP server, hit these tools and these data resources, with this blast radius.”
Q: Do I need the Action Graph if I’m only using a few agents today?
A: Yes, early visibility is how you avoid “shadow MCP” and unknown agent behaviors as usage grows. Even with a small number of agents, teams quickly lose track of which tools they call, which datasets are in scope, and where risky actions are accumulating. The Action Graph gives you that map from day one so you can scale safely instead of playing catch-up later.
Q: How does the Action Graph connect to enforcement?
A: You start by observing real traffic and identifying safe baselines. From there, you can turn specific insights into policies: allow-lists for tools, table-level data scopes, outbound host restrictions, or caps on high-risk actions. The same telemetry that powers the graph feeds into pre-execution guardrails on the /security side.
Q: What integrations are available?
A: The Action Graph exports events and findings into your existing workflows — ticketing, SIEM/observability, and reporting. That way, security teams can triage agentic risks where they already work, while engineering gets a clear view of how agent workflows behave in runtime.
