ThinkByte Labs · Active development
AgentPath

See the full path to sensitive access.

AI agents do not act alone. AgentPath maps the authorization chain across people, agents, tools, service identities, cloud roles, and resources—revealing how access actually becomes possible.

AWSMICROSOFT ENTRAGOOGLE CLOUD
agentpath / graph explorerAP-1042
FINDINGPrivilege path detected
RISK94/100
01 · PERSONCloud analystEntra user
delegates→
02 · AI AGENTOps copilotRuntime identity
invokes tool with shared credentials↓
04 · RESOURCECustomer recordsSensitive data
grants admin←
03 · CLOUD ROLEDataAdminAWS account
!

Why it matters The analyst's direct permissions look limited, but delegated agent and tool access completes an administrative path.

THE SECURITY GAP

Permission reviews see pieces.
Attackers—and AI agents—use paths.

Cloud access is distributed across identity providers, agent runtimes, tool credentials, trust policies, and resource permissions. A harmless-looking permission in one system can combine with another to create a high-impact route.

What AgentPath is designed to do

Turn fragmented permissions into an explainable security graph.

AgentPath focuses on effective access: not only what one identity can do directly, but what the complete chain can reach when delegation, tools, roles, and policies interact.

GRAPH / 01

Model the complete authorization chain

Connect users, AI agents, service identities, tools, roles, accounts, and resources in one navigable graph.

USER→AGENT→TOOL→ROLE→RESOURCE
CONTEXT / 02

Cross cloud and identity boundaries

Bring AWS, Microsoft Entra, and Google Cloud relationships into the same analysis.

ACCESS / 03

Calculate effective privilege

Evaluate combined authorization paths, including assumed roles, shared identities, and delegated access.

RISK / 04

Prioritize explainable risk

Score paths using privilege, resource sensitivity, action context, and confidence—then show the evidence behind the result.

DECISION / 05

Show what to investigate first

Give security teams a defensible path from a high-level finding to the identities, policies, and relationships that created it.

LOWMEDIUMHIGH · REVIEW
Analysis workflow

From cloud policy data to a prioritized path.

AgentPath is being built to make complex authorization relationships useful to the people who must review and reduce risk.

  1. 01

    Ingest

    Collect identity, role, policy, trust, tool, and resource relationships.

    INPUT
  2. 02

    Connect

    Build a multi-edge graph that preserves distinct authorization relationships.

    GRAPH
  3. 03

    Evaluate

    Traverse effective paths and calculate action-aware risk and confidence.

    ANALYZE
  4. 04

    Explain

    Present the path, evidence, and reason a finding deserves attention.

    RESULT
Built with security teams in mind

One shared view for teams responsible for identity, cloud, and AI risk.

CS

Cloud security

Investigate cross-account, cross-cloud, and role-based paths to sensitive resources.

IAM

Identity & access

Understand how human and non-human identities combine through delegation and trust.

AI

AI platform teams

Review the real authority granted to agents, tools, runtimes, and connected services.

Design partners

Help shape how AgentPath solves real authorization problems.

ThinkByte is speaking with security teams using AWS, Microsoft Entra, Google Cloud, and AI agents. Share how your environment handles agent permissions, service identities, and cross-system access.

Request an AgentPath pilot Review capabilities No customer relationship required. A technical feedback conversation is enough.