Google Vertex AI
Integration

Your company deploys AI agents faster than it can secure them.

Unosecur brings them into one control plane to trace access, detect drift, and remove standing privileges.
Discover AI agents outside security review
Find known and unknown AI agents across Google Cloud projects and locations. Track ownership, agent identity, service accounts, status, and lifecycle changes.
Prioritise access that widens the blast radius
Trace agent identities, service accounts, IAM roles, tools, and connected resources. Rank each path by the systems and data it exposes.
Reduce standing privilege before it is exploited
Detect permission drift and behavior outside the approved baseline, then enforce least privilege before the risk spreads.
Discover AI agents outside security review
Find known and unknown AI agents across Google Cloud projects and locations. Track ownership, agent identity, service accounts, status, and lifecycle changes.
Prioritize access that widens the blast radius
Trace agent identities, service accounts, IAM roles, tools, and connected resources. Rank each path by the systems and data it exposes.
Reduce standing privilege before it is exploited
Detect permission drift and behavior outside the approved baseline, then enforce least privilege before the risk spreads.

Close the security gaps behind Vertex AI agents.

The agent visible in Vertex AI is only the starting point. Agent identity, service accounts, IAM roles, tools, memory, connected data, and activity determine the risks security teams must contain.

AI agent exposures living in your Google Cloud projects today.

Cloud security controls can show infrastructure and IAM. They do not by themselves explain the full agent context behind ownership, tools, data access, and runtime behavior.
Inherited default access
Agents and notebooks run on the default service account. That account usually holds Editor on the whole project, so the agent gets write access to everything.
Borrowed identities
One service account can mint tokens for another. An agent with modest permissions reaches far greater authority, and no single IAM policy shows the path.
Keys that never expire
Service account key files get pasted into agent code and shared between environments. They do not expire, they do not rotate, and offboarding does not revoke them.
Wide-open grounding
Grounding data stores sit on BigQuery tables and storage buckets with no row-level filter. Every caller gets the exact same unrestricted view of the data.
Audit logging off by default
Data access logging for Vertex AI is off unless somebody turns it on. Model calls and retrievals leave no record for your investigators to follow.
Agents in projects you do not watch
Teams create their own projects, folders, and regions. There is no organization-wide list of which agents exist or what each one can reach.
Integrations

One fabric across every AI platform below

Unosecur bridges cloud providers, identity platforms, and SaaS applications to bring agent behavior and authority into one strategic view.

Deploy AI agents fast. Secure them faster.

Discover every agent. Prioritize riskiest access. Reduce standing privileges.
Explore AI Agent Security