Bay is the single control plane for all agentic activity on your endpoints. It discovers every agent, MCP server, extension, and skill, scans each component for risk, and enforces context-aware guardrails that adapt to how your teams work. From prompts and responses to tool calls and system actions, harmful actions stop before they complete.
Bay is the single control plane for all agentic activity on the endpoint. AI agents now act, decide, and adapt on their own across enterprise devices, and security teams cannot see which agents are running, what they can reach, or how to stop a harmful action before it completes. Traditional endpoint tools watch OS-level events; they cannot see agent-level decisions, local MCP servers, or the prompt-to-action chain behind them.
Bay closes that gap with an agentless platform that deploys through your existing MDM or EDR in under 5 minutes, with no persistent agent, proxy, or kernel driver.
Built on AWS, the platform:
Discovers every AI agent, MCP server, browser and IDE extension, package, and skill across the fleet, surfacing shadow AI on 100% of deployments and mapping every user, permission, and credential into a contextual entity graph with 200+ built-in detection rules, risk-scored findings, and guided remediation.
Scans every component for malicious indicators, typosquats, CVEs, and risky permissions, with centralized approve and block controls across the agentic supply chain.
Monitors every agent action in real time with full context, human versus autonomous, the complete prompt-to-action chain, and timestamps, closing the audit gap for SOC 2, ISO 27001, and SOX.
Builds tailored, session-aware policies with Lighthouse, Bay's AI policy-building agent, which learns each team's workflows and risk appetite so enforcement fits from day one, with no baselining period, and adjusts automatically as people change teams. Pre-built templates and IdP-mapped group policies included.
Enforces in real time on the endpoint: Bay evaluates the full session, not one action at a time, and returns Allow, Ask, or Deny on every agentic tool call locally, in under 4ms, without SIEM lag.
Connects to your stack through Bay's MCP/API interface: query findings, manage policies, and pull Bay data into your own AI agents, copilots, and workflows.
By combining discovery, posture management, supply chain control, and real-time enforcement, Bay takes security teams from no visibility into agentic activity to full governance and prevention, with dedicated onboarding and customer success support from day one. The result: your organization gets to say yes to AI agents and scale AI adoption without scaling risk.
Highlights
Agentless, full visibility: deploy through your existing MDM or EDR in under 5 minutes and discover every agent, MCP server, extension, package, and skill, plus who runs it and what it can reach
Auto-calibrated policies: Lighthouse learns your workflows, risk appetite, and how each team actually works, so policy fits from day one without weeks of baselining
Runtime enforcement: Bay Enforcer weighs the full session, not one action at a time, and returns Allow, Ask, or Deny on the device in under 4 ms.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Bay prices in three separate units, each covering 100 items. You buy Bay Endpoint units to protect 100 endpoints and Bay Cloud Workloads units to protect 100 cloud workloads. These two options work independently, so you pick coverage based on what you need to secure. Bay Browser is an add-on to Bay Endpoint, providing 100 browser licenses. You cannot use Browser on its own; it extends Endpoint coverage. To scale any dimension, add more units in blocks of 100. This lets you match spend to the size of each environment.
Top-of-mind questions for buyers
What counts as one endpoint or one cloud workload for billing?
An endpoint is a device the platform covers, such as a laptop or server. A cloud workload is a hosted compute resource in your cloud environment. Each unit covers 100 of that item. You count your devices and workloads separately, then buy enough units of each to cover them.
Which units drive my bill, and can I buy them independently?
Bay Endpoint and Bay Cloud Workloads bill independently, each in blocks of 100. Buy only the units matching what you need to protect. Bay Browser cannot bill on its own; it requires Bay Endpoint. So Browser charges add to Endpoint charges rather than standing alone.
How does deployment affect what I need to buy?
Bay deploys through your existing endpoint management or device management tools, without installing new agents. This means the units you buy map to devices and cloud workloads already in your environment. You size unit counts to your current fleet, then add blocks of 100 as it grows.
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