Learn your world before risk becomes reality.
Bay is the single control plane for the AI ecosystem.
Understand every agent across all surfaces: what it is, who’s running it, and what it can reach.
Bay finds and classifies every agent, extension, package, MCP server, skill and model across your organization automatically.
Every agent, package, extension, MCP server and skill is scanned for malicious indicators before its approved.
Bay builds a contextual entity graph of how everything connects: the user behind each agent, the MCP servers and SaaS apps it touches, and the access it holds.
See the full reasoning chain, from prompt and response through each tool call and skill, all the way to what happened on the system.
Bay learns your workflows, risk appetite and how your
teams actually work, so policies are tailored to you.
Lighthouse, Bay’s embedded AI system, learns from your historical agentic activity, so policy fits from the start. No weeks of baselining.
Bay reasons through the whole session, not just the last command, and builds policy around each agent’s intent.
Unsafe settings, toxic combinations and credentials exposed to MCP servers, surfaced and put right before an agent finds them.
Lighthouse, Bay’s embedded AI system, turns what it learns into guardrails for each team and keeps tuning them as your organization changes.
Stop risky agent actions in the moment, before damage is done.
Guardrails are enforced at runtime, inline with the agentic action and returns allow, ask, steer or block in milliseconds.
Autonomous agents often work with no one watching. When one starts to drift, Bay steers it back on course instead of stopping the work.
Run any policy in simulation mode to see what it would allow, ask or block, before anyone is affected.
Every decision is logged against the policy behind it, ready for your auditors.
Fully deploys in under 5 minutes
Works with your stack without replacing it.
Bay learns
- quietly in the background