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40% of your agents are a critical risk. Read the CISO Playbook for Securing AI Agents

Announcing our Series D to fuel agentic productivity, securely

Continuous governance for your Amazon Bedrock agents

Ensure every Bedrock agent has the right security controls in place without slowing down your users.

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Why your teams are using AWS Bedrock

Unlike prebuilt AI assistants, Bedrock lets users quickly build and deploy agents with custom AI models designed for the task at hand.

Automate complex workflows

Orchestrate multi‑step tasks like ticket triage, infra changes, CRM updates, and HR workflows.

Accelerate delivery

Use agents to write and review code, streamline processes, and improve customer experience.

Empower the workforce

Let non‑developers build workflows and agents without waiting on central engineering.

How do you know your Bedrock agents aren’t misbehaving?

Amazon Bedrock lets teams deploy agents that invoke AWS services and act on behalf of users, but without the right visibility or controls, risky permissions and data access can become security incidents.

Sensitive data access

An over‑permissioned HR or finance agent can query classified internal knowledge across your enterprise applications.

Code destruction risks

Bedrock-connected agents can change or delete source code, pipelines, or IaC in GitHub/Cloud Build, turning one misconfiguration into rapid, production-impacting damage.

Data leaks at machine speeds

Business teams can expose CRM or ticket data as agents autonomously generate and share content externally.

Fragmented agent monitoring

Similar agent use cases can run in Vertex, Copilot, and Bedrock; without unified governance, fragmented policies and logs hide risky cross‑platform behavior.

AWS security controls miss most risky agents

Amazon surfaces your agents but can’t show you every risk, leaving security teams blind to unauthorized tool calls, excessive permissions, and unsanctioned cross-service actions.

Secure your agents

Siloed visibility across tenants

No single view of which agents, MCP servers, and models are running across your tenants.

No single control plane

Native logs weren't built to capture risky tool calls and cross-service actions, especially from agents running outside Bedrock on platforms like Claude.

Over-permissioned agents

Agent permissions are scattered across every app they touch. Without a unified view, you can't know your true exposure until something goes wrong.

Privilege escalation

Agents act on behalf of users but aren't always bound by the same limits. Without a full identity graph, you won't know when an agent quietly exceeds the access its user was granted.

Fix risky Bedrock agents before they run

Map, monitor, and manage your agents with a single governance layer.

Inventory every Bedrock agent

Maintain a continuous system of record for every Bedrock agent, including the applications they connect to and the privileges they hold.
Shadow AI and auditability: Find unsanctioned agents including their connections and executions.
Consolidate every agent: Map agents and their risks no matter the platform they are built on.

Real-time risk assessments for your agents

Use automated AI risk assessments to review your agents and surface high-risk factors such as supervisor agents that can leak data.
Secure new agents by default: Automatically assess new and updated agents for risky scopes and unsafe tool chains.
Prioritize your security: Sort risks by criticality to consistently govern agents across every AI platform your teams deploy.

Remove unsanctioned agent connections

Trace every Bedrock agent’s connections and compare to approved apps to reduce the blast radius and prevent data exposure.Trace every Vertex agent’s connections and compare to approved apps and MCP servers to reduce the blast radius and prevent data exposure.

Protect sensitive systems: Limit agent access to only approved systems.