Unosecur Cards Reload

Amazon Bedrock

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.

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See it in action

Close the security gaps behind Bedrock agents.

The agent visible in AWS is only the starting point. Ownership, guardrails, inherited privilege, connected data, and activity determine the risks security teams must contain.

Discover AI agents outside security review

Find known and unknown AI agents across accounts and Regions. Track ownership, guardrails, status, and lifecycle changes.

Prioritise access that widens the blast radius

Trace agent roles, trust policies, credentials, action groups, and knowledge bases. 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.

Turn Bedrock visibility into security control.

Connect a single AWS account to discover, prioritise and reduce agent risk. No workloads go offline, and development keeps moving.

VISIBILITY

Find every AI agent

Inventory agents, owners, guardrails, tools, and data sources across accounts and Regions.

RISK

Prioritise dangerous exposure

Rank excessive privilege, escalation paths, credentials, and behaviour by the systems and data at risk.

CONTROL

Reduce standing privilege

Right-size policies, enforce just enough privilege, and route remediation to the owner.

AI agent exposures living in your AWS accounts today.

Standard cloud security tools scan static infrastructure. They completely miss the application layer context of generative AI.

Orphaned AI access

The owner leaves, but the agent's service role and permissions can remain active. Human offboarding does not automatically retire the agent's access.

Unmonitored agent sprawl

Bedrock agents are regional resources. Agents can spread across accounts and Regions, making active and privileged deployments easy to miss.

Hidden tool permissions

Action groups can invoke Lambda functions and APIs through the agent's configured permissions. Reviewing the agent alone can miss the downstream access those actions inherit.

Unbounded knowledge access

A knowledge base can expose more content than the agent's intended task requires. The effective boundary depends on the data source, retrieval configuration, and permissions behind it.

Broken user-to-agent attribution

Agent actions execute through service identities, which can separate the downstream action from the human who initiated it. Investigation requires linking user, session, agent, and role activity.

Missing invocation evidence

Bedrock model invocation logging is disabled by default and configured per Region. Without it, investigations can lack request and response context for supported model calls.

Integrations